WO2016176265A1 - Procédés et systèmes d'imagerie de cerenkov de détermination de dose de rayonnement - Google Patents

Procédés et systèmes d'imagerie de cerenkov de détermination de dose de rayonnement Download PDF

Info

Publication number
WO2016176265A1
WO2016176265A1 PCT/US2016/029458 US2016029458W WO2016176265A1 WO 2016176265 A1 WO2016176265 A1 WO 2016176265A1 US 2016029458 W US2016029458 W US 2016029458W WO 2016176265 A1 WO2016176265 A1 WO 2016176265A1
Authority
WO
WIPO (PCT)
Prior art keywords
cherenkov
image
radiation
reflectance
light
Prior art date
Application number
PCT/US2016/029458
Other languages
English (en)
Inventor
Rongxiao ZHANG
Brian William Pogue
Adam K. GLASER
David J. GLADSTONE
Lesley A. JARVIS
Jacqueline M. ANDREOZZI
Shudong Jiang
Scott Christian DAVIS
Johan Jakob AXELSSON
Original Assignee
The Trustees Of Dartmouth College
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by The Trustees Of Dartmouth College filed Critical The Trustees Of Dartmouth College
Priority to AU2016253948A priority Critical patent/AU2016253948A1/en
Priority to CA3022122A priority patent/CA3022122A1/fr
Priority to EP16787023.7A priority patent/EP3288634A4/fr
Priority to US15/160,576 priority patent/US10940332B2/en
Publication of WO2016176265A1 publication Critical patent/WO2016176265A1/fr

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1071Monitoring, verifying, controlling systems and methods for verifying the dose delivered by the treatment plan
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1049Monitoring, verifying, controlling systems and methods for verifying the position of the patient with respect to the radiation beam
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1075Monitoring, verifying, controlling systems and methods for testing, calibrating, or quality assurance of the radiation treatment apparatus
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1049Monitoring, verifying, controlling systems and methods for verifying the position of the patient with respect to the radiation beam
    • A61N2005/1059Monitoring, verifying, controlling systems and methods for verifying the position of the patient with respect to the radiation beam using cameras imaging the patient
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N5/00Radiation therapy
    • A61N5/10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
    • A61N5/1048Monitoring, verifying, controlling systems and methods
    • A61N5/1075Monitoring, verifying, controlling systems and methods for testing, calibrating, or quality assurance of the radiation treatment apparatus
    • A61N2005/1076Monitoring, verifying, controlling systems and methods for testing, calibrating, or quality assurance of the radiation treatment apparatus using a dummy object placed in the radiation field, e.g. phantom

Definitions

  • the present document describes apparatus and methods for imaging and monitoring radiation treatments such as are frequently administered in malignant diseases.
  • Charged particles such us electrons, positrons, protons, or alpha particles, moving at greater than the effective speed of light in a medium tend to slow down while releasing Cherenkov radiation.
  • Mammalian tissue including human tissue, is a medium where the speed of light is reduced relative to air or vacuum due to its refractive index being greater than unity. Therefore fast-moving charged particles release Cherenkov radiation after entering such tissue.
  • Water is also a medium where the speed of light is reduced relative to air or vacuum, fast-moving charged particles in water also release Cherenkov radiation after entering such water.
  • Cherenkov emission has been detected with incident radiation in the range of 6 to 24 MeV energies for both x-ray photons as well as electrons. It is expected that Cherenkov radiation will also be released from beams of very-high-energy protons and other charged particles.
  • beam shape and position is adjusted by positioning deflection magnets or shielding devices, it can be important to confirm that the resulting beam shape and dosage profile are as desired prior to exposing patients to the beam; radiation treatment centers may therefore desire to confirm beam shape and dose profile for complex beam shaping procedures for each patient, or as part of routine calibration and maintenance.
  • a system for providing monitored radiation therapy has a source of pulsed high energy radiation disposed to provide a radiation beam to a treatment zone, the high energy radiation of 200 keV or greater; a camera for imaging Cherenkov light from the treatment zone; apparatus for preventing interference by room lighting by
  • the processor uses a three-dimensional model of a subject to determine a mapping of image intensity in the images of Cherenkov light to radiation intensity in skin of the subject, to acquire multiple images of Cherenkov light, to apply the mapping to the images of Cherenkov light to map skin dose, and to accumulate skin dose by summing the maps of skin dose.
  • biological features apparent in the tissue which appear in the Cherenkov emission image can be used as landmarks or fiducials for verification of the beam delivery accuracy.
  • the major blood vessels have high Cherenkov absorption and appear as dark lines in the image, and are therefore apparent in the images and useful for soft tissue fiducials. These are apparent in successive days in fractionated therapy, so that they could be used for patient alignment verification on a day to day basis.
  • the images can be recorded and saved in the patient record for a permanent verification of the delivered radiation treatment.
  • a method of determining surface dose during radiation treatment of a first object beneath a surface of a second object to limit dose at the surface includes obtaining stereo images of the surface, and extracting a three- dimensional computer model of the surface; determining a mapping of image brightness at the surface in Cherenkov light images obtained by a digital camera to radiation intensity; recording surface brightness at the surface in a plurality of Cherenkov light images; and a summing step including using the mapping of image brightness at the surface to translate each Cherenkov light image into a surface dose image, or summing the surface dose images to provide a total session surface dose image.
  • the method continues with summing the image brightness in each Cherenkov light image into a total session surface Cherenkov light image and using the mapping of image brightness at the surface to translate the total session surface Cherenkov light image into a total session surface dose image.
  • the method concludes with displaying the total session surface dose image.
  • a Cherenkov imaging system for determining surface radiation dose for a subject undergoing radiation therapy includes (a) a first camera for capturing a Cherenkov image of Cherenkov radiation from a surface region of the subject undergoing Cherenkov-radiation-inducing radiation therapy, (b) a second camera for capturing a reflectance image of reflectance of optical illumination off the surface region, and (c) a correction module for correcting the Cherenkov image based upon the reflectance image to form a corrected Cherenkov image that indicates radiation dose for the surface region.
  • a Cherenkov imaging method for determining surface radiation dose for a subject undergoing radiation therapy includes correcting a Cherenkov image, of Cherenkov radiation from a surface region of the subject undergoing Cherenkov-radiation-inducing radiation therapy, using a reflectance image, of optical illumination reflected by the surface region, to form a corrected Cherenkov image that indicates radiation dose for the surface region.
  • FIG. 1 is an illustration of a system for performing monitored radiotherapy.
  • FIG. 2 is an approximate flowchart of a method of monitoring radiotherapy.
  • FIG. 3 is an illustration of an alternative embodiment of a system for performing monitored radiotherapy with time-controlled room lighting and camera sensing of light emissions from a subject.
  • FIG. 4 is a block diagram of apparatus for determining beam profiles of high energy radiation for use in radiotherapy.
  • FIG. 5 is an approximate timing diagram of time windows showing relationships of room lighting, beam pulses, and camera shutter windows.
  • FIG. 6 illustrates a system utilizing a single camera, or camera pair, on a rotating mount for determining profiles of high energy radiation for use in radiotherapy.
  • FIG. 7 illustrates the system of FIG. 3 from a different angle.
  • FIG. 8 illustrates a system having multiple cameras on a fixed mount outside the tank.
  • FIG. 9 illustrates a system having multiple cameras mounted inside the tank.
  • FIG 10 illustrates a system having the beam enter the tank from above the tank.
  • FIG. 11 is a flowchart of a method of determining beam profiles of high energy radiation for use in radiotherapy.
  • FIG. 12 is an illustration having a spherical or cylindrical tank with internal cameras, with the tank mounted on a rotary mount.
  • FIG. 13 is an illustration of a radiation treatment system having realtime observation of skin dose using Cherenkov radiation emitted by the interaction of beam and skin.
  • FIG. 14 is an illustration of a three-dimensional model of tissue, such as a breast, derived by stereo vision surface extraction and used in mapping image intensity to skin dose.
  • FIG. 15 is a flowchart of operation of the system of FIG. 13
  • FIG. 16 is an illustration of skin dose intensity as imaged by the system of FIG. 13.
  • FIG. 17 is a photograph of a subject indicating areas of skin damage correlated to areas of high dose in FIG. 16.
  • FIG. 18 illustrates one Cherenkov imaging system for determining radiation dose for a surface region of a subject undergoing radiation therapy, according to an embodiment.
  • FIG. 19 is a diagram showing exemplary illumination of a surface region of a subject by optical illumination.
  • FIG. 20 is a diagram showing exemplary illumination of a surface region of a subject by multi-colored optical illumination.
  • FIG. 21 illustrates one Cherenkov imaging method for determining radiation dose for a surface region of a subject undergoing radiation therapy, according to an embodiment.
  • FIG. 22 illustrates another Cherenkov imaging system for determining radiation dose for a surface region of a subject undergoing radiation therapy, according to an embodiment.
  • FIG. 23 illustrates another Cherenkov imaging method for determining radiation dose for a surface region of a subject undergoing radiation therapy, according to an embodiment.
  • FIG. 1 A system 100 for providing radiotherapy and monitoring factors known to affect the effectiveness of radiotherapy, and monitoring effects of radiotherapy on tissue, is illustrated in FIG. 1.
  • Portions of a subject 102 containing a tumor 104 requiring radiotherapy are placed within an enclosure 106 for excluding light.
  • the enclosure 106 may be made of black plastic or cloth, and has a sealing portion 108 drawn tight by an elastomeric band such that a subject' s eyes may be permitted access to ambient light and thereby prevent claustrophobia while still excluding room light from optical fibers 114. It is anticipated that a variety of enclosures 106 may be provided to exclude light from various portions of a subject in various embodiments, in some embodiments light may be excluded from a subject' s cranium, in others from a subject' s chest or abdomen, according to location of tumor 104 within subject 102 and desired beam angles.
  • enclosure 106 is an entire room containing the subject 102.
  • a rapidly pulsed light source 107 is used that appears steady to the human eye. Pulses of light source 107 are timed, and appropriate gating of the detector 116 or camera 117 used, such that imaging or sensing of Cherenkov radiation is done at intervals where light source 107 is off, and radiation beam 110 is on.
  • An accelerator 108 or other device for providing high energy radiation, is aimed to provide a beam 110 of radiation through normal tissue 112 to tumor 104.
  • the system herein described uses incident radiation from accelerator 108 at beam energies of at least 200 keV because, at beam energies of less than 200 keV (0.2 MeV), Cherenkov radiation is typically of insufficient intensity for imaging.
  • the accelerator 108 provides a beam of electrons having energy of 6 million electron volts (6 MeV) or greater, in a particular embodiment the beam energy lies between 6 and 24 MeV.
  • the device for providing high energy radiation provides a beam of high energy photons, the photons interact with tissue or tumor to produce charged particles that in turn produce Cherenkov radiation.
  • the accelerator 108 provides a high-energy proton beam.
  • the radiation source is implanted in the body, inducing Cherenkov emission light directly as charged particles are emitted during radiation decay.
  • the subject 102 and enclosure 106 is positioned within a room having subdued lighting.
  • At least one, and in an embodiment an array of many, optical fibers 114 are provided and positioned, such as in contact with or close to, subject 102 in enclosure 106, for collecting any light that may be emitted from subject 102.
  • a camera system. 117 having a lens system, adapted to collecting light from the subject and an array photosensor for detecting the collected light, positioned some distance from the subject is used to image light emitted from the tissue.
  • Optical fibers 114 provide light to multichannel spectrographic detector 116.
  • a wavelength-dependent dispersive device such as a prism or diffraction grating for separating light according to wavelength, and an array of photosensors such as a CCD or CMOS sensor, an array of PIN diodes, or an array of photomultiplier tubes.
  • optical filters are inserted in the detection channel before the spectrograph to reduce ambient light and Cherenkov emission above or below a specified wavelength range, thus reducing the required dynamic range of the detector.
  • the array of optical fibers 114 and detector 116, or camera 117 are forms of an imaging system adapted to imaging light from subject 102, such as Cherenkov light generated by interactions of the beam of high energy radiation with tissue of the subject.
  • Detector 116 provides information indicative of received light amplitude at each of many wavelengths to processor 118.
  • Processor 118 analyzes this information to provide indications of heme concentration in tumor, oxygen concentration in tumor, and other parameters (such as metabolic activity and oxygenation) provided by photo-luminescent emission
  • detector 116 is a spectrally sensitive detector constructed of a filter wheel and photodetector, providing spectral information on captured light from fiber 114 by alternately interposing an assortment of filters each having a passband at a wavelength of interest.
  • a tunable filter is used in place of a filter wheel.
  • a filter wheel or tunable filter is placed in front o a camera positioned some distance from the subject. This embodiment allows collection of a series of images, each image of the series imaging light from the subject at a different wavelength band, to allow spectral analysis on the series of images.
  • detector 116 is timed to be enabled in a temporal relationship after each radiation pulse, such that the emissions from Cerenkov excited luminescence, such as phosphorescence or fluorescence, are captured, allowing a capture of images of light emitted from a secondarily- emitting chemical or indicating agent, such as a fluorescent, or phosphorescent chemical, in or on the tissue and as stimulated by Cherenkov radiation emitted as radiation interacts with the tissue.
  • This time sequenced signal is generated from the Cherenkov radiation, but can provide information regarding the bio-molecular environment of the tissue being irradiated.
  • the secondarily-emitting chemical in some embodiments is a chemical intrinsic to the body, and in some embodiments is a drug, or a metabolite of a prodrug, that is administered to the subject.
  • detector 116 is replaced with a camera 117 having similar timing characteristics and spectral sensitivity.
  • the imager whether including detector 116 and/or camera 117, in embodiments using secondarily-emitting substances may be sensitive to light in infrared as well as some visible wavelengths.
  • the imager is a hyperspectral camera.
  • a hyperspectral camera is a camera having spectral response that extends beyond the visible light spectrum, such as a camera able to respond to at least some near-infrared light.
  • a hyperspectral camera is a camera that is adapted to resolve wavelengths of received light into more, and narrower, bins than the three (red, green, and blue) wavelength bins of a typical color electronic camera.
  • Hyperspectral cameras are known in the electronic camera art that are capable of resolving received light into do/ens of wavelength bands, including one or more infrared bands; such cameras may operate by using patterned filters on photosensor arrays that have more than the usual three colors o filters, or by using line-scanning spectrographic techniques.
  • the system 100 is operated according to a method illustrated in FIG. 2.
  • the subject is prepared 202 for multidose radiotherapy as known in the art of
  • tumor 104 is localized and imaged, alignment marks may be applied by tattoo or in other ways, and aiming and positioning masks or frames may be made.
  • a desired dose of radiation for each session is prescribed.
  • an enhancing and indicating agent is administered 204.
  • the enhancing and indicating agent is a dose of 20 milligrams per kilogram body weight of 5 -delta- aminolevulinic acid (5-ALA), the dose being administered an incubation time of approximately four hours before each divided radiotherapy session begins.
  • PpIX Protoporphyrin IX
  • other enhancing agents may be developed or utilized. PpIX production in normal tissue 112 and tumor 104 is due to metabolic processes in those tissues and a quantity of PpIX produced in those tissues is dependent on an amount of metabolic activity in those tissues.
  • the subject 102 is then placed 206 in a darkened environment, which in an embodiment includes placing those parts of the subject to be subjected to radiotherapy within enclosure 106, and positioning light collecting fibers 114 to collect light from the subject 102, as heretofore described with reference to the enclosure.
  • the tumor is then treated 210 by having accelerator 108 then provide a beam of high energy charged particles aimed along a beam path at tumor 104 to perform radiotherapy of the tumor.
  • the subject 102 may be rotated during the session to distribute radiation absorbed by normal tissues 112 while maintaining beam targeting at tumor 104.
  • Some of the light generated by Cherenkov radiation propagates to light collecting fibers 114, and some may be absorbed by fluorophores (or phosphors) within subject 102, including fluorophores (or phosphors) within normal tissue 112 and tumor 104.
  • fluorophores within subject 102 are any PpIX produced from metabolic activity in tissue 112 and tumor 104.
  • Light from Cherenkov radiation that is absorbed by fluorophores (or phosphors) in tissue and tumor may stimulate photo-luminescent emission by those tissues and tumor.
  • the dominant absorption is from deoxyhemoglobin and
  • oxyhemoglobin which differ in their spectral absorption, and so changes in spectral characteristics of the attenuated light emitted from the subject are a reasonable measure of oxygen saturation of the blood in the region.
  • PpIX Protoporphyrin IX
  • incident radiation stimulates emission of blue Cherenkov radiation within the subject, which in turn stimulates fluorescent light emission by PpIX; some of the fluorescent light from the PpIX is then emitted from the subject and imaged.
  • processor 118 utilizes a model of light propagation from the beam path through a model of subject 102 to determine a spatial model of light emitted within, and light attenuation within, subject 102 and tumor 104. It is expected that such an embodiment could offer enhanced accuracy over an uncorrected system.
  • a Monte-Carlo photon propagation model is used.
  • beam 110 is directed at tumor 104 from multiple angles through tissue 112 within each treatment session. In such an
  • processor 118 uses information regarding beam angle to correlate measurements such that tumor oxygenation and tumor metabolic activity determined during one session is compared with tumor oxygenation and metabolic activity determined along a similar beam angle in other sessions. [0067] Processor 118 quantifies Cherenkov emission 216 in tumor and total hemoglobin from an amount of light measured at one or more wavelengths to which oxyhemoglobin and deoxyhemoglobin are isosbestic.
  • Processor 118 quantifies percent oxygenation 218 of hemoglobin in tumor from light quantity received at 2 specific wavelength bands such as bands centered at 750nm and 580nm wavelengths.
  • the measured spectral characteristics of light captured by fibers 114 are curve-fit to pre-measured Cherenkov emissions spectra and transmission attenuation data obtained from samples of liquid with blood and water that have been oxygenated and deoxygenated.
  • Processor 118 quantifies metabolic activity 220 of tumor by quantifying fluorescent emission from PpIX by quantifying received light from fibers 114 in the 640-720 nanometer wavelength band, and applying any corrections provided in the embodiment.
  • these corrections may include corrections from a Monte-Carlo or diffusing photon propagation model of the tissue.
  • the stimulation of fluorescence emission by protoporphyrin IX can be taken as a signal which is proportional to the amount of PpIX produced, and this is indicative of metabolic activity in the tumor.
  • Destruction of cellular mitochondrial function through radiation damage due to the applied radiotherapy would appear in some embodiments as a reduction of PpIX production, and hence a decrease in light emitted at PpIX fluorescent wavelengths versus light emitted at Cherenkov wavelengths in the detected spectrographic signals.
  • fluorescent emissions from another metabolite are used as a fluorophore for tracking metabolic activity of tumor 104, the fluorophore being excited by the Cherenkov radiation.
  • the fluorescent emission could be used to track the activity of an alternative enhancement agent, such as antibodies or antibody fragments to cell surface receptors tagged with a fluorescent (or phosphorescent) dye.
  • fluorescent emissions from NADH or NAD excited by the Cherenkov radiation are used as indicators of metabolic activity within tumor 104.
  • changes in metabolic activity in tumor 104 from a first treatment session to a later second treatment session as measured by PpIX or other fluorescent emissions measured by processor 118 are also expected to be indicative of treatment effectiveness.
  • changes in metabolic activity in tumor 104 from a first treatment session to a later second treatment session as measured by PpIX or other fluorescent emissions measured by processor 118 are also expected to be indicative of treatment effectiveness.
  • In fractionated radiotherapy subjects may receive as many as 30 to 40 fractions of a total radiation dose, each fraction being administered on a separate day as part of a total treatment series.
  • changes in tumor metabolic activity are expected if the tumor is responsive to therapy. It is expected that metabolic signal changes would occur as a decrease in the fluorescent signal over time if the patient is responding to therapy.
  • multiple spectrographic analyzers are provided, each coupled to receive Cherenkov and fluorescent emissions from a different point on the subject through separate pickup fibers.
  • diffuse optical modeling or Monte Carlo modeling software executing on processor 118 allowing reconstruction of a shape and spectral characteristics of an emissions zone within the subject, and for determining spectral characteristics of light emitted within the tumor as opposed to light emitted elsewhere (such as in normal tissues) in the subject by compensating for changes due to light transport in surrounding tissues.
  • the diffuse optical modeling software provides for more accurate estimation of the fluorescent emissions thereby refining the measurements to more directly inform about pertinent areas of tissue.
  • light emissions from the subject are sampled only from certain predetermined beam locations or from certain predetermined locations within the subject, with the goal of maximizing information from non-tumor tissues.
  • comparison of measurements of emitted light spectra from tumor and non-tumor regions is performed to accurately calibrate data to the individual subject, making interpretation of changes over different days more reliable.
  • optical collecting fibers placed within body cavities or, in some alternative embodiments, even directly implanted in tumor 104.
  • Light from such fibers is processed by spectrographic detector 116 and processor 118 in a manner similar to that stated herein for light from fibers 114.
  • additional collecting fibers may permit improved accuracy by enabling the system to track light signals which do not propagate well in tissue, or minimizing the spectral distortion of light passing through tissue to the detector.
  • implantation of fibers onto surfaces or in cavities is incorporated as part of radiation therapy preparation.
  • Measurement of emission stimulated by radiation emitted from implanted radio-isotope sources, such as brachytherapy seeds is feasible, and can allow direct measurement at the tissue site where the radiation is imparting maximal energy. Implanting fiber optic measurements at these sites is feasible via fiber optics or small photodiode arrays. Following the same procedures as above, the tissue function or blood oxygen saturation could be probed during the prolonged delivery of radiation during brachytherapy radiation delivery.
  • the timing interfaces 120 controls an effective shutter (Fig. 5) interval 200 of the spectrographic detector 116 to effectively consider only light received by the cameras in an interval 202 during and/or surrounding pulses of, and including a fluorescent decay interval 204 after, pulses 206 of the beam. Timing interfaces 120 also controls and pulses room lighting such that the shutter interval does not overlap pulses 208 of the room lighting. Light received at the spectrographic detector 116 during multiple shutter intervals is totalized, in an embodiment at the camera, and in an alternative embodiment multiple images are captured and per-channel spectrographic light totals are totalized by processor 118.
  • an alternative embodiment 150 as an alternative to optical fibers 114 and multichannel spectrographic detector 116, high-sensitivity electronic cameras 166, 168, are used to image Cherenkov light and localize locations on the subject where this light is emitted.
  • some optical fibers 114 and multichannel spectrographic detectors 116 are provided, with the fibers placed in particular tumor locations, and electronic cameras 166 are provided for imaging light escaping from the subject.
  • a subject 102 is placed in the path of a radiation beam 160 such that the beam intersects tumor 104.
  • Beam 160 is provided by an accelerator 108, or other device for providing high energy radiation, and is typically shaped by beam-shaping apparatus 164.
  • the subject 102 is located within an environment that excludes daylight, and light from uncontrolled sources, such as incandescent lamps, is also excluded.
  • a drape or paint of a light- absorbing material is provided so that stray light emitted from the subject 102 and not absorbed by a camera 166, 168 is absorbed.
  • the accelerator 108 provides a beam of electrons having energy of 6 million electron volts (6 MeV) or greater, as used to provide treatment energy to deep tumors as opposed to treatment of surface skin. In a particular embodiment the beam energy lies between 6 and 24 MeV. In an alternative embodiment, the accelerator 108 produces a photon beam of 6 MeV or greater. In another alternative embodiment, the accelerator 108 provides a high-energy proton beam. In an alternative embodiment, an electron beam having electron energy of 0.5 MeV or greater is used.
  • At least one camera 166 is used to capture the images, and in an embodiment a second or more cameras 168, are positioned to provide multiple images of Cherenkov and fluorescent radiation emission from subject 102.
  • a second or more cameras 168 are positioned to provide multiple images of Cherenkov and fluorescent radiation emission from subject 102.
  • multiple cameras with a defined linear and angular spacing between them at each camera location are provided.
  • the cameras 166. 168 are coupled to camera interface 1 72 of image processing system 174; camera interface 172 captures and stores digital images from the cameras 166, 168, in memory 176 for processing by at least one processor 178 of the image processing system 174.
  • processor 178 interfaces with a timing interface 120 and a display subsystem 182.
  • Timing interface 120 is adapted to determine timing of pulses of radiation from the radiation beam source 108, to control pulsed room lighting 122 to avoid interference from room lighting in the way discussed with reference to Fig. 5, and to synchronize light or image capture by spectro graphic detector 116 or cameras 166, 168 at shutter intervals discussed with reference to Fig. 5.
  • the image processor is configured by machine readable instructions to operate the camera twice for each Cherenkov- light image.
  • the camera is operated to obtain a first image during the time the radiation beam is ON; this image is exposed by both room lighting and by Cherenkov light.
  • a second image is then obtained during a nearby time, and for an equivalent shutter period, when the radiation beam is OFF, and therefore is exposed by room lighting alone.
  • the Cherenkov- light image used for further processing is determined by the image processor by subtracting the second image from the first image, leaving an image corresponding to an image taken under Cherenkov light alone.
  • the room lighting is replaced by a subdued, monochromatic, light at a first wavelength or first wavelength band.
  • This may, for example, be light provided by light-emitting diodes.
  • the Cherenkov-light images are obtained at wavelengths other than the first wavelength by use of a notch filter that blocks light of the first wavelength or wavelength band. Since Cherenkov emissions are typically broadband, albeit more intense toward the blue end of the spectrum, a Cherenkov-light image that excludes light of the first wavelength, but includes other wavelengths, is adequate for determining beam shape and intensity of skin irradiation.
  • the first wavelength may be a green wavelength.
  • Cherenkov light emitted at the skin surface can be visualized by imaging at blue wavelengths, and, since heme in tissue blocks many short wavelengths of light, Cherenkov light emitted at deeper levels in tissue may be visualized by imaging at wavelengths in red wavelengths. Cherenkov-stimulated fluorescent and phosphorescent emissions may also be visualized by imaging at wavelengths in the infrared and red visible wavelengths.
  • the imaging system cameras 166, 168 are spectrally-sensitive cameras capable of providing spectral data permitting distinction between Cherenkov and fluorescent light, and in a particular embodiment permitting distinction between oxyhemoglobin and deoxyhemoglobin.
  • Spectrally-sensitive cameras suitable for this application may be implemented as black and white cameras equipped with apparatus for positioning and changing filters in front of each camera, such as rotatable multiple-filter disks; by deposition of custom filter elements in a pattern on pixel sensors of a photosensor array as is common for color cameras; or in other ways.
  • raw or de-noised images from the imaging system are recorded in a suitable digital memory system as documentation of the radiation treatment.
  • an effective shutter interval during beam pulse 206 is used to image light primarily emitted by Cherenkov mechanisms, and an effective fluorescent-emissions shutter interval 211 is used to capture light emitted from the subject or phantom by fluorescent and phosphorescent mechanisms.
  • light arriving in fibers 114 or light imaged by cameras 166, 168 is recorded as image pairs, with a first image of each pair indicative of light emitted during beam pulse 206 and a second image of each pair indicative of light emitted during the fluorescent shutter interval 211.
  • Processor 118 or 178 executes machine-readable instructions in associated memory, such as memory 186 to reconstruct first tomographic image sets of the subject from the first images of all image pairs captured, to reconstruct second tomographic image sets of the subject from the second images of all image pairs captured, and the ratios or otherwise processes the first and second tomographic image sets to determine a tomographic image set of fluorophore distribution in the subject.
  • the tomographic image set of fluorophore distribution in the subject is also indicative of metabolic activity in the subject.
  • the processor 118 or 178 further executes machine readable instructions in memory to compare the tomographic image set of fluorophore distribution in the subject against a tomographic image set of fluorophore distribution obtained during a prior radiation treatment session to produce a tomographic image set indicative of treatment effectiveness.
  • the term "apparatus for preventing interference by room lighting” as used herein shall mean either or both of an enclosure 106 surrounding and excluding ambient light from the subject, and the combination of timing interfaces 120 and pulsed room lighting 122.
  • FIG. 4 A system 300 for providing radiotherapy equipped with a subsystem for determining beam profiles is illustrated in FIG. 4.
  • a beam-calibration phantom 302 is placed in a zone where it is desired to measure a profile of a radiation beam 310 provided by a radiation treatment machine 312.
  • the zone may be a volume above or beside a treatment table 306.
  • the phantom is a fluid-filled tank, the fluid in the tank being a transparent fluid having an index of refraction greater than that of air; in a particular embodiment the transparent fluid is water.
  • the tank has transparent top and sides such as glass or transparent plastic.
  • the tank has sides constructed of acrylic sheets; another particular embodiment has sides constructed of polycarbonate panels.
  • a small amount of scattering agent is added to the liquid in the tank to enhance scatter of Cherenkov light but not affect propagation of the radiation beam, overcoming directionality of Cherenkov light and allowing more light to be detected laterally around the tank.
  • the treatment room may be blacked out to prevent interference of ambient light with measurements of the Cherenkov radiation because a phantom is not subject to claustrophobia like live subjects.
  • the tank is filled with a transparent fluid having an index of refraction greater than that of water, such as silicone oil.
  • a transparent fluid having an index of refraction greater than that of water, such as silicone oil.
  • the phantom is formed from a high-index, transparent, material, such as a cast high-index plastic, and may have both fluorophores and light-scattering additives embedded within it.
  • the treatment table 306 and phantom 302 are located within an environment that excludes daylight, and light from uncontrolled sources, such as incandescent and fluorescent lamps, and LED indicator lights, is also excluded.
  • the phantom walls are coated on their interior surface with a light- absorbing coating except for camera viewing windows positioned in front of each camera, the coating is provided to absorb both stray light originating from outside the phantom and to prevent Cherenkov light from being reflected from the phantom wall into a camera to give a false indication of beam profile.
  • a drape of a light- absorbing material is provided so that stray light emitted from Cherenkov radiation zone 320 and not absorbed by a camera is absorbed without being scattered back to the treatment zone.
  • the light-absorbing drape improves contrast in Cherenkov images by reducing stray light.
  • An accelerator 308, or other device for providing high energy radiation is aimed to provide a beam 310 of radiation through beam-shaping apparatus 314 to phantom 302.
  • the accelerator 308 provides a beam of electrons having energy of 6 million electron volts (6 MeV) or greater, in a particular embodiment the beam energy lies between 6 and 24 MeV.
  • the accelerator 308 produces a photon beam of 6 MeV or greater.
  • the accelerator 308 provides a proton beam.
  • the accelerator 308 produces a beam of electrons or photons having a substantial percentage of electrons or photons having energy of 1 MeV or greater.
  • At least one camera 316 is used to capture the images, and in an embodiment a second or more cameras 318, are positioned to provide multiple images of the Cherenkov radiation emission zone 320 where beam 310 intersects the transparent fluid of phantom 302.
  • a pair of cameras is used by providing two cameras 316 with a defined spacing between them at each camera location, allowing imaging of the beam with or without tomographic recovery.
  • a single camera 316; or in a variation as illustrated in FIG. 7, a single camera pair 316 is provided; the embodiments of FIG.
  • Fig. 7 illustrates the beam entering the tank from out of the page.
  • FIG. lO. where the beam comes from above the tank.
  • the cameras 316, 318 are coupled to camera interface 322 of image processing system 324; camera interface 322 captures and stores digital images from the cameras 316, 318, in memory 326 for processing by at least one processor 328 of the image processing system 324.
  • processor 328 interfaces with a timing interfaces 330 and a display subsystem 332.
  • a plurality of cameras 370 are disposed on a fixed frame 372 outside the volume of the phantom but configured to provide images of the emissions zone 320 from several angles.
  • a plurality of submersible cameras 374 are disposed within the volume of the phantom and configured to provide images of the emissions zone 320 from several angles.
  • submersible cameras 374 are cemented to a wall of phantom 376.
  • a camera is disposed to image the emissions zone from approximately every 60 degrees in the horizontal plane, into which the radiation beam is being sent.
  • the camera field of view is designed to capture the relevant depth of the beam into the tank from above, and the depth of focus of the cameras is designed to capture light from the entire cross section of the beam.
  • the angular arrangement is chosen to allow capture of the beam profile data in a time which matches with the temporal requirements of characterizing the beam. For example, fast beam profile changes or complex beam cross section shapes require more cameras and less mobile cameras, for fast profile imaging.
  • Camera numbers and viewing angles may in some embodiments be determined according to the expected beam profile; for example standard square beam cross sections may only require one or two cameras to characterize the beam, and may not even require tomographic recovery to characterize the beam.
  • beams may be imaged with a rotation stage or rotating frame for sequential imaging of the beam from multiple angles.
  • a standard square beam may be adequately profiled by only two camera positions at 90 degrees from each other, whereas a non-square or non-circular beam would require more camera positions for tomographic recovery of the profile.
  • adaptive delivery of radiation such as arc therapy or intensity modulated radiation therapy are imaged, then multiple parallel cameras would be desirable to allow imaging of the complex beam cross sections in reasonable or in real time during delivery to the tank.
  • the time constraints and complexity of the beam therefore determine the exact number of cameras and degree of sequential or parallel acquisition.
  • the tank is positioned 702 in the beam, and beam adjustment devices, if any, are adjusted 704 to provide a particular beam profile.
  • the cameras 316, 318, 370, 374 in all embodiments are disposed to provide images of the Cherenkov radiation emissions zone 320, where beam 310 intersects fluid of phantom 302, and may be repositioned 706 if movable camera mounts are used. It should be noted that, because cameras are likely to be damaged if the beam directly impinges on the camera, movable mount 340 is configured, and the cameras are located, to avoid direct impingement of the beam on any camera.
  • images and/or stereo pairs of images each are taken by sequentially 708 turning OFF room lighting, opening effective or physical camera shutters, pulsing the beam, then sequentially 710 turning off the beam, closing shutters, and turning ON room lighting.
  • This process results in multiple images taken from multiple angles of Cherenkov radiation zone 320 by cameras 316, 318, 370, 374. Once sufficient images are captured, they are processed 712 by processor 328 to generate a fully three dimensional image of the Cherenkov emission. These images are then used to tomographically reconstruct the beam profile.
  • the images obtained by any cameras located outside the phantom volume are corrected for distortions caused by refraction as light passes from the emissions zone 320 through known surfaces of the phantom.
  • a combination of rotation angles both vertical and lateral around the beam may be used.
  • the multiple camera image formation by tomography would use a filtered backprojection computational algorithm for recovery of the emissions zone 320.
  • Timing interfaces 330 are arranged to sense a timing of beam pulses provided by particle beam source 308 and to control room lighting 334 such that room lighting is pulsed and does not overlap pulses of beam 310.
  • timing interface 330 is arranged to control capture of images at camera interface 322 from stereo camera pairs 316, 318 to capture images of light emitted at emission zone 320 during pulses of beam 310, and to ignore light received by camera pairs 316, 318, during pulses of room lighting. It is anticipated that room lighting 334 may be provided by fast-responding light-emitting diode arrays.
  • the timing interfaces 330 controls an effective shutter (Fig. 5) interval of the cameras or stereo camera pairs 316, 318, 370, 374 to effectively consider only light received by the cameras in an interval 202 surrounding pulses of the beam.
  • the timing interfaces 330 also controls and pulses room lighting such that the shutter interval does not overlap pulses of the room lighting.
  • Light received at the cameras 316, 318, 370, 374 during multiple camera intervals is totalized, in an embodiment at the camera, and in an alternative embodiment multiple images are captured and pixel light totals are totalized by processor 328.
  • the beam is shut off.
  • at least one processor 328 then processes the images in memory 326, to construct a three-dimensional model of light emissions in the emission zone 320. Since the light emissions in the emissions zone are from Cherenkov radiation emitted as charged particles of beam 310 decelerate in the fluid of the phantom, with broadband spectral constituents decreasing with wavelength to the inverse square power, these light emissions relate directly to radiation dose from beam 310 passing into and absorbed in the emissions zone 320.
  • the reconstructed three dimensional model of light emissions in emissions zone 320 provides an indication of beam shape.
  • the processor 328 uses display subsystem 332 to provide displayable images illustrating cross section, overall surface, and tomographic images representing radiation dose profile in the emissions zone 320.
  • display subsystem 332 uses displayable images illustrating cross section, overall surface, and tomographic images representing radiation dose profile in the emissions zone 320.
  • processor 328 has at least one processor as known in the art of computing coupled to execute instructions from a memory system; in an embodiment the memory contains machine readable instructions for processing multiple sets of images to construct the three-dimensional models of light emissions in the emission zone 320, and to prepare displayable images representing radiation dose profile in the emissions zone; the memory containing machine readable instructions may be the same or a different memory than the memory 326 in which images are stored.
  • processor 328 has calibration information in its memory system, and translates the determined three dimensional models of Cherenkov light emission in the emissions zone into three dimensional models of radiation intensity and/or dose.
  • Monte Carlo simulations are used to study the complex directionality of Cherenkov radiation at each spatial location within the irradiated tank. Due to the finite field of view of the cameras, the intrinsic proportionality between the imparted dose and emitted Cherenkov radiation may be distorted. Therefore necessary calibration factors may be sought through analysis of the system and its camera placements.
  • Additional correction factors may be necessary to correct for inherent differences between the emitted Cherenkov light and imparted dose, specifically spatial locations where the relative fluence of low keV energy electrons is high.
  • a fluorophore or fluorescent dye in a phantom helps overcome distortions that may otherwise result due to the directionality of emitted Cherenkov radiation, whether the charged particles are part of a charged-particle radiation beam or induced by high-energy photons of a gamma-ray photon beam.
  • processor 328 has calibration information in its memory system for adjustment for beam attenuation in the phantom, and translates determined three dimensional models of light emission in the emissions zone into three dimensional models of radiation dose in tissue using that calibration information.
  • an effective shutter interval during beam pulse 206 is used to image light primarily emitted by Cherenkov mechanisms
  • an effective fluorescent shutter interval 211 is used to capture light emitted from the phantom by fluorescent and phosphorescent mechanisms.
  • light imaged by cameras 316, 318 is recorded as image pairs, with a first image of each pair indicative of light emitted during beam pulse 206 and a second image of each pair indicative of light emitted during the fluorescent shutter interval 211.
  • Processor 328 therefore executes machine-readable instructions in associated memory, such as memory 326 to reconstruct beam shape and beam energy distribution profiles from the captured image pairs.
  • images obtained during and after 211 multiple pulses 206 of the beam are summed and/or averaged.
  • an operator may turn on the beam, and have the system construct a model of emissions zone 320, then turn off the beam and view the images provided on display subsystem 332. If the beam fails to meet specifications 714 for a particular treatment, the operator may then use the images provided on display subsystem 332 to determine a different setting of beam-shaping apparatus 314 that should provide a beam that more closely resembles a beam desired for treatment of a patient. The operator may then adjust beam shaping apparatus 314, following which the beam is turned back on while new images of Cherenkov radiation in emissions zone 320 are captured by the cameras 316, 318, 370, 374, the beam then being turned off and a new three-dimensional model of the emissions zone and displayable images prepared. Once beam profile meets a desired beam profile, the phantom is removed and replaced by a patient, and the system may then be used to provide radiation of the desired profile for treating the patient.
  • parameters of the three dimensional model of the emissions zone and the displayable images are recorded in a machine-readable memory system, such that the model and images may be used to document treatment, for periodic quality assurance and calibration, or to seek regulatory approvals.
  • the parameters of the three dimensional model are used to satisfy monthly quality assurances checks on the clinical electron and x-ray photon beam qualities.
  • the system is utilized with optically translucent anthropomorphic tissue phantoms, or complex tissue phantoms to capture images of the beam shape in more complex geometries and tissue compositions than is possible in homogeneous water phantoms.
  • Motion Systems for Skin Dose and Beam-Skin Intersection Tracking are utilized with optically translucent anthropomorphic tissue phantoms, or complex tissue phantoms to capture images of the beam shape in more complex geometries and tissue compositions than is possible in homogeneous water phantoms.
  • a subject may be rotated in a radiation beam, or more commonly the radiation source is rotated about the subject, to irradiate a tumor within the patient from multiple angles, and thereby spread out radiation dose received by normal tissues of the subject.
  • surface images of Cherenkov emission from tissue are repetitively captured during standard courses of fractionated radiotherapy, and these images provide real time video of beam delivery on the subject' s tissue, both for relatively stationary and relatively moving beam and subject. Further, the images can be used as real time video or integrated to provide an estimate for total skin dose.
  • the images can be acquired from gated cameras set up inside or alongside the linear accelerator to image skin illuminated by the accelerator or at fixed positions within the treatment room.
  • the images have both information about the delivered dose map on the tissue as well as biological fiducial information, and both can be used in treatment verification.
  • One or more intensified CCD (ICCD) cameras 1114 are positioned on tripods 1116, suspended from ceiling of a room enclosing the accelerator, or attached 1118 to the accelerator 1102. At least two optical cameras, such as a stereo pair of cameras 1120, are also provided.
  • Accelerator 1102 may be equipped with a multi-leaf collimator 1126.
  • All cameras including ICCD cameras 1114 and stereo optical cameras 1120 are interfaced (connections are not shown for simplicity) through a camera interface 1122 to an image processor 1124 that has memory 1128 having recorded therein machine readable code for performing the steps referenced below with reference to Fig. 15.
  • image processor 1124 that has memory 1128 having recorded therein machine readable code for performing the steps referenced below with reference to Fig. 15.
  • high- sensitivity CMOS or other electronic cameras are used in place of ICCD cameras 1114.
  • An embodiment is used to provide skin dose totals over multiple sessions of treatment; a particular variation of this embodiment has positioning devices or camera mounts suitable for mounting ICCD cameras 1114 in the same position and angle from treatment session to treatment session such that images are comparable from session to session.
  • a stereo pair of images under white light is captured 1202 by stereo cameras 1120, and a three- dimensional computer model (fig. 14), is generated 1204 of skin of breast 1112 of subject 1108 in the area to be treated.
  • the skin is skin of other parts of human or other mammal anatomy, such as skin of a head.
  • a translation or mapping of image intensity at the skin surface in Cherenkov light images, as obtained by one or more ICCD cameras 1114, to surface radiation intensity is determined 1206.
  • the mapping is based in part on ray tracing from skin as modeled in the three dimensional model into the ICCD camera or cameras, and a scale factor determined by calibration.
  • a total session- dose image and model is then cleared 1208.
  • a sequence of images of Cherenkov light emitted from skin illuminated by a radiation beam 1130 from accelerator 1102 is obtained 1212 by at least one camera of ICCD cameras 1114 during beam-on intervals while ambient illumination is blanked as previously described.
  • Each image is then processed by applying 1214 the mapping of image intensity in Cherenkov light images as obtained by the ICCD cameras 1114 to surface radiation intensity.
  • the mapped surface intensity is then summed into the session total skin dose 1216 image or model.
  • the mapped surface intensity, the session total skin dose image, and a multisession total skin dose image obtained by summing a current session total skin dose image with prior session skin dose images, are provided 1218 in real time on display 1132.
  • the Cherenkov light images are summed, then the mapping of image intensity to surface radiation intensity is applied to provide a session total skin dose image.
  • the session total skin dose and multisession total skin dose are stored over a network 1134 in the subject's electronic health record (not shown), and the session total skin dose is summed into a multisession total skin dose.
  • the system permits direct observation of the effect altered multileaf collimator 1126 settings, and/or accelerator 1102 rotation about subject 1108, on the areas of skin illuminated by beam 1130. Further, the system permits determination of both session total and treatment total skin dose.
  • a pre-treatment simulation of predicted skin radiation dose versus time is copied into memory 1128.
  • image processor 1124 compares 1219 an image of skin dose derived from surface radiation intensity maps derived from Cherenkov light images to the pre-treatment simulation of skin radiation dose. If the skin dose determined from Cherenkov light images differs by more than a preset, configurable, limit from the pre-treatment simulation, an error 1221 is declared, the beam is turned off, and the session is aborted.
  • This embodiment makes use of the Cherenkov emitted light to prevent subject harm due to overdose, whether from failed equipment or improper system operation.
  • the processor 328 is provided with machine- readable instructions in memory 326 for determining if skin and organ dose as administered differs from planned dosage, or from prior dosage, by more than a limit in order to generate an error flag.
  • an error flag may be generated if a subject has shed weight, is miss-positioned, or otherwise needs treatment replanning.
  • a cumulative Cherenkov- light image is stored.
  • processor 328 executed machine readable instructions in memory 326 to retrieve a first or prior Cherenkov image from storage for comparison with current Cherenkov images, and the processor performs edge detection on this first or prior image, and feature extraction on the edge-detected prior image to provide prior features.
  • the processor then performs edge detection and feature extraction on a current Cherenkov image, and the current image features are mapped to prior image features.to determine correspondence points between the images.
  • a displacement between the features of the current image and the prior image is computed, and compared to limits. If the displacement exceeds the limits, the processor then generates an alarm to notify an operator.
  • a predicted skin-dosage map for dosage of, and simulated cumulative dosage through, a particular treatment session is generated from pre-treatment simulations and saved in memory 326.
  • a do-not-exceed-without-warning dosage is determined and set as a limit in memory 326.
  • a maximum difference percentage is also determined and set as a limit in memory 326.
  • the totalized skin dose is compared to the simulated cumulative skin dose, and if any pixels of the totalized skin dose differ from the simulated skin dose by more than the maximum difference percentage, an alarm is generated.
  • the comparison of simulated to totalized dose is performed by processor 328 performing edge detection in simulated skin dose at this treatment stage, performing edge detection in totalized skin dose as determined from Cherenkov radiation, determining a warping of totalized actual skin dose to simulated skin dose, performing image warping, and then comparing totalized actual skin dose to warped simulation skin dose.
  • the images are then compared and if any pixels differ by more than a limit, an alarm is generated.
  • the processor executes machine readable instructions to determine edges and features in both the current image, and in the totalized image. The processor then determines edge offsets between corresponding features and a warping function to correctly superimpose the images. The processor then uses the warping function to warp the current session total image to fit the prior images before adding it to the totalized image in order to compensate for weight loss or subject position.
  • the shape of the beam can be readily detected in the Cherenkov image, and if the multileaf collimators or the gantry angle are in error due to computer or human set up error, then the beam delivery can be halted manually (after display of the image to an operator) or automatically in order to avoid erroneous or excessive radiation dose.
  • significant biological features of the tissue such as blood vessels, moles and skin variations in absorption appear in the Cherenkov images as variations in detected intensity, and can be used to match the position of the subject each day while administering daily portions of fractionated radiation treatments.
  • Changes in subject position which could occur from day to day can be detected by changes or offsets in locations of these biological features in the images, indicating changes in relative position of beam and subject. These changes may result from subject weight changes, or differences in subject positioning. If these changes are found and exceed limits they can be used to alter the treatment plan or halt therapy until a cause is determined, and changes in subject positioning and/or multileaf collimator settings can be made to compensate.
  • Cherenkov images in visible light, with infrared fluorescent light excluded, may show regions of high and low emission, corresponding to areas of high and low skin dose to a depth of up to a centimeter in tissue.
  • Cherenkov images of a surface region of subject 102 may be used as a tool to determine surface radiation dose during radiation therapy.
  • the signal intensities in raw (as-captured) Cherenkov images are frequently affected by tissue- specific properties that produce artifacts in the Cherenkov images such that the
  • Cherenkov images do not provide an accurate representation of the delivered radiation dose.
  • tissue-specific features include tissue curvature and heterogeneities in optical properties of the tissue such as tanned skin versus normal skin, moles, tattoos, blood vessels, tumor resection cavities, and optical property changes caused by skin reactions to prior sessions of radiation treatment.
  • systems and methods are disclosed, which use a reflectance image to correct a Cherenkov image to eliminate or at least reduce artifacts caused by tissue- specific properties so as to generate a corrected
  • FIG. 18 illustrates one exemplary Cherenkov imaging system 1800 for determining radiation dose for a surface region 1890 of subject 102 undergoing radiation therapy.
  • Radiation beam 160 generated by charged particle or gamma radiation beam source 108, is aimed at tumor 104 and generates Cherenkov radiation in the tissue of subject 102.
  • surface region 1890 may or may not include at least a portion of tumor 104.
  • Cherenkov imaging system 1800 includes a camera system 1830 and a correction module 1850.
  • Camera system 1830 includes an electronic camera 1834 and a light source 1832.
  • Camera 1834 captures a Cherenkov image 1812 of Cherenkov radiation emitted from surface region 1890 when subject 102 is exposed to radiation beam 160.
  • Light source 1832 illuminates surface region 1890 with optical illumination
  • Camera 1834 captures a reflectance image 1836 of optical illumination 1835 as reflected from surface region 1890 when light source 1832 illuminates surface region 1890 with optical illumination 1835.
  • Correction module 1850 corrects Cherenkov image 1812, based upon reflectance image 1836, to produce a corrected Cherenkov image 1852.
  • Light source 1832 may be monochromatic, broadband, or multicolored. Without departing from the scope hereof, light source 1832 may omitted from system 1800 and optical illumination 1835 instead be provided through ambient illumination such as room lights 122.
  • optical illumination 1835 generated by light source 1832 is diffuse, for example to reduce or avoid glare in reflectance image 1836.
  • optical illumination 1835 generated by light source 1832 is polarized and camera 1834 is configured to, at least when capturing reflectance image
  • optical illumination 1835 filter the polarization of optical illumination 1835 reflected by surface region 1890 to deselect the polarization direction of optical illumination 1835 as generated by light source 1832.
  • light source 1832 and camera 1834 are equipped with polarizers that are mutually crossed such that only polarization components orthogonal to the polarization direction of optical illumination 1835, as generated by light source 1832, contribute to reflectance image 1836.
  • the polarizer associated with camera 1834 may be mounted on a filter wheel, or similar device, such that Cherenkov image 1812 in some embodiments is captured by the same camera without use of the polarizer.
  • Surface region 1890 scatters optical illumination 1835 in a manner similar to scattering of the Cherenkov radiation generated in surface region 1890.
  • the signal intensities in reflectance image 1836 provide a measure of the tissue-specific properties of surface region 1890.
  • Correction module 1850 utilizes reflectance image 1836 to at least partly correct artifacts caused by the tissue-specific properties of surface region 1890 such that corrected Cherenkov image 1852 is free of, or at least less affected by, these artifacts.
  • corrected Cherenkov image 1852 provides a determination of surface radiation dose for surface region 1890, which is more accurate than that provided by Cherenkov image 1812.
  • camera 1834 is a spectrally-sensitive camera capable of providing spectral data permitting distinction between Cherenkov radiation and optical illumination 1835. Camera 1834 may further be able to distinguish between Cherenkov radiation, optical illumination 1835, and fluorescent light, and in a particular embodiment permitting distinction between oxyhemoglobin and deoxyhemoglobin, as discussed above in reference to FIG. 3.
  • a spectrally-sensitive camera suitable for this application may be implemented as a black and white camera equipped with a filter- changer in front of the camera, or a hyperspectral camera, as discussed above in reference to FIG. 3.
  • system 1800 is configured to generate corrected Cherenkov image 1852 in the form of a three-dimensional (3D) surface map
  • correction module 1850 includes a surface model processor 1860 that processes 3D surface models and 3D surface maps.
  • camera system 1830 further includes a light-structure encoder 1833 that encodes patterns of light and dark, known as structure, onto optical illumination 1835 emitted by light source 1832 while camera 1834 captures at least one structured- light reflectance image 1838.
  • surface model processor 1860 uses the at least one structured-light reflectance image 1838 to generate a 3D surface model of surface region 1890.
  • system 1800 includes a stereo camera 1840 that captures a stereo image 1848.
  • surface model processor 1860 processes stereo image 1848 to generate the 3D surface model of surface region 1890, as discussed above in reference to FIGS. 3, 14, and 15, for example. Whether the 3D surface model is based upon stereo image 1848 or the at least one structured light reflectance image 1838, correction module 1850 may map corrected Cherenkov image 1852 onto the 3D surface model to output corrected Cherenkov image 1852 in the form of a 3D surface map. In a particular embodiment, one camera of the stereo camera does double-duty as a
  • Cherenkov-light imaging camera and/or as a reflectance-imaging camera.
  • system 1800 further includes a controller 1870 that controls timing of capture of Cherenkov image 1812 and reflectance image 1836, and also, if applicable, stereo image 1848 or the at least one structured reflectance image 1838.
  • controller 1870 pulses on light source 1832 and triggers capture of reflectance image 1836 by camera 1834 while light source 1832 is on.
  • Controller 1870 may trigger capture of Cherenkov image 1812 with timing as discussed above in reference to FIG. 5, while also ensuring that light source 1832 is off when camera 1834 captures Cherenkov image 1812.
  • controller 1870 may trigger capture of stereo image 1848 by stereo camera 1640.
  • controller 1870 trigger may configure light- structure encoder 1833 and trigger image capture by camera 1834 such that (a) light- structure encoder 1833, which may be a projection cathode-ray tube, a multimirror display device, a liquid-crystal display device, or a slide projector, encodes structure of one or more sequential patterns onto optical illumination 1835 during capture of the at least one structured reflectance image 1838 and (b) light-structure encoder 1833 does not encode structure onto optical illumination 1835 during capture of reflectance image 1812.
  • light- structure encoder 1833 which may be a projection cathode-ray tube, a multimirror display device, a liquid-crystal display device, or a slide projector, encodes structure of one or more sequential patterns onto optical illumination 1835 during capture of the at least one structured reflectance image 1838 and (b) light-structure encoder 1833 does not encode structure onto optical illumination 1835 during capture of reflectance image 1812.
  • FIG. 19 is a diagram 1900 showing exemplary illumination of surface region 1890 by optical illumination 1835 as performed by system 1800.
  • Surface region 1890 is the region of subject 102 from which Cherenkov radiation is captured in
  • Surface region 1890 has a characteristic depth 1910 below the surface of subject 102.
  • characteristic depth 1910 is in the range between two and six millimeters.
  • Surface region 1890 may have shape different from that shown in FIG. 19, without departing from the scope hereof.
  • reflectance image 1836 samples the same region of subject 102 as Cherenkov image 1812.
  • the penetration depth 1920 of optical illumination 1835 substantially matches characteristic depth 1910.
  • Penetration depth 1920 may refer to the distance 1901 into subject 102, at which the intensity 1902 of optical illumination 1835 has been attenuated to approximately 10%, 30%, or 37% (1/e) of the intensity of optical illumination 1835 at the surface of subject 102.
  • optical illumination 1835 is in the red to near-infrared spectrum to sample typical values of characteristic depth 1910.
  • FIG. 20 is a diagram 2000 showing exemplary illumination of surface region 1890 by multi-colored optical illumination 2010 generated by a multi-colored embodiment of light source 1832.
  • Multi-colored optical illumination 2010 is an example of optical illumination 1835.
  • multi-colored optical illumination 2010 includes two different spectral components 2012 and 2014.
  • multi-colored optical illumination 2010 may include three or more spectral components. Since Cherenkov radiation is spectrally broadband, multi-colored optical illumination 2010 may be better suited, as compared to
  • multi-colored optical illumination 2010 may be, or include, a spectrally broad component, for example with spectral width of a hundred or hundreds of nanometers.
  • Spectral components 2012 and 2014 have respective penetration depths 2022 and 2024, wherein penetration depth 2022 is different from penetration depth 2024. It is clear from diagram 2000 that spectral components 2012 and 2014, and optionally additional other spectral components, may be combined to better match the sampling intensity profile of
  • FIG. 21 illustrates one exemplary Cherenkov imaging method 2100 for determining radiation dose for surface region 1890 of subject 102 undergoing radiation therapy.
  • Method 2100 is performed, for example, by Cherenkov imaging system 1800.
  • method 2100 captures a Cherenkov image of
  • Step 2110 may include a step 2112 of irradiating surface region 1890 with a radiation beam that induces the Cherenkov radiation.
  • charged particle or gamma radiation beam source 108 irradiates surface region 1890 with radiation beam 160.
  • a step 2120 method 2100 captures a reflectance image of optical illumination reflected by surface region 1890.
  • camera 1834 captures reflectance image 1836.
  • Step 2120 may include a step 2122 of illuminating surface region 1890 with the optical illumination that produces the reflected light imaged in the reflectance image.
  • light source 1832 illuminates surface region 1890 with optical illumination 1835, such as discussed in reference to FIG. 19 or in reference to FIG. 20.
  • ambient light illuminates surface region 1890 with optical illumination 1835.
  • step 2122 illuminates surface region 1890 with diffuse optical illumination.
  • diffuse optical illumination may help reduce glare in the reflectance image and also better resemble the sampling of surface region 1890 by the Cherenkov radiation imaged in step 2110.
  • step 2122 illuminates surface region 1890 with polarized optical illumination
  • step 2120 further includes filtering the reflected optical illumination to produce the reflectance image based upon only randomly polarized reflected light.
  • step 2120 may image reflected optical illumination only of polarization orthogonal to the polarization of the incident polarized optical
  • step 2140 the Cherenkov image captured in step 2110 is corrected, based upon the reflectance image captured in step 2120, to form a corrected Cherenkov image that indicates the radiation dose for surface region 1890, at least with improved accuracy over the Cherenkov image captured in step 2110.
  • correction module 1850 corrects Cherenkov image 1812 based upon reflectance image 1836 to produce corrected Cherenkov image 1852.
  • step 2140 includes a step 2142 of reducing an artifact in the Cherenkov image captured in step 2110, wherein the artifact is caused by a tissue-specific light-transmission property, as discussed above in reference to FIG. 18.
  • step 2140 includes a step 2144 of normalizing the Cherenkov image captured in step 2110 to the reflectance image captured in step 2120.
  • correction module 1850 normalizes Cherenkov image 1812 to reflectance image 1836. This example of step 2144 benefits from Cherenkov image 1812 and reflectance image 1836 being spatially co-registered and subject to the same inherent camera properties.
  • corrected Cherenkov image 1852 is Cherenkov image 1812 normalized to reflectance image 1836.
  • step 2140 may use a model, such as a Monte Carlo simulation, that describes transport of both Cherenkov radiation (and optionally radiation beam 160) and optical illumination within surface region 1890, so as to account for differences in propagation through and sampling of surface region 1890 by the Cherenkov radiation and optical illumination.
  • This model is formed by independently simulating the propagation of each of (a) Cherenkov radiation and (b) the optical illumination for a plurality of different conditions, such as different tissue conditions of subject 101 and different configurations both for the radiation beam that induces the Cherenkov radiation and for the optical illumination.
  • Step 2140 may use modification parameters, according to this model, to compensate for the difference of propagation between the Cherenkov radiation and the optical illumination.
  • the model may be implemented as a looking up database with modification parameters for typical combinations of optical illumination properties (e.g., intensity, beam profile, and spectral composition), radiation beam properties (e.g., beam energy and beam type), geometries (e.g., curvature of surface of subject 101 and incident angles of the radiation beam and the optical illumination).
  • optical illumination properties e.g., intensity, beam profile, and spectral composition
  • radiation beam properties e.g., beam energy and beam type
  • geometries e.g., curvature of surface of subject 101 and incident angles of the radiation beam and the optical illumination.
  • the modification parameters for a specific case encountered in real radiation therapy are determined by interpolations within existing modification parameters in the database.
  • method 2100 outputs the corrected
  • correction module 1850 outputs corrected Cherenkov image 1852.
  • method 2100 includes a step 2150 of mapping the corrected Cherenkov image onto a 3D surface model of surface region 1890.
  • surface model processor 1860 maps corrected Cherenkov image 1852 onto a 3D surface model of surface region 1890 to form a 3D surface radiation dose map.
  • such embodiments of method 2100 further include outputting, in step 2160, the corrected Cherenkov image in the form of the 3D surface radiation dose map.
  • These surface model based embodiments of method 2100 may further include a step 2130 of generating the 3D surface model.
  • step 2130 includes a step 2132 of capturing a stereo image, which is then processed to generate the 3D model.
  • step 2130 includes a step 2134 of capturing at least one structured-light reflectance image, which is then processed to generate the 3D model.
  • stereo camera 1840 captures stereo image 1848
  • surface model processor 1860 processes stereo image 1848 to produce the 3D surface model.
  • camera 1834 captures at least one structured- light reflectance image 1838
  • surface model processor 1860 processes the at least one structured-light reflectance image 1838 to produce the 3D surface model.
  • step 2140 may be a standalone method, for example suitable for implementation as machine-readable instructions, on non-transitory media, wherein these machine-readable instructions may be executed by a processor to perform step 2140.
  • FIG. 22 illustrates one exemplary Cherenkov imaging system 2200 for determining radiation dose for a surface region 1890 of subject 102 undergoing radiation therapy.
  • Cherenkov imaging system 2200 is similar to Cherenkov imaging system 1800 except that Cherenkov imaging system 2200 includes two separate cameras 2210 and 2234 that capture Cherenkov image 1812 and reflectance image 1836, respectively. Since Cherenkov imaging system 2200 uses two different cameras, Cherenkov image 1812 and reflectance image 1836 are not spatially co-registered. Therefore, correction module 1850 includes surface model processor 1860.
  • Surface model processor 1860 maps each of Cherenkov image 1812 and reflectance image 1836 onto a 3D surface model of surface region 1890 to generate respective 3D surface maps of Cherenkov image 1812 and reflectance image 1836.
  • Correction module 1850 then corrects the 3D surface map of Cherenkov image 1812 based upon the 3D surface map of reflectance image 1836 to produce a 3D surface radiation dose map 2252.
  • Camera 2234 is implemented with light source 1832 in a camera system 2230. Each of cameras 2210 and 2234 are electronic cameras and may be similar to camera 1834. In addition, controller 1870 (if included) may trigger operation of each of cameras 2210 and 2234. As discussed in reference to FIGS. 18-20, optical illumination 1835 may be monochromatic, multi-colored, or broadband, and light source 1821 may emit optical illumination 1835 as diffuse light or as polarized light. Accordingly, camera 2234 may be equipped with a polarizer that deselects the polarization of polarized optical illumination 1835 to generate images emphasizing scattered light over specular reflected light.
  • FIG. 23 illustrates one exemplary Cherenkov imaging method 2300 for determining radiation dose for surface region 1890 of subject 102 undergoing radiation therapy.
  • Method 2300 is performed, for example, by Cherenkov imaging system 2200.
  • method 2300 captures a Cherenkov image of
  • Step 2310 may include a step 2312 of irradiating surface region 1890 with a radiation beam that induces the Cherenkov radiation.
  • charged particle or gamma radiation beam source 108 irradiates surface region 1890 with radiation beam 160.
  • step 2320 method 2300 captures a reflectance image of optical illumination reflected by surface region 1890.
  • camera 2234 captures reflectance image 1836.
  • Step 2320 may include a step 2322 of illuminating surface region 1890 with the optical illumination that produces the reflected light imaged in the reflectance image.
  • light source 1832 illuminates surface region 1890 with optical illumination 1835, such as discussed in reference to FIG. 19 or in reference to FIG. 20.
  • ambient light illuminates surface region 1890 with optical illumination 1835.
  • step 2320 may use diffuse or polarized optical illumination.
  • step 2330 method 2300 generates a 3D surface model.
  • step 2330 includes a step 2332 of capturing a stereo image, which is then processed to generate the 3D model.
  • step 2330 includes a step 2334 of capturing at least one structured-light reflectance image, which is then processed to generate the 3D model.
  • stereo camera 1840 captures stereo image 1848
  • surface model processor 1860 processes stereo image 1848 to produce the 3D surface model.
  • camera 2234 captures at least one structured-light reflectance image 1838
  • surface model processor 1860 processes the at least one structured-light reflectance image 1838 to produce the 3D surface model.
  • step 2340 the Cherenkov image captured in step 2310 is corrected, based upon the reflectance image captured in step 2320, to form a corrected Cherenkov image that indicates the radiation dose for surface region 1890, at least with improved accuracy over the Cherenkov image captured in step 2310.
  • Step 2340 forms the corrected Cherenkov image in the form of a 3D surface radiation dose map.
  • step 2340 includes a step 2342 of reducing an artifact in the Cherenkov image captured in step 2310, wherein the artifact is caused by a tissue- specific light- transmission property, as discussed above in reference to FIG. 18.
  • Step 2340 includes a step 2344 of (a) mapping the Cherenkov image captured in step 2310 onto the 3D surface model generated in step 2330 to produce a 3D surface map of the Cherenkov radiation, and (b) mapping the Cherenkov image captured in step 2310 onto the 3D surface model generated in step 2330 to produce a 3D surface map of the optical illumination reflected by surface region 1890.
  • surface model processor 1860 maps each of Cherenkov image 1812 and reflectance image 1836 onto the 3D surface model generated in step 2330.
  • Step 2340 further includes a step 2346 of correcting the 3D surface map of the Cherenkov radiation, based upon the 3D surface map of the optical illumination reflected by surface region 1890, to form the 3D surface radiation dose map.
  • correction module 1850 corrects the 3D surface map of the Cherenkov radiation, based upon the 3D surface map of the optical illumination reflected by surface region 1890, to form 3D surface radiation dose map 2252.
  • Step 2345 may include, or consist of, normalizing the 3D surface map of the Cherenkov radiation to the 3D surface map of the optical illumination reflected by surface region 1890.
  • step 2340 may use a model, such as a Monte Carlo simulation model, that describes transport of both Cherenkov radiation (and optionally radiation beam 160) and optical illumination within surface region 1890, so as to account for differences in propagation through and sampling of surface region 1890 by the Cherenkov radiation and optical illumination, as discussed in reference to step 2140.
  • a model such as a Monte Carlo simulation model, that describes transport of both Cherenkov radiation (and optionally radiation beam 160) and optical illumination within surface region 1890, so as to account for differences in propagation through and sampling of surface region 1890 by the Cherenkov radiation and optical illumination, as discussed in reference to step 2140.
  • method 2300 outputs the 3D surface radiation dose map generated in step 2340.
  • correction module 1850 outputs 3D surface radiation dose map 2252.
  • step 2340 may be a standalone method, for example suitable for implementation as machine-readable instructions, on non-transitory media, wherein these machine-readable instructions may be executed by a processor to perform step 2340.
  • the correction module makes use of a voxel-based light propagation model having scattering parameters and absorbance parameters at each voxel of the model.
  • the optical parameters extracted by using the optical illumination include the scattering parameter and an absorbance parameter at each voxel of the model.
  • the model may have multiple absorbance parameters at each voxel with each absorbance parameter modeling light absorbance at a particular wavelength of the multiple wavelengths.
  • the voxel-based light-propagation model is adjusted to conform to the three-dimensional model by assuming primary absorbance and scattering occurs within the subject.
  • the correction module operates by adding a Cherenkov emissions parameter to each voxel of the light propagation model, applying the scattering and absorbance parameters as determined under optical illumination at each voxel of the mode to modeled Cherenkov light, and fitting the Cherenkov emissions parameters to provide a best-fit to observed intensities at pixels of the Cherenkov images.
  • Each of system 1800, method 2100, system 2200, and method 2300 may be extended to correction of fluorescence images of fluorescence induced by Cherenkov radiation, such as PpIX images discussed above.
  • Cherenkov image 1812 may be replaced by a fluorescence image of Cherenkov-radiation-induced fluorescence, without departing from the scope hereof.
  • a system designated A for providing and monitoring delivery and accuracy of radiation therapy includes a source of pulsed high energy radiation disposed to provide a radiation beam to a treatment zone, the high energy radiation of at least 0.2 MeV or greater; at least one camera configured to obtain images of Cherenkov light from the treatment zone; and apparatus for adapted to prevent interference by room lighting with the images of Cherenkov light by synchronizing the camera to pulses of the radiation beam, and blanking room lighting during pulses of the radiation beam.
  • the system also has an image processor adapted with machine readable code in a memory to determine an accuracy of actual delivered dose relative to a planned treatment from the images of Cherenkov light.
  • a system designated AA including the system designated A where the image processor is adapted with machine readable code to estimate cumulative skin dose in the treatment zone from the images of Cherenkov light.
  • a system designated AB including the system designated A or AA, where the image processor is adapted with machine readable code to resolve patient position relative to the treatment beam from by using vascular and skin structures which appearing in the emitted Cherenkov images as biological alignment features.
  • a system designated AC including the system designated A, AA, or
  • a radiation beam extent is determined from the Cherenkov images, and in a system the determined radiation beam extent is used for estimation of accuracy of delivery of the radiation.
  • a system designated AD including the system designated A, AA, AB, or AC further comprising a positioning device configured to hold the camera in the same angle and position in a first fractionated radiation treatment session and a second fractionated radiation treatment session.
  • a system designated AE including the system designated A, AA, AB,
  • the memory is configured with machine readable instructions for using a three-dimensional model of a subject to determine a mapping of image intensity in the images of Cherenkov light to the radiation dose deposited in skin of the subject.
  • a system designated AF including the system designated A, AA, AB, AC, AD, or AE wherein the image processor is configured to acquire multiple images of Cherenkov light during a treatment session.
  • a system designated AG including the system designated A, AA, AB, AC, AD, AE, or AF, wherein the image processor is configured with machine readable instructions to compare a skin dose determined from pre-treatment simulations to a skin dose determined from imaged Cherenkov light and to interrupt the delivery of radiation if the imaged Cherenkov signal disagrees with the pre-treatment simulations by more than a limit.
  • a system designated AH including the system designated A, AA, AB, AC, AD, AE, AF, or AG configured with machine readable code to apply the mapping of image intensity from the multiple images of Cherenkov light to determine maps of skin dose, and to determine if changes in position have occurred and to warn an operator if the treatment beam design is providing excessive skin dose or excessive changes in position have occurred.
  • a system designated AK including the system designated A, AA, AB, AC, AD, AE, AG, or AH wherein the processor is configured with machine readable instructions to indicate on a display when the Cherenkov images show significant differences in the daily images.
  • a system designated AL including the system designated A, AA, AB, AC, AD, AE, AG, AH, or AK wherein the image processor is configured to sum dosage maps from a first treatment session and a second treatment session to provide a map of total multisession dose.
  • a method designated B of determining surface dose during radiation treatment of a first object beneath a surface of a second object to limit dose at the surface includes obtaining stereo images of the surface, and extracting a three-dimensional computer model of the surface; determining a mapping of image brightness at the surface in Cherenkov light images obtained by a digital camera to radiation intensity; recording surface brightness at the surface in a plurality of Cherenkov light images; and summing step including using the mapping of image brightness at the surface to translate each Cherenkov light image into a surface dose image, or summing the surface dose images to provide a total session surface dose image; and summing the image brightness in each Cherenkov light image into a total session surface Cherenkov light image and using the mapping of image brightness at the surface to translate the total session surface
  • a method designated BA including the method designated B and further including summing the total session surface dose image with at least one prior session surface dose image to provide a total treatment surface dose image; and displaying the total treatment surface dose image.
  • a method designated BB including the method designated B or BA and further including blanking room lighting during acquisition of the Cherenkov light images.
  • a method designated BC including the method designated B, BA, or BB wherein the second object is a subject and the first object is a tumor.
  • a method designated BD including the method designated B, BA, BB, or BC and further comprising using an image selected from the group consisting of the total session surface dose image and the total treatment surface dose image to modify a radiation treatment plan for at least one radiation treatment session.
  • a system designated C for providing and monitoring delivery and accuracy of radiation therapy includes a source of pulsed high energy radiation disposed to provide a radiation beam to a treatment zone, with high energy radiation of at least 0.2 MeV; at least one imaging system configured to obtain observations of light emitted from the treatment zone, the imaging system selected from the group consisting of cameras disposed to image the treatment zone, and photodetectors coupled through optical fibers to gather and detect light from the treatment zone; apparatus adapted to minimize interference by room lighting with the observations; and apparatus adapted to record the observations; wherein the imaging system is synchronized to pulses of the pulsed high energy radiation.
  • a system designated CA including the system designated C wherein the imaging system comprises at least one camera, and the observations of light are images, and the system further comprises an image processor.
  • a system designated CB including the system designated CA or C wherein the apparatus adapted to prevent interference by room lighting with the imaging system comprises apparatus adapted to synchronize pulsed room lighting to allow image capture without ambient lighting.
  • a system designated CC including the system designated C, or CA, wherein the apparatus adapted to prevent interference by room lighting operates through the image processor being adapted with machine readable instructions configured to obtain a first image of the treatment zone during a pulse of the high energy radiation source, and a second image of the treatment zone at a time other than during a pulse of the high energy radiation source; and with machine readable instructions configured to subtract the second image from the first image to provide an image of Cherenkov emissions from the treatment zone.
  • a system designated CCA including the system designated C, or CA, wherein the apparatus adapted to prevent interference by room lighting operates through a method comprising providing narrowband room lighting at a first wavelength, and wherein images of Cherenkov light exclude light at the first wavelength.
  • a system designated CD including the system designated CA, CB, , CCA or CC wherein the image processor is adapted with machine readable code to estimate a beam shape from the images of Cherenkov light.
  • a system designated CE including the system designated CD wherein the image processor is adapted with machine readable code to estimate a radiation dose map of the high energy radiation beam on a subject's skin from the images.
  • a system designated CF including the system designated CA, CB, CC, CCA, CD or CE , where the image processor is further adapted with machine readable code to resolve patient position relative to the treatment beam by using vascular and skin structures appearing in the emitted Cherenkov images as biological alignment features.
  • a system designated CG including the system designated CA, CB, CC, CCA, CD, CE, or CF where the image processor is further adapted with machine readable code to compare intensity patterns from the images with images from at least one prior treatment session to determine if changes have occurred between sessions.
  • a system designated CH including the system designated CA, CB, CC, CCA, CD, CE, CF, or CG 10 wherein the image processor is adapted with machine readable code to estimate a radiation dose map of the high energy radiation beam on a subject's skin from the images for a treatment session.
  • a system designated CI including the system designated CA, CB, CC, CCA, CD, CE, CF, or CG wherein the image processor is adapted with machine readable code to estimate cumulative skin dose across a plurality of a treatment sessions in the treatment zone.
  • a system designated CK including the system designated CA, CB, CC, CCA, CD, CE, CF, CG, CH, or CI wherein the image processor is configured with machine readable code adapted to using a three-dimensional model of a subject to determine a mapping of image intensity in the images of Cherenkov light to the radiation dose deposited in skin of the subject.
  • a system designated CL including the system designated CA, CB, CC, CCA, CD, CE, CF, CG, CH, CI, or CK further comprising a positioning device configured to hold the camera in a same location, angle and position in a first fractionated radiation treatment session and all subsequent fractionated radiation treatment session.
  • a system designated CM including the system designated CA, CB, CC, CCA, CD, CE, CF, CG, CH, CI, CK, or CL wherein the image processor is configured to acquire multiple images of Cherenkov light during a treatment session.
  • a system designated CN including the system designated CM, wherein the image data is used to verify delivery as planned by comparison to the prescribed radiation dose.
  • a system designated CO including the system designated CA, CB, CC, CCA, CD, CE, CF, CG, CH, CI, CK, CL, or CN wherein the image processor is configured with machine readable instructions to compare a skin dose determined from pre-treatment simulations to a skin dose determined from imaged Cherenkov light and to interrupt the delivery of radiation if the imaged Cherenkov signal disagrees with the pre- treatment simulations by more than a limit.
  • a system designated CP including the system designated C, CA, CB, CC, CCA, CD, CE, CF, CG, CH, CI, CK, CL, CN, or CO wherein the imaging system is spectrally selective such that the imaging system is adapted to capture Cherenkov- stimulated light emissions from tissue and to distinguish this light from Cherenkov light.
  • a method designated D of determining surface dose during radiation treatment of a first object beneath a surface of a second object to limit dose at the surface includes obtaining at least two images of the surface, and extracting a three-dimensional computer model of the surface therefrom; determining a mapping of image brightness at the surface in Cherenkov light images obtained by a digital camera to radiation intensity; recording surface brightness at the surface in a plurality of Cherenkov light images; and a summing step of either using the mapping of image brightness at the surface to translate each Cherenkov light image into a surface dose image and summing the surface dose images to provide a total session surface dose image, or summing the image brightness in each Cherenkov light image into a total session surface Cherenkov light image and using the mapping of image brightness at the surface to translate the total session surface Cherenkov light image into a total session surface dose image; and displaying the total session surface dose image.
  • a method designated E of determining surface dose during radiation treatment from imaging of a fractionated radiation therapy includes obtaining multiple images of a surface, and extracting a three-dimensional computer model of the surface therefrom; synchronizing imaging to beam pulses, and obtaining Cherenkov light images; determining a mapping of image brightness at the surface in Cherenkov light images obtained by a digital camera to radiation intensity; recording surface brightness at the surface in a plurality of Cherenkov light images; a summing step selected from the group of using the mapping of image brightness at the surface to translate each Cherenkov light image into a surface dose image and summing the surface dose images, or summing the image brightness in each Cherenkov light image into a total session surface Cherenkov light image, and using the mapping of image brightness at the surface to translate the total session surface Cherenkov light image into a total session surface dose image; and displaying the total session surface dose image.
  • a method designated EA including the method designated D or E and further including blanking room lighting during acquisition of the Cherenkov light images.
  • a method designated EB including the method designated D or E further including correcting Cherenkov light images for ambient light by subtracting an ambient light image from an image obtained during a pulse of the beam.
  • a method designated EC including the method designated D, E, EA, or EB and further including summing the total session surface dose image with at least one prior session surface dose image to provide a total treatment surface dose image; and displaying the total treatment surface dose image.
  • a method designated ED including the method designated D, E, EA, EB, or EC wherein the surface is normal tissue and a deeper region is a tumor.
  • a method designated EE including the method designated D, E, EA, EB, EC, or ED wherein the radiation treatment is a fractionated radiation treatment and further comprising using an image selected from the group consisting of the total session surface dose image and the total treatment surface dose image to modify a radiation treatment plan for at least one radiation treatment session.
  • a Cherenkov imaging system designated F for determining surface radiation dose for a subject undergoing radiation therapy comprising: a camera system comprising at least one digital camera, the camera system adapted to capture a Cherenkov image of Cherenkov radiation from a surface region of the subject undergoing
  • Cherenkov-radiation-inducing radiation therapy and to capture a reflectance image of reflectance of optical illumination off the surface region; a light source adapted to generate the optical illumination, and a correction module for correcting the Cherenkov image based upon the reflectance image to form a corrected Cherenkov image that indicates radiation dose for the surface region.
  • a Cherenkov imaging system designated FA including the Cherenkov imaging system designated F, further comprising a controller for controlling (a) timing of image capture by the first camera to capture the Cherenkov image to minimize room light interference and (b) timing of image capture by the second camera to capture the reflectance image when the surface region is exposed to the optical illumination.
  • a Cherenkov imaging system designated FB including the Cherenkov imaging system designated F or FA, the light source being configured to generate the optical illumination as diffuse optical illumination.
  • a Cherenkov imaging system designated FC including the Cherenkov imaging system designated F, FA, or FB, the light source being configured to generate the optical illumination as polarized optical illumination, the camera system including a filter for deselecting a polarization component of the polarized optical illumination to ensure that substantially all photons contributing to the reflectance image have been diffusely scattered by the surface region.
  • a Cherenkov imaging system designated FC including the Cherenkov imaging system designated F, FA, or FB, the optical illumination having wavelength such that penetration depth of the optical illumination into the subject substantially matches maximum depth of the Cherenkov radiation imaged by the first imaging module.
  • a Cherenkov imaging system designated FD including the Cherenkov imaging system designated F, FA, FB, or FC, the optical illumination having wavelength such that the penetration depth is between two and six millimeters.
  • a Cherenkov imaging system designated FE including the Cherenkov imaging system designated F, FA, FC, or FD, the light source being a multi-colored light source for generating the optical illumination at a plurality of different wavelengths to sample a respectively plurality of different depths of the subject so as to match depth- sampling properties of the Cherenkov radiation.
  • a Cherenkov imaging system designated FF including the Cherenkov imaging system designated FE, the reflectance image being a composite image based upon a plurality of wavelength- specific reflectance images, the Cherenkov imaging system further comprising: a controller for controlling the second camera to capture a plurality of wavelength- specific reflectance images using the plurality of different wavelengths, respectively.
  • a Cherenkov imaging system designated FG including the Cherenkov imaging system designated F, wherein the camera system is adapted to use a single camera for capturing the Cherenkov image and the reflectance image.
  • a Cherenkov imaging system designated FH including the Cherenkov imaging system designated F, FA, FC, or FD, the correction module being configured to generate the corrected Cherenkov image by normalizing the Cherenkov image to the reflectance image.
  • a Cherenkov imaging system designated FJ including the Cherenkov imaging system designated F, FA, FC, FD, or FE wherein the camera system is further adapted to capture a stereo image of the surface region under optical illumination, and further comprising a surface model processor adapted to (a) process the stereo image to produce a three-dimensional surface model of the surface region and (b) map the corrected Cherenkov image onto the three-dimensional surface model to generate a three- dimensional surface radiation dose map.
  • a Cherenkov imaging system designated FK including the Cherenkov imaging system designated F, FA, FC, FD, FE, or FH further comprising: a light- structure encoder for encoding structure onto the optical illumination to produce structured light to be used by the camera system to capture at least one structured-light reflectance image; and a surface model processor adapted to (a) process the at least one structured-light reflectance image to produce a three-dimensional surface model of the surface region and (b) map the corrected Cherenkov image onto the three-dimensional surface model to generate a three-dimensional surface radiation dose map.
  • a Cherenkov imaging system designated FL including the Cherenkov imaging system designated F, FA, FC, FD, FE, or FH, the correction module being configured to generate the corrected Cherenkov image in form of a three-dimensional surface radiation dose map by correcting a three-dimensional surface map of the
  • Cherenkov radiation based upon a three-dimensional surface map of the reflectance of the optical illumination; the camera system being further configured to capture a stereo image of the surface region; and further comprising: a surface model processor for (a) processing the stereo image to produce a three-dimensional surface model of the surface region, (b) mapping the Cherenkov image onto the three-dimensional surface model to generate the three-dimensional surface map of the Cherenkov radiation, and (c) mapping the reflectance image onto the three-dimensional surface model to generate the three- dimensional surface map of the reflectance of the optical illumination.
  • a surface model processor for (a) processing the stereo image to produce a three-dimensional surface model of the surface region, (b) mapping the Cherenkov image onto the three-dimensional surface model to generate the three-dimensional surface map of the Cherenkov radiation, and (c) mapping the reflectance image onto the three-dimensional surface model to generate the three- dimensional surface map of the reflectance of the optical illumination.
  • a Cherenkov imaging system designated FM including the Cherenkov imaging system designated F, FA, FB, FC, FD, FE, or FH, the correction module being configured to further take into account discrepancies between light transport properties of the Cherenkov radiation and the optical illumination within the subject when correcting the Cherenkov image.
  • a Cherenkov imaging system designated FN including the Cherenkov imaging system designated F, FA, FB, FC, FD, FE, FG, FH, FJ, FK, FL, or FM, wherein, the correction module is configured to use a voxel-based light propagation model having scattering parameters and absorbance parameters at each voxel of the model; the optical parameters extracted by using the optical illumination including the scattering parameter and an absorbance parameter at each voxel of the model.
  • a Cherenkov imaging system designated FO including versions of the Cherenkov imaging system designated FN where the optical illumination is performed at multiple wavelengths, the voxel-based light propagation model having multiple absorbance parameters at each voxel with each absorbance parameter modeling light absorbance at a particular wavelength of the multiple wavelengths.
  • a Cherenkov imaging system designated FP including versions of the Cherenkov imaging system designated FN or FO wherein the correction module operates by adding a Cherenkov emissions parameter to each voxel of the light propagation model, applying the scattering and absorbance parameters as determined under optical illumination at each voxel of the mode to modeled Cherenkov light, and fitting the Cherenkov emissions parameters to provide a best-fit to observed intensities at pixels of the Cherenkov images.
  • a Cherenkov imaging method designated G for determining surface radiation dose for a subject undergoing radiation therapy comprising: correcting a Cherenkov image, the Cherenkov image being an image of Cherenkov radiation emitted from a surface region of the subject undergoing Cherenkov-radiation-inducing radiation therapy, the correcting comprising using a reflectance image, the reflectance image being an image of optical illumination reflected by the surface region, to form a corrected Cherenkov image that indicates radiation dose for the surface region.
  • a Cherenkov imaging method designated GA including the Cherenkov imaging method designated G, the step of correcting comprising reducing artifact in the Cherenkov image caused by tissue-specific light transmission properties.
  • a Cherenkov imaging method designated GB including the Cherenkov imaging method designated G or GA, further comprising: capturing the Cherenkov image; illuminating the surface region with the optical illumination; and capturing the reflectance image.
  • a Cherenkov imaging method designated GC including the Cherenkov imaging method designated G, GA, or GB, in the step of illuminating, the optical illumination being diffuse.
  • a Cherenkov imaging method designated GD including the Cherenkov imaging method designated G, GA, GB, or GC wherein: in the step of illuminating, illuminating the surface region is done with polarized illumination; and in the step of capturing the reflectance image, a polarization component of the polarized illumination is deselected in the camera system to ensure that substantially all photons contributing to the reflectance image have been diffusely scattered by the surface region.
  • a Cherenkov imaging method designated GE including the Cherenkov imaging method designated G, GA, GB, GC, or GD further comprising irradiating the surface region with a beam that induces the Cherenkov radiation.
  • a Cherenkov imaging method designated GF including the Cherenkov imaging method designated G, GA, GB, GC, GD, or GE comprising: in the step of capturing the reflectance image, capturing the reflectance image using same camera as used to capture the Cherenkov image in the step of capturing the Cherenkov image, such that the reflectance image and the Cherenkov image are spatially co-registered; and in the step of correcting, normalizing the Cherenkov image to the reflectance image.
  • a Cherenkov imaging method designated GG including the Cherenkov imaging method designated G, GA, GB, GC, GD, GE, or GF further comprising:
  • generating a three-dimensional surface model of the surface region and in the step of correcting:(a) mapping the Cherenkov image onto the three-dimensional surface model to produce a three-dimensional surface map of the Cherenkov radiation, (b) mapping the reflectance image onto the three-dimensional surface model to produce a three- dimensional surface map of the reflectance, and (c) generating the corrected Cherenkov image in form of a three-dimensional surface radiation dose map by correcting the three- dimensional surface map of the Cherenkov radiation based upon the three-dimensional surface map of the reflectance of the optical illumination.
  • a Cherenkov imaging method designated GH including the Cherenkov imaging method designated G, GA, GB, GC, GD, GE, GF, or GG, the step of generating comprising: capturing a stereo image of the surface region; and processing the stereo image to determine the three-dimensional surface model.
  • a Cherenkov imaging method designated GJ including the Cherenkov imaging method designated G, GA, GB, GC, GD, GE, GF, GG, or GH the step of generating comprising: capturing a second reflectance image of structured light incident upon the surface region; and processing the second reflectance image to determine the three-dimensional surface model.
  • a Cherenkov imaging method designated GK including the Cherenkov imaging method designated G, GA, GB, GC, GD, GE, GF, GG, GH or GK further comprising generating the reflectance light image by: (a) illuminating the surface region with the optical illumination, and (b) capturing the reflectance image using a camera; and the step of capturing the second reflectance image comprising: (a) encoding structure onto the optical illumination to produce the structured light, and (b) capturing the second reflectance image using the camera.
  • a Cherenkov imaging method designated GL including the Cherenkov imaging method designated G, GA, GB, GC, GD, GE, GF, GG, GH or GK, in the step of illuminating, the optical illumination having wavelength such that penetration depth of the optical illumination into the subject substantially matches a maximum depth of the Cherenkov radiation of the Cherenkov image.
  • the Cherenkov imaging method designated GL, wherein, in the step of illuminating, the optical illumination having wavelength such that the penetration depth is between two and six millimeters.
  • a Cherenkov imaging method designated GM including the
  • Cherenkov imaging method designated G, GA, GB, GC, GD, GE, GF, GG, GH, GK, GH, or GL, wherein in the step of illuminating, the optical illumination including a plurality of different wavelengths such that the optical illumination samples a respectively plurality of different depths of the subject to match depth-sampling properties of the Cherenkov radiation.
  • the Cherenkov imaging method designated GM comprising: in the step of illuminating, illuminating the surface region with optical illumination of a plurality of wavelengths; and in the step of capturing the reflectance image: (a) capturing a respective plurality of wavelength-specific reflectance images, and (b) composing the reflectance image from the plurality of wavelength-specific reflectance images.

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Physics & Mathematics (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Radiation-Therapy Devices (AREA)

Abstract

La présente invention concerne un système d'imagerie de Cerenkov destiné à déterminer une dose de rayonnement de surface pour un sujet subissant une thérapie par rayonnement. Le système comprend : (a) une première caméra pour capturer une image de Cerenkov d'un rayonnement de Cerenkov à partir d'une région de surface du sujet subissant une thérapie par rayonnement induisant un rayonnement de Cerenkov, (b) une seconde caméra pour capturer une image de réflectance de la réflectance d'un éclairage optique réfléchi par la région de surface et (c) un module de correction pour corriger l'image de Cerenkov sur la base de l'image de réflectance pour former une image de Cerenkov corrigée qui indique une dose de rayonnement pour la région de surface. Un procédé d'imagerie de Cerenkov pour déterminer une dose de rayonnement de surface pour un sujet subissant une thérapie par rayonnement consiste à corriger une image de Cerenkov d'un rayonnement de Cerenkov à partir d'une région de surface du sujet subissant une thérapie par rayonnement induisant un rayonnement de Cerenkov à l'aide d'une image de réflectance de la lumière visible réfléchie par la région de surface, pour former une image de Cerenkov corrigée qui indique la dose de rayonnement pour la région de surface.
PCT/US2016/029458 2011-05-19 2016-04-27 Procédés et systèmes d'imagerie de cerenkov de détermination de dose de rayonnement WO2016176265A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
AU2016253948A AU2016253948A1 (en) 2015-04-27 2016-04-27 Cherenkov imaging systems and methods for determining radiation dose
CA3022122A CA3022122A1 (fr) 2015-04-27 2016-04-27 Procedes et systemes d'imagerie de cerenkov de determination de dose de rayonnement
EP16787023.7A EP3288634A4 (fr) 2015-04-27 2016-04-27 Procédés et systèmes d'imagerie de cerenkov de détermination de dose de rayonnement
US15/160,576 US10940332B2 (en) 2011-05-19 2016-05-20 Cherenkov imaging systems and methods to monitor beam profiles and radiation dose while avoiding interference from room lighting

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562153417P 2015-04-27 2015-04-27
US62/153,417 2015-04-27

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2014/066668 Continuation-In-Part WO2015077480A1 (fr) 2011-05-19 2014-11-20 Procédé et système d'utilisation du rayonnement cerenkov pour surveiller profils de faisceaux et radiothérapies

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US15/160,576 Continuation-In-Part US10940332B2 (en) 2011-05-19 2016-05-20 Cherenkov imaging systems and methods to monitor beam profiles and radiation dose while avoiding interference from room lighting

Publications (1)

Publication Number Publication Date
WO2016176265A1 true WO2016176265A1 (fr) 2016-11-03

Family

ID=57199720

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2016/029458 WO2016176265A1 (fr) 2011-05-19 2016-04-27 Procédés et systèmes d'imagerie de cerenkov de détermination de dose de rayonnement

Country Status (4)

Country Link
EP (1) EP3288634A4 (fr)
AU (1) AU2016253948A1 (fr)
CA (1) CA3022122A1 (fr)
WO (1) WO2016176265A1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018208775A1 (fr) * 2017-05-08 2018-11-15 The Regents Of The University Of Michigan Sondes optiques multispectrales à base de réseau de photomultiplicateurs de silicium pour radiothérapie guidée par image
DE102020200400B4 (de) 2019-02-14 2021-10-28 Siemens Healthcare Gmbh Kontrolliertes Bestrahlen eines Objekts
CN114887238A (zh) * 2022-04-15 2022-08-12 南京航空航天大学 一种应用切伦科夫光的外照射放射治疗在线监测方法与装置
CN114984462A (zh) * 2022-04-15 2022-09-02 南京航空航天大学 一种基于多通道成像的切伦科夫光剂量监测方法与装置
WO2024061511A1 (fr) * 2022-09-20 2024-03-28 Lap Gmbh Laser Applikationen Dispositif de détection de rayonnement à haute énergie

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100145416A1 (en) * 2008-12-10 2010-06-10 Uk Kang Apparatus for photodynamic therapy and photodetection
US20100254586A1 (en) * 2009-04-02 2010-10-07 Carl Zeiss Surgical Gmbh Method and device for locating function-supporting tissue areas in a tissue region
US20130044185A1 (en) * 2011-08-15 2013-02-21 Venkataramanan Krishnaswamy Operative Microscope Having Diffuse Optical Imaging System With Tomographic Image Reconstruction And Superposition In Field Of View
US20130102879A1 (en) * 2010-04-14 2013-04-25 Universitaetsklinikum Freiburg Method For Correcting Susceptibility-Induced Image Artifacts In MRI After Prospective Motion Correction
WO2014020360A1 (fr) * 2012-08-03 2014-02-06 Lightpoint Medical Ltd Chambre d'échantillon pour imagerie optique de produits radiopharmaceutiques
US20140064554A1 (en) * 2011-11-14 2014-03-06 San Diego State University Research Foundation Image station matching, preprocessing, spatial registration and change detection with multi-temporal remotely-sensed imagery
US20140114150A1 (en) * 2011-05-19 2014-04-24 The Trustees Of Dartmouth College Method And System For Using Cherenkov Radiation To Monitor Beam Profiles And Radiation Therapy

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100145416A1 (en) * 2008-12-10 2010-06-10 Uk Kang Apparatus for photodynamic therapy and photodetection
US20100254586A1 (en) * 2009-04-02 2010-10-07 Carl Zeiss Surgical Gmbh Method and device for locating function-supporting tissue areas in a tissue region
US20130102879A1 (en) * 2010-04-14 2013-04-25 Universitaetsklinikum Freiburg Method For Correcting Susceptibility-Induced Image Artifacts In MRI After Prospective Motion Correction
US20140114150A1 (en) * 2011-05-19 2014-04-24 The Trustees Of Dartmouth College Method And System For Using Cherenkov Radiation To Monitor Beam Profiles And Radiation Therapy
US20130044185A1 (en) * 2011-08-15 2013-02-21 Venkataramanan Krishnaswamy Operative Microscope Having Diffuse Optical Imaging System With Tomographic Image Reconstruction And Superposition In Field Of View
US20140064554A1 (en) * 2011-11-14 2014-03-06 San Diego State University Research Foundation Image station matching, preprocessing, spatial registration and change detection with multi-temporal remotely-sensed imagery
WO2014020360A1 (fr) * 2012-08-03 2014-02-06 Lightpoint Medical Ltd Chambre d'échantillon pour imagerie optique de produits radiopharmaceutiques

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
FODOR ET AL.: "Aesthetic Applications of Intense Pulsed Light", 2011, XP009508243, Retrieved from the Internet <URL:https://www.google.coni/url?sa=t&rct=j&q=&esrc=s&source=web&cd=4&ved=0ahUKEwjTleaozcTNAhUJWx4KHehQB0cQFgg4MAM&url=http%3A%2F%2Fwww.springer.com%2Fcda%2Fcontent%2Fdocument%2Fcda_downloaddocument%2F9781849964555-c1.pdf%3FSGWID%3D0-0-45-1112755-p174021970&usg=AFQjCNG38Zr7xJ0-X6aFmXZR7CNvmHikQ> [retrieved on 20160625] *
JARVIS ET AL.: "Cherenkov Video Imaging Allows for the First Visualization of Radiation Therapy in Real Time", INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY, 27 January 2014 (2014-01-27), XP028851529, Retrieved from the Internet <URL:http://s3.amazonaws.com/academia.edu.documents/44444548/Cherenkov_Video_imaging_Allows_for_the_F20160405-19246-1jjyg4m.pdf?AWSAccessKeyld=AKIAJ56TQJRTWSMTNPEA&Expires=1466710212&Signature=3B9lk0KzTldvNKx4V024%2BLvXEw8%3D&response-content-disposition=inline%3B%20filename%3DCherenkov_Video_imaging> [retrieved on 20160624] *
See also references of EP3288634A4 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018208775A1 (fr) * 2017-05-08 2018-11-15 The Regents Of The University Of Michigan Sondes optiques multispectrales à base de réseau de photomultiplicateurs de silicium pour radiothérapie guidée par image
US11141086B2 (en) 2017-05-08 2021-10-12 The Regents Of The University Of Michigan Silicon photomultiplier array-based multispectral optical probes for image-guided radiotherapy
DE102020200400B4 (de) 2019-02-14 2021-10-28 Siemens Healthcare Gmbh Kontrolliertes Bestrahlen eines Objekts
US11219783B2 (en) 2019-02-14 2022-01-11 Siemens Healthcare Gmbh Controlled irradiation of an object
CN114887238A (zh) * 2022-04-15 2022-08-12 南京航空航天大学 一种应用切伦科夫光的外照射放射治疗在线监测方法与装置
CN114984462A (zh) * 2022-04-15 2022-09-02 南京航空航天大学 一种基于多通道成像的切伦科夫光剂量监测方法与装置
CN114984462B (zh) * 2022-04-15 2024-03-26 南京航空航天大学 一种基于多通道成像的切伦科夫光剂量监测方法与装置
WO2024061511A1 (fr) * 2022-09-20 2024-03-28 Lap Gmbh Laser Applikationen Dispositif de détection de rayonnement à haute énergie

Also Published As

Publication number Publication date
EP3288634A1 (fr) 2018-03-07
AU2016253948A1 (en) 2017-11-23
EP3288634A4 (fr) 2019-03-27
CA3022122A1 (fr) 2016-11-03

Similar Documents

Publication Publication Date Title
US10940332B2 (en) Cherenkov imaging systems and methods to monitor beam profiles and radiation dose while avoiding interference from room lighting
US10201718B2 (en) Method and system for using Cherenkov radiation to monitor beam profiles and radiation therapy
US11813482B2 (en) Advanced cherenkov-based imaging systems, tools, and methods of feedback control, temporal control sequence image capture, and quantification in high resolution dose images
CN107636492B (zh) 辐射剂量监测系统
US11000703B2 (en) Imaging system and methods of high resolution Cherenkov dose images utilizing radio-optical triggering
US9604077B2 (en) Visualizing radiation therapy beam in real-time in the context of patient&#39;s anatomy
WO2016176265A1 (fr) Procédés et systèmes d&#39;imagerie de cerenkov de détermination de dose de rayonnement
WO2015077480A1 (fr) Procédé et système d&#39;utilisation du rayonnement cerenkov pour surveiller profils de faisceaux et radiothérapies
Tendler et al. Experimentally observed Cherenkov light generation in the eye during radiation therapy
Pogue et al. Cherenkov imaging in the potential roles of radiotherapy QA and delivery
US11633627B2 (en) Dosimetry systems for radiation treatment using radiation-detector-triggered cameras to image Cherenkov emissions or thin-sheet scintillators
Hachadorian et al. Remote dose imaging from Cherenkov light using spatially resolved CT calibration in breast radiotherapy
US20230350086A1 (en) Imaging system and methods of high resolution cherenkov dose images
CN115737183B (zh) 一种放疗后颈动脉狭窄小鼠模型的构造设备
Chang et al. Development of a 3D optical scanner for evaluating patient-specific dose distributions
Di et al. Enhanced Cherenkov imaging for real‐time beam visualization by applying a novel carbon quantum dot sheeting in radiotherapy
CN113663233A (zh) 一种核医学内放疗辐射剂量检测及诊疗系统
Alexander Expanding Cherenkov Imaging Applications in Radiotherapy: Clinic-Wide in vivo Treatment Monitoring and MR-Linac Quality Assurance
Alexander et al. Comparison of surface dose during whole breast radiation therapy on Halcyon and TrueBeam using Cherenkov imaging
Andreozzi Improving the Utility Of Cherenkov Imaging in the Radiotherapy Clinic
Hachadorian Towards Absolute Dosimetry and Field Verification of Whole Breast Radiation Therapy Treatment Using Cherenkov Imaging
Byrd et al. Improving Cherenkov-to-dose linearity in tissue for quantitative surface dosimetry during whole breast radiation therapy
Zhang Cherenkov imaging and biochemical sensing in vivo during radiation therapy
Glaser et al. Cherenkov imaging applications in radiation therapy dosimetry
Robertson Volumetric scintillation dosimetry for scanned proton beams

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16787023

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2016253948

Country of ref document: AU

Date of ref document: 20160427

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 3022122

Country of ref document: CA