EP4590168A1 - Medizinische bildgebungsvorrichtung, medizinisches system und verfahren zur farbanpassung einer medizinischen bildgebungsvorrichtung - Google Patents
Medizinische bildgebungsvorrichtung, medizinisches system und verfahren zur farbanpassung einer medizinischen bildgebungsvorrichtungInfo
- Publication number
- EP4590168A1 EP4590168A1 EP23771885.3A EP23771885A EP4590168A1 EP 4590168 A1 EP4590168 A1 EP 4590168A1 EP 23771885 A EP23771885 A EP 23771885A EP 4590168 A1 EP4590168 A1 EP 4590168A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- calibration
- image
- imaging device
- color
- calibration object
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
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Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
- A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
- A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
- A61B1/000095—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope for image enhancement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00057—Operational features of endoscopes provided with means for testing or calibration
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/04—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
Definitions
- Medical imaging device medical system and method for color adjustment of a medical imaging device
- the invention relates to a medical imaging device, a medical system and a method for color adjustment of a medical imaging device.
- Imaging devices such as endoscopic or exoscopic devices that generate multispectral or hyperspectral images are known from the prior art.
- multispectral or hyperspectral images also have a spectral dimension.
- the spectral dimension includes several spectral bands (wavelength bands).
- Multispectral and hyperspectral images differ essentially in the number and width of their spectral bands.
- DE 20 2014 010 558 U1 describes a device for recording a hyperspectral image of an examination area of a body.
- An input lens for generating an image in an image plane and a slit-shaped aperture in the image plane for masking out a slit-shaped area of the image are arranged in the device.
- the light passing through the aperture is fanned out using a dispersive element and recorded using a camera sensor.
- a large number of spectra each with an assigned spatial coordinate, can be recorded by the camera sensor along the longitudinal direction of the slit-shaped aperture.
- the device described is further designed to record further spectra along the longitudinal direction of the slit-shaped aperture in a direction different from the longitudinal direction of the slit-shaped aperture.
- the method for generating multispectral or hyperspectral images on which this disclosure is based is also known as the so-called pushbroom method.
- the examination area or object is scanned point by point and a spectrum is obtained for each point.
- the staring process takes several images with the same spatial coordinates. Different spectral filters and/or lighting sources are used from image to image to resolve spectral information.
- a two-dimensional multicolor image is broken down into several spectral individual images using suitable optical elements such as optical slicers, lenses and prisms, which are recorded simultaneously on different detectors or detector areas. This is sometimes referred to as the snapshot approach.
- multispectral and hyperspectral imaging devices are particularly suitable as endoscopic imaging devices.
- multispectral and/or hyperspectral imaging is a fundamental field of application, for example for diagnostics and for assessing the success or quality of an intervention.
- this task is solved by a medical
- Imaging device with the features of claim 1 a medical one System with the features of claim 14, a calibration object for a medical imaging device with the features of claim 21 and a method for color adjustment of a medical imaging device with the features of claim 22. Further developments of the invention can be found in the dependent claims.
- a medical imaging device can comprise an imaging unit that is set up to carry out multispectral and/or hyperspectral image capture, wherein the imaging unit is set up to record at least one intraoperative calibration image of a calibration object that can be introduced intraoperatively into a cavity while the calibration object is introduced into the cavity .
- the medical imaging device can comprise a calibration unit which is set up to carry out a color adjustment for the image capture in accordance with the calibration image, which includes an adjustment of a color calibration, in particular a white balance calibration.
- the medical imaging device can be, for example, an endoscope device, an exoscope device and/or a microscope device.
- a medical system can include a calibration object that can be introduced into a cavity intraoperatively, as well as a medical imaging device according to the invention.
- the invention also relates to a calibration object for a medical imaging device according to the invention and/or for a medical system according to the invention.
- a method for color adjustment of an imaging device is proposed, which is set up to carry out multispectral and/or hyperspectral image capture.
- This can be a white light calibration procedure.
- the method may include a step of intraoperatively introducing a calibration object into a cavity.
- the method can include recording at least one intraoperative calibration image of the calibration object introduced intraoperatively into the cavity.
- the method may include performing a color adjustment for the image capture in accordance with the calibration image, the color adjustment comprising an adjustment of a color calibration. This can in particular include adjusting a white light calibration.
- the features according to the invention allow color matching of an imaging device to be carried out efficiently.
- Color adjustment can be performed during surgery and in an inserted state of an imaging device, eliminating the need to allocate time and resources to pre-calibrate prior to a procedure.
- a high degree of accuracy can also be achieved because any spectral shifts can be avoided by carrying out a color adjustment or a correction or adjustment of a color calibration directly in the environment in which imaging is to be carried out.
- parameters can be obtained from multispectral or hyperspectral images with high accuracy in a time-efficient manner.
- the medical imaging device may be part of and/or include a medical imaging device and/or imaging instrument.
- the imaging device can be set up to record tissue parameters, images of wounds, images of body parts, etc.
- the imaging device can be set up to image an operating field.
- the imaging unit can comprise at least one optic and at least one image capture sensor system coupled to the optics, which are set up to carry out image capture of an image area, in which spatially and spectrally resolved image data are generated, which include both spatial and spectral information.
- the imaging unit and in particular the optics and/or the image capture sensor system can be set up for multispectral and/or hyperspectral imaging, in particular to capture and/or generate multispectral and/or hyperspectral image data.
- Multispectral imaging or multispectral image data can refer in particular to such imaging in which at least two, in particular at least three, and in some cases at least five spectral bands can be and/or are detected independently of one another.
- Hyperspectral imaging or hyperspectral image data can refer in particular to such imaging in which at least 20, at least 50 or even at least 100 spectral bands can be detected and/or are detected independently of one another.
- the imaging device can work according to the pushbroom method and/or according to the whiskbroom method and/or according to the staring method and/or according to a snapshot principle.
- the includes a white light camera and/or sensors for white light image capture.
- the imaging device can be set up for white light imaging in addition to spectrally resolved imaging. Separate optics and/or common optics can be used for this.
- the white light imaging and the spectrally resolved imaging can be performed simultaneously or alternately or at times simultaneously and at times sequentially.
- the imaging device includes sensors for fluorescence imaging.
- the imaging device can be set up for fluorescence imaging in addition to spectrally resolved imaging and possibly in addition to white light imaging. Separate optics and/or common optics can be used for this.
- the fluorescence imaging, possibly the white light imaging and the spectrally resolved imaging can be carried out simultaneously or alternately or at times simultaneously and at times one after the other.
- Hyperspectral imaging is then recommended. This can be combined with white light imaging and/or fluorescence imaging. This makes observation in real time possible via a white light image and/or a fluorescence image, even if the acquisition of spectrally resolved image data only takes place essentially in real time, i.e., for example, several seconds are required to create a spectrally resolved image.
- spectral image data in real time or at least substantially in real time. This includes, for example, generating a spectrally resolved image in less than a second or even several times per second. It may be useful to use multispectral imaging here. A possibly lower spectral resolution is then offset by a higher refresh rate. Depending on the application, it may be sufficient to consider only a few different spectral ranges and/or wavelengths, for example two or three or four or generally less than ten. In this case, additional white light imaging can optionally be dispensed with become. Spectrally resolved image data, which is obtained in real time or delivers several images per second, can also be used for surveillance purposes, whereby an image that is to be reproduced does not necessarily have to be created for a user, but the image data can also be processed in the background.
- the calibration object can be set up to be imaged in a state introduced into the cavity, so that information can be determined based on an image of the calibration object in this state introduced into the cavity, based on which a color adjustment for the image capture can be carried out.
- the cavity can, for example, be a body cavity or be located in the body of a patient.
- the cavity can in particular be delimited by tissue and/or body parts.
- the calibration image is recorded in particular in a state in which the imaging unit is inserted into the cavity and/or is directed towards an interior of the cavity.
- the intraoperative calibration image on which the calibration object can be recognized is recorded in a state in which a shaft of the endoscope device is inserted into the cavity.
- the intraoperative calibration image can be referred to as an intracorporeal calibration image.
- the color adjustment can include an adjustment of at least one parameter of a color calibration, in particular a white balance calibration.
- the color adjustment can also include a complete color calibration.
- the color adjustment can serve to correct a color calibration that has been carried out beforehand.
- a color adjustment to be made can be easily determined in particular if the calibration object comprises at least one color area with predetermined spectral properties.
- the colored area can be colored homogeneously.
- the color area can be suitable for carrying out a white balance calibration.
- the colored area has an area of at least 1 mm 2 , at least 10 mm 2 , or even at least 1 cm 2 .
- the color area can, for example, be monochrome and/or white.
- white refers to the property of the color surface to scatter illuminating light in a spectral range at least substantially independent of wavelength, which includes at least visible light, for example a spectral range that is based on a wavelength of at least 300 nm, at least 350 nm or at least 400 nm to a wavelength of at least 600 nm, at least 700 nm or at least 800 nm.
- the range can extend at least from 500 nm to 1000 nm.
- the calibration object can have a sterile and/or sterilized surface.
- the medical system can include an outer packaging for the calibration object, which encloses the calibration object in a sterile manner. The calibration object can be removed from the outer packaging before entering the cavity and recording the calibration image.
- the calibration object can be part of a medical instrument. This allows a calibration image to be recorded without any significant loss of time, for example if the instrument is already inserted into the cavity.
- the at least one color surface can be autoclave-resistant in such a way that the spectral properties of the color surface are at least substantially retained when the calibration object is autoclaved.
- the spectral properties of the color surface can remain substantially unchanged over at least ten, at least 20, at least 50 or even at least 100 autoclaving cycles. This allows the calibration object to be used multiple times. This design can be particularly advantageous if the calibration object is located on a medical instrument that can be used multiple times and/or is part of such an instrument.
- the spectral properties of the color surface mimic spectral properties of human and/or animal tissue.
- an absorption spectrum and/or a reflection behavior and/or a scattering behavior of the colored surface at least in the visible spectral range and/or in the near-infrared range at least essentially corresponds to an absorption spectrum and/or a reflection behavior and/or a scattering behavior of human and/or animal tissue.
- the tissue can be epithelial tissue, muscle tissue, nervous tissue and/or connective tissue. This allows color matching to be carried out particularly precisely with respect to relevant spectral ranges. Under certain circumstances, additional weighting of spectral regions in the calibration image can be omitted since it is known that the image of the calibration object reflects the spectral region in which tissue is to be imaged.
- the calibration object may be intended for single use.
- the calibration object can, for example, be inserted into the cavity once after recording the calibration image and then thrown away. In this way, a calibration object can be provided that can be produced inexpensively and with low requirements in terms of material quality and durability.
- Basic calibration data can be generated efficiently and with little effort, in particular, if the imaging unit is set up to record at least one basic calibration image in a color-calibrated state.
- the basic calibration data can be based at least partially on the basic calibration image.
- the basic calibration image is recorded in particular extraoperatively and outside a body cavity.
- the basic calibration image is recorded in a state in which the imaging unit is correctly color-calibrated and in particular is subject to correct white balance.
- the calibration object in particular can be recorded in an extraoperative state.
- the calibration image of the calibration object recorded intraoperatively can then be compared with the basic calibration image.
- the calibration unit can be set up to determine spectral information of an image area of the calibration image that is assigned to the calibration object. This makes spectral information available that relates to the calibration object. This can be compared with the known or expected spectral properties of the calibration object, whereby a color adjustment or correction can be carried out with a high degree of accuracy.
- the calibration unit is set up to carry out image recognition to recognize the calibration object. This allows a high degree of automation to be achieved.
- the image recognition can detect a segmentation, based on which image areas of the calibration image can be determined in which at least parts of the calibration object are located.
- the image recognition can be based on information obtained from the base calibration image.
- a user can make specifications regarding recognition of the calibration object based on the base calibration image, which are used by the calibration unit to recognize the calibration object in the calibration image. In this way, a high degree of reliability of detection of the calibration object can be achieved.
- the detection of the calibration object can include detection as to whether there is a calibration object in the image. This can be achieved, for example, using suitable classification models.
- the image recognition can include putting the imaging unit and in particular a camera of the imaging unit into a calibration mode. This can, for example, include specifying a specific exposure rule, especially in the case of a multispectral one Imaging unit, a change from a white light mode to a multispectral mode in which no image is displayed to the user, at least temporarily, or a method to a suitable location of an imaging slit of a hyperspectral detection sensor system.
- the detection of the calibration object can include detection of image points and/or image areas that belong to the calibration object. This can be achieved, for example, using suitable classification models. This allows those image areas that are relevant for the calibration to be selected from the calibration image. Furthermore, spectral properties can be determined for the mentioned image areas and/or image points.
- the imaging unit can be set up to automatically switch to a calibration mode if the calibration object is detected. This achieves a high degree of operating safety and ease of use.
- the recognition of the calibration object can be carried out particularly efficiently if the image recognition is based on multispectral and/or hyperspectral image data.
- the image recognition can be carried out using the same image data that forms the basis of the calibration image.
- the image recognition can include recognition of the calibration object in the calibration image.
- the imaging unit is configured to perform white light imaging, with image recognition being based on white light image data. This allows a high degree of accuracy in the recognition of the calibration object to be achieved.
- the calibration unit can be configured to match white light image data with the calibration image or to map them to one another. An image area found in a white light image in which the calibration object is located can then be recognized in the calibration image. This allows the calibration object to be reliably and precisely recognized in the calibration image and an image area that is relevant for the color adjustment to be used. It is advisable to use a calibration object with a distinctive shape and/or a distinctive color design that promotes image recognition. For example, it can be a color pattern with defined areas that have geometric shapes and/or colors that are easy to recognize and possibly distinguishable from one another.
- a calibration image of high quality and relevant information content can be obtained in particular if the imaging unit is set up to capture at least one test image of the calibration object.
- the calibration unit can be set up to create an analysis of the test image and to specify at least one image acquisition parameter for capturing the calibration image in accordance with the analysis.
- the image acquisition parameter can, for example, relate to settings that relate to multispectral and/or hyperspectral imaging during the acquisition of the calibration image. For example, in the case of a pushbroom camera, this can be used for targeted column recordings after the test image has been used to determine in which image area the calibration object is located. The recording of the calibration image can then be directed at these image areas, thereby achieving a high spectral resolution and/or enabling rapid image acquisition.
- Information relevant to a color adjustment can be specifically determined in particular if the calibration unit is set up to disregard overexposed image areas and/or underexposed image areas of the calibration image for the color adjustment.
- the detection of overexposed image areas can in particular be carried out in addition to the detection of image areas in which the calibration object is located.
- the color adjustment can therefore be based in particular and preferably only on those image areas in which the calibration object is imaged correctly exposed.
- the color adjustment can be carried out precisely and/or depending on the situation if the imaging unit is set up to record several intraoperative calibration images of the calibration object while the calibration object is introduced into the cavity.
- the color adjustment can be based on the several different calibration images.
- a combination image can be determined from multiple calibration images. In this way, for example, averaged spectral information can be obtained.
- several calibration images can be recorded at time intervals and a color adjustment can be carried out in each case. The color adjustment can thus be adapted to a changing imaging situation.
- the color adjustment can include a spatial and/or a temporal weighting of the several different calibration images.
- Several calibration images can thus be combined in a targeted manner, taking the relevant information into account and less relevant or irrelevant information can be ignored.
- the weighting may depend on additional information available, such as a focus, an image area, a lighting situation, image capture parameters, etc. during the acquisition of the multiple calibration images.
- the weighting can additionally or alternatively include results of image analyses. For example, a self-learning system and/or an AI algorithm can be used to assess a quality, a suitability, an image area, a relevance or the like of calibration images.
- image errors in calibration images can be detected and corresponding calibration images can be sorted out or at least taken into account with a low weighting.
- the medical imaging device may further comprise an assessment unit configured to compare a degree of color calibration adjustment with a threshold value and issue a recommendation for external and/or extraoperative recalibration if the degree of color calibration adjustment exceeds the threshold value .
- an assessment unit configured to compare a degree of color calibration adjustment with a threshold value and issue a recommendation for external and/or extraoperative recalibration if the degree of color calibration adjustment exceeds the threshold value .
- an expected quality of color calibration may be presented to a user. For example, if there is no instrument or, generally speaking, no calibration object in the image area at the beginning of an intervention, the expected quality of the color calibration is low. Under certain circumstances, a hyperspectral recording can even be deactivated automatically if it is expected that it cannot be carried out with reasonable quality. After a calibration object, in particular an instrument with one, can be recognized in the image, a color calibration can be carried out. Usage security then has a high degree because image data can be reliably generated. After removing the instrument/calibration object, safety can decrease again, particularly due to the slow heating of the camera and light source.
- a recording function is automatically deactivated again in order to prevent incorrect images from being recorded.
- the devices and systems according to the invention as well as the methods according to the invention should not be limited to the application and embodiment described above. In particular, these can have a number of individual elements, components and units as well as method steps that deviate from the number of individual elements, components and units as well as method steps mentioned here in order to fulfill a function of operation described herein.
- values lying within the stated limits should also be considered disclosed and can be used in any way.
- first, second, third object, etc. these serve to name and/or assign objects. Accordingly, for example, a first object and a third object, but not a second object, can be included. However, a number and/or a sequence of objects could also be derived from number words.
- 1 shows a schematic representation of a medical system with a medical imaging device
- 2 shows a schematic representation of a calibration image with an image area that shows a calibration object
- 3 shows a schematic spectrum of the image area of the calibration image, which shows the calibration object
- FIG. 4 shows a schematic representation of a basic calibration image with an image area that shows a calibration object
- FIG. 6 shows a schematic representation of a calibration image with overexposed and underexposed image areas
- Fig. 8 is a schematic representation of a calibration image, which is another
- FIG. 9 shows a schematic representation of a calibration image that shows yet another calibration object
- FIG. 10 is a schematic perspective view of another medical system.
- FIG. 11 shows a schematic flowchart of a method for color adjustment of a medical imaging device.
- the imaging device 10 is an endoscopic imaging device, specifically an endoscope device.
- the imaging device 10 could be an exoscopic, a microscopic or a macroscopic imaging device.
- the imaging device 10 is intended, for example, for examining a cavity.
- the imaging device 10 includes an imaging unit 12 that is set up to carry out multispectral and/or hyperspectral image capture.
- the imaging unit 12 includes at least one optics and image capture sensors, which are not shown in FIG. 1. These can be at least partially integrated into a camera unit 45.
- the optics and the image capture sensor system can optionally comprise usable optical filters and/or image sensors operating in different spectral ranges.
- the optics and the image capture sensors can work, for example, using the pushbroom method or the whiskbroom method.
- the imaging unit 12 can be set up to record white light images in addition to multispectral and/or hyperspectral image capture. This can be done in parallel or sequentially to multispectral and/or hyperspectral imaging. For example, a real-time white light image can be generated.
- multispectral images and/or hyperspectral images and/or fluorescence images can then be superimposed on the white light image, alternating with it and/or displayed in parallel therewith.
- the imaging device 10 comprises an imaging instrument 42, for example an endoscope. Parts of the optics and/or the image capture sensors can also be integrated into the imaging instrument 42.
- a camera (“Tipcam”) arranged on a distal shaft end of the imaging instrument may be provided.
- the imaging device 10 further comprises an illumination unit 44.
- the illumination unit 44 can be connectable and/or connected to the imaging instrument and can provide illumination light for image capture.
- the illumination unit 44 can be designed to be multimodal and, for example, generate white light, excitation light for fluorescence imaging and/or excitation light for multispectral and/or hyperspectral imaging.
- the medical system 34 includes a medical instrument 38.
- the medical instrument 38 can be set up to provide therapeutic and/or to be inserted into a patient's cavity for diagnostic purposes.
- the medical instrument 38 is a tissue coagulation forceps.
- any medical instruments are possible according to the invention. These can be inserted through a working channel of an endoscope and/or through an access device and/or through a cut and/or otherwise into a particularly opened cavity and can be used there.
- the medical system 34 and/or imaging device 10 further comprises a display unit 46.
- the display unit 46 is set up to display representations to a user that are based, for example, on captured image data. For example, a user can view a site via the display unit 46 in order to observe the medical instrument 38, assess the tissue to be treated and/or examined, check a correct arrangement and/or orientation of the imaging instrument 42, or the like.
- the imaging unit 12 is set up to record at least one calibration image 14 of a calibration object 18 that can be introduced intraoperatively into a cavity 16.
- the recording of the calibration image 14 takes place in a state in which the imaging device 10 images an interior of the cavity 16 and, for example, is at least partially inserted into it and/or focused into it.
- the calibration object 18 is introduced into the cavity 16.
- the calibration object 18 is used to carry out a color adjustment for the image capture, by means of which a color calibration can be adjusted. In this case, a white balance calibration can be adjusted and/or carried out.
- the calibration image 14 is recorded under real operating conditions. As a result, the color adjustment is based on conditions that actually occur during image capture.
- the imaging device 10 comprises a calibration unit 20, which is shown schematically in Fig. 1.
- the calibration unit 20 can be designed as a physically separate unit. It can also be integrated into a controller and/or control unit of the imaging device 10.
- the calibration object 18 is part of the medical instrument 38.
- the calibration object 18 can include a label 40, for example.
- the label 40 includes, for example, a logo and/or characters and/or symbols, such as a company name and a company logo or a type designation of the instrument.
- the calibration object 18 can be designed in such a way that it cannot be immediately recognized as such by uninvolved people.
- the calibration image 14 contains an image area 26 which is assigned to the calibration object 18.
- the calibration unit 20 is set up to determine such an image area 26. In the case shown as an example, this is done automatically using image segmentation.
- the calibration object may include symbols and/or markings that support recognition. For example, a partial or complete frame and/or at least a boundary line or the like can be present. Such limiting elements can be identified easily and reliably using common methods. Based on this, the image area 26 can then be determined, within which the calibration object 18 is located.
- the image area 26 shown in Fig. 2 is to be understood as schematic. If the calibration object includes, for example, one or more characters, logos and/or symbols, the image area 26 can be limited by edges and/or a contour thereof. The image area 26 can, for example, only include the characters, logos and/or symbols. As a result, the image area 26 is limited to sections in which the calibration object 18 has known and defined optical properties, whereby a color adjustment can be carried out reliably.
- the image recognition of the calibration object 18 can be based on multispectral and/or hyperspectral image data. In particular, the image recognition can be carried out directly and in particular exclusively based on the calibration image 14. Alternatively or additionally, an associated white light image can also be analyzed. For example, a position and a covered image area of the calibration object 18 can be recognized in the white light image and a corresponding position/image area in the calibration image 14 can be determined.
- the image recognition can be carried out using a Kl algorithm that is based on image segmentation.
- the algorithm can be trained appropriately, for example using multiple images of the calibration object 18 and/or similar or identically designed objects. In some embodiments, the training is based on recognition of different lettering, logos and symbols.
- the calibration unit 20 can thereby be set up to recognize different calibration objects 18, in particular calibration objects 18 that include different labels.
- the imaging device 10 can be color-adjusted intraoperatively when used with different calibration objects 18 and in particular with different instruments that include different calibration objects 18. It is then not necessary to introduce a specific calibration object into the cavity 16 specifically for the color adjustment, but the color adjustment can be carried out as part of any desired interventions.
- the imaging unit 18 can be automatically put into a calibration mode in the event that a calibration object 18 is detected.
- a calibration mode for example, a white light display can be temporarily interrupted for the user.
- certain predetermined image capture parameters can be set automatically in the calibration mode, so that the correct execution of a calibration is guaranteed.
- the calibration object 18 includes at least one color area 36 with predetermined spectral properties.
- the label 40 forms the color area 36.
- the color surface 36 can be homogeneously colored, for example white, gray or with a color that replicates the spectral properties of human and/or animal tissue.
- the color surface 36 may have an absorption spectrum similar to that of human and/or animal tissue in the visible region and/or near-infrared region. As a result, a color adjustment can be based on a spectrum that is oriented in the relevant spectral ranges to the area of application of the imaging device.
- the coloured surface 36 is autoclave-proof. Its spectral properties are therefore retained even after repeated autoclaving.
- the calibration object 18 is thus autoclaved and thus prepared for a new use when the medical instrument is autoclaved.
- the autoclave resistance can be achieved by using an autoclave-proof colour and/or by using a coating.
- a suitable coating can be based on a lacquer and/or vaporised and/or sputtered, for example.
- metal oxide coatings are suitable, which are visible in the visible and in the Near-infrared light is transparent, but at the same time can withstand the harsh conditions of autoclaving.
- FIG. 3 shows a schematic spectrum 48 of the image area 26 of the calibration image 14, which shows the calibration object 18.
- the spectral range covered extends, for example, at least from 400 nm to 750 nm, from 400 nm to 900 nm or even further to smaller and/or larger wavelengths.
- the spectrum can extend over a wavelength range that corresponds to the wavelength range covered by the imaging unit 12.
- this spectrum 48 is based on an averaging over pixels of the image area 26.
- the spectrum 48 is alternatively or additionally based on a temporal averaging.
- the spectrum 48 can be based on hyperspectral or multispectral image data.
- the spectrum shown in FIG. 3 is to be understood purely as an example. In particular, in the case of a multispectral imaging unit, it can also be a spectrum that only includes a few points, in particular one point per multispectral support point.
- the calibration unit 20 is set up to first determine the image area 26 and then to determine spectral information of the image area 26. This is in particular the spectrum 48 shown schematically.
- the calibration unit 20 Based on the spectral information thus determined, the calibration unit 20 carries out a color adjustment.
- the color adjustment is based on basic calibration data.
- the basic calibration data relate to the calibration object 18. Based on this, the calibration unit carries out at least one calculation that is based on the basic calibration data and on the calibration image 14, in particular on the spectral information determined with respect to the image area 26.
- the basic calibration data can include a known spectrum of the calibration object 18, in particular its at least one color area 36.
- the basic calibration data can therefore be stored and/or stored in the calibration unit 20.
- the basic calibration data is based on the recording of at least one basic calibration image 22.
- the imaging unit 12 is set up to be in a color-calibrated state Record basic calibration image 22.
- the imaging unit 12 is calibrated externally so that it has a correct white balance calibration.
- at least one basic calibration image 22 of a basic calibration object 19 is recorded.
- the base calibration object 19 can be, for example, a neutral-colored screen and/or a neutral-colored color balance card, for example a gray card, a white area or the like.
- the base calibration object 19 may include a target mark in a known manner to enable correct alignment.
- a completely uniform surface can also be imaged, which has the advantage that a spectrum can be obtained for each pixel. If a target marker is used, the relevant image points can be hidden. Alternatively, the spectra belonging to pixels of the target marking can be replaced by spectra of nearby pixels and/or interpolated based on these.
- the calibration unit 20 is also set up to determine spectral information of the image area 50. From this, a spectrum 52 of the calibration object 18 can be obtained, as shown as an example in FIG. 5. Due to the external color calibration of the imaging unit 12 before recording the basic calibration image 22, the spectrum 52 or generally spectral information determined from the basic calibration image 22 is spectrally unadulterated. A calculation on which the color adjustment is based can thus be carried out by comparing intraoperatively determined spectral information, such as in particular the spectrum 48, with spectral information, in particular the spectrum 52, which is based on the base calibration image 22.
- a color adjustment is carried out using the spectra 48, 52, for example, as follows.
- w 0 denote the spectrum 52. This is assumed to correspond to the spectrum with correct white balance calibration.
- Wi should denote the spectrum 48. This corresponds to the measurement of the calibration object 18 carried out intraoperatively, which may produce a color deviation and require a color adjustment.
- the color adjustment is then defined by the quotient w 0 /wi, ie captured images can be corrected with w 0 /wi.
- a black balance correction can also be carried out analogously to the procedure described here. This can be included in the color adjustment.
- a black level b can be determined by taking an image in the absence of lighting.
- the calibration object 18 has at least one black color area 36, which is in Calibration image 14 can be recognized. If a black level is taken into account, the color adjustment factor is determined as (w 0 -b)/(wi-b).
- FIG. 6 shows a schematic representation of a calibration image 53 with an overexposed image area 28 and an underexposed image area 30.
- These image areas 28, 30 can influence spectral evaluations of the calibration image 53. In the case shown as an example, these also overlap the image area 26 in which the calibration object 18 is imaged, so that it cannot be completely recognized. If the entire image area 26 were used as the basis for the color adjustment, the overexposed image area 28 and/or the underexposed image area 30 could have an effect on the color adjustment.
- the calibration unit 20 is set up to detect overexposed image areas 28 and underexposed image areas 30 and to disregard them in the color adjustment. If necessary, only a part of the image area 26 is used and thus only a section of the calibration object 18 that is imaged correctly and/or with sufficient quality and/or accuracy is taken into account.
- the imaging unit can be set up to capture at least one test image 24 of the calibration object 18.
- a test image 24 is shown as an example in FIG. 7.
- the test image 24 can be used to check the suitability of a selected image setup for carrying out an intraoperative calibration. Based on the test image 24, it can be assessed whether a calibration image 14 recorded in the next step can provide suitable spectral information.
- the calibration unit 20 is also set up to create an analysis of the test image 24 and to specify at least one image capture parameter for capturing the calibration image 14 in accordance with the analysis.
- the test image 24 is thus used to adapt and, if necessary, optimize parameters for recording the calibration image 14.
- the analysis of the test image 24 includes a determination of an image area 54 in which the calibration object 18 is located.
- the image area 54 can be selected depending on the adjustability of the imaging unit 12. In the example, it differs from the image area 26 described above, which is primarily or exclusively based on the extent and contour of the calibration object 18.
- the image area 54 is used to set parameters for column recordings in such a way that that spatially and spectrally resolved image data is only recorded for the image area 54. This can then be done in a short time and/or with high accuracy.
- an exposure and/or a focus and/or other image capture parameters are optimized only in relation to the image area 54.
- overexposure and/or underexposure in areas outside the image area 54 can be accepted. If a calibration image 14 is then recorded based on the analysis of the test image 24, this is optimized in such a way that reliable data can be obtained, in particular for the image area 54.
- the calibration unit 20 is set up to record several intraoperative calibration images 14 of the calibration object 18 while the calibration object 18 is introduced into the cavity 16.
- the color adjustment is then based on several different calibration images 14. These can show identical and/or different motifs. For example, several identical calibration images 14 can be recorded one after the other in order to be able to compensate for image errors. Furthermore, several calibration images 14 with different acquisition parameters such as lighting, exposure time, focus, etc. can be recorded and analyzed. Based on the individual analyses, color adjustment can be carried out through averaging, weighting, connection, adjustment, etc. Alternatively or additionally, several calibration images 14, which were recorded with matching parameters and from the same subject, can first be overlaid to form a single image, which is then subjected to analysis.
- the color adjustment can include a spatial and/or temporal weighting of the several different calibration images 14. This weighting can also only relate to selected image areas of the different calibration images 14. For example, for each calibration image 14, the image area 26 that is assigned to the calibration object 18 can first be determined. The further analysis to determine the color adjustment is then based on the determined image areas 26.
- the imaging device 10 further includes an assessment unit 32 configured to compare a degree of color calibration adjustment with a threshold value and issue a recommendation for external recalibration if the degree of color calibration adjustment exceeds the threshold value .
- the recommendation can be output via the display unit 46, for example. If only minor adjustments are required that do not exceed the threshold, no external recalibration is required.
- Fig. 8 shows a schematic representation of a calibration image 14', which shows another calibration object 18'.
- the calibration object 18' has several color areas 36' with predetermined spectral properties. These are designed as homogeneous color areas with an extent of a few mm 2 , for example as rectangles, squares, circles, polygons, ellipses or other simple geometric figures.
- the color areas 36' can be found easily and reliably on the basis of image segmentation. They can also have different colors, so that several spectra can be obtained, which can be used as the basis for the color comparison.
- the calibration object 18' can be part of a medical instrument 38', analogous to the calibration object 18 described above.
- Fig. 9 shows a schematic representation of a calibration image 14", which shows another calibration object 18".
- the calibration object 18" has at least one color area 36' with specified spectral properties.
- the 18" calibration object is intended for one-time use.
- the 18" calibration object is, for example, part of a calibration rod 56. This can be packaged sterile. If a color adjustment is to be carried out, the calibration object 18" and/or the calibration rod 56 is unpacked and inserted into the cavity 16. Since the 18" calibration object is unused before use, its spectral properties are known very precisely and are not affected by previous cleaning cycles, autoclaving and/or contamination.
- a calibration object can also be used that is designed as a separate element and is not part of a medical instrument, but can still be intended for repeated use.
- Fig. 10 shows a schematic perspective view of a further medical system 34'' with an alternative imaging device 10''.
- the alternative imaging device 10' basically works analogously to the imaging device 10 described above.
- the alternative imaging device 10'" is designed as an exoscopic imaging device. For multispectral and/or hyperspectral imaging, it is directed, for example, into an opened cavity 16'". When adjusting the color, a calibration object 18'' is placed in the cavity 16'', as described above.
- FIG. 11 shows a schematic flowchart of a method for color adjustment of a medical imaging device.
- the sequence of the procedures also results from the above statements.
- the method is carried out using the imaging device 10.
- the method includes a step S1 of intraoperatively introducing a calibration object 18 into a cavity 16.
- the method further comprises a step S2 of recording at least one intraoperative calibration image 14 of the calibration object 18 introduced intraoperatively into the cavity 16.
- the method also includes a step S3 of carrying out a color adjustment for the image capture in accordance with the calibration image 14, wherein the color adjustment includes an adjustment of a color calibration, in particular a white balance calibration.
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Abstract
Description
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102022123881.4A DE102022123881A1 (de) | 2022-09-19 | 2022-09-19 | Medizinische Bildgebungsvorrichtung, medizinisches System und Verfahren zur Farbanpassung einer medizinischen Bildgebungsvorrichtung |
| PCT/EP2023/075484 WO2024061772A1 (de) | 2022-09-19 | 2023-09-15 | Medizinische bildgebungsvorrichtung, medizinisches system und verfahren zur farbanpassung einer medizinischen bildgebungsvorrichtung |
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| EP4590168A1 true EP4590168A1 (de) | 2025-07-30 |
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| Application Number | Title | Priority Date | Filing Date |
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| EP23771885.3A Pending EP4590168A1 (de) | 2022-09-19 | 2023-09-15 | Medizinische bildgebungsvorrichtung, medizinisches system und verfahren zur farbanpassung einer medizinischen bildgebungsvorrichtung |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4590168A1 (de) |
| DE (1) | DE102022123881A1 (de) |
| WO (1) | WO2024061772A1 (de) |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6244217A (ja) * | 1985-08-23 | 1987-02-26 | 株式会社東芝 | 電子式内視鏡装置 |
| US5058603A (en) * | 1988-08-09 | 1991-10-22 | Asahi Kogaku Kogyo K.K. | Length-measuring device and reference color display device for color tone adjustment for use in combination with endoscope |
| DE4208454A1 (de) * | 1992-03-17 | 1993-09-23 | Robert Prof Dr Ing Massen | Endoskop mit farbtreuer bilddarstellung |
| US7547277B2 (en) * | 2005-12-15 | 2009-06-16 | Microvision, Inc. | Method and apparatus for calibrating an endoscope system |
| DE102013217379A1 (de) | 2013-08-30 | 2015-03-05 | Spekled GmbH | Vorrichtung und Verfahren zur Aufnahme eines Hyperspektralbildes |
| WO2018088498A1 (ja) * | 2016-11-10 | 2018-05-17 | 京セラオプテック株式会社 | 体腔内観察システム、トロカール装置、及び体腔内観察システムの作動方法 |
| DE102020105458B4 (de) | 2019-12-13 | 2023-09-28 | Karl Storz Se & Co. Kg | Medizinische Bildgebungsvorrichtung |
-
2022
- 2022-09-19 DE DE102022123881.4A patent/DE102022123881A1/de active Pending
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2023
- 2023-09-15 WO PCT/EP2023/075484 patent/WO2024061772A1/de not_active Ceased
- 2023-09-15 EP EP23771885.3A patent/EP4590168A1/de active Pending
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| Publication number | Publication date |
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| DE102022123881A1 (de) | 2024-03-21 |
| WO2024061772A1 (de) | 2024-03-28 |
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