WO2017069321A1 - Procédé de détection d'intensité de rayonnement de rayonnement ionisant au moyen de la caméra d'un smartphone, et smartphone capable de mettre en œuvre ledit procédé - Google Patents

Procédé de détection d'intensité de rayonnement de rayonnement ionisant au moyen de la caméra d'un smartphone, et smartphone capable de mettre en œuvre ledit procédé Download PDF

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WO2017069321A1
WO2017069321A1 PCT/KR2015/012093 KR2015012093W WO2017069321A1 WO 2017069321 A1 WO2017069321 A1 WO 2017069321A1 KR 2015012093 W KR2015012093 W KR 2015012093W WO 2017069321 A1 WO2017069321 A1 WO 2017069321A1
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smartphone
camera
light
value
amount
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PCT/KR2015/012093
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English (en)
Korean (ko)
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김호철
강한규
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을지대학교 산학협력단
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/02—Details
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16—Measuring radiation intensity
    • G01T1/20—Measuring radiation intensity with scintillation detectors
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16—Measuring radiation intensity
    • G01T1/20—Measuring radiation intensity with scintillation detectors
    • G01T1/202—Measuring radiation intensity with scintillation detectors the detector being a crystal
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
    • G01T1/16—Measuring radiation intensity
    • G01T1/24—Measuring radiation intensity with semiconductor detectors

Definitions

  • the present invention relates to a method for detecting light quantity of ionizing radiation using a camera of a smartphone and a smartphone capable of performing the same, and more particularly, to a CMOS of a camera embedded in a smartphone itself without an external detection device for measuring radiation.
  • CMOS Complementary Metal Oxide Semiconductor
  • Ionized radiation also commonly referred to as radiation, has the property of acting on a substance to cause ionization directly or indirectly. Ionization is the atom constituting a substance when radiation reacts with the substance. It is a phenomenon of bouncing orbital electrons out of. That is, Compton scattering and photoelectric effects. Radiation includes indirect ionizing radiation (ultraviolet rays, X-rays, ⁇ rays, neutron rays) and direct ionizing radiation ( ⁇ rays, ⁇ rays, electron beams, protons, heavy ions, etc.), which are flows of charged particle particles with kinetic energy. ).
  • indirect ionizing radiation ultraviolet rays, X-rays, ⁇ rays, neutron rays
  • direct ionizing radiation ⁇ rays, ⁇ rays, electron beams, protons, heavy ions, etc.
  • GM-counter a commonly used radiation measuring equipment
  • GM-counter has a wide measuring range and can measure even small doses, but it is mainly supplied to hospitals and research institutes for the purpose of manufacturing products.
  • the energy resolution is excellent, but the price is high and it is difficult to spread to the general public. Therefore, for the popularization of radiation measuring equipment, it is necessary to develop products with excellent radiation detection ability and low cost.
  • CMOS-based semiconductor devices mounted in most smartphone cameras was developed for the purpose of photography.
  • CMOS semiconductor devices react with electromagnetic waves in other wavelengths such as ultraviolet light, gamma rays, and radiation to emit electrical signals that can be detected.
  • the smartphone penetration rate is rapidly increasing worldwide, and in Korea, the smartphone penetration rate is maintaining the world's highest level, so if a CMOS semiconductor device reacts to radiation such as X-rays, an external detector is used. Without any existing smartphone, anyone will be able to easily detect medical X-rays.
  • the CMOS semiconductor device in order to use a smartphone as a radiation detector such as X-rays, the CMOS semiconductor device must be highly sensitive to radiation, which means that the detection accuracy of the dose must be high and the dose can be stably detected.
  • an algorithm that can separate a radiation signal such as X-rays from a signal containing noise obtained from the smartphone itself must be developed.
  • the present invention has been made to solve various problems including the above problems, and efficiently detects radiation such as X-rays generated in a medical radiation generating device by utilizing a CMOS semiconductor device of a smartphone itself without a separate external radiation detection device.
  • An object of the present invention is to provide a method for detecting light quantity of ionizing radiation using a camera of a smartphone capable of implementing optimal conditions and algorithms for performing the same, and a smartphone capable of performing the same.
  • these problems are exemplary, and the scope of the present invention is not limited thereby.
  • the method for detecting the amount of ionizing radiation using a camera of a smartphone includes filtering the first band of light and blocking the second band of light in the direction of the camera of the smartphone. step; A video information generating step of generating video information by setting the camera of the smart phone to a video mode; And a sum of the sum of the number of pixels exceeding a minimum brightness reference value capable of responding to light in the first band, the amount of brightness of the pixels, and the number and the amount of brightness for each frame of the video information. Selecting the above to calculate the total reaction amount for the entire frame, and using the total amount of reaction to calculate the amount of light received by the first band; may include.
  • the first band is a radiation band
  • the second band is a band other than the radiation
  • the camera of the smartphone may include a CMOS image sensor.
  • the camera of the smartphone is a front camera installed in front of the smartphone, the rear camera installed in the rear of the smartphone and the illumination sensor installed in the smartphone, the smartphone
  • the smartphone By selecting any one or more of the installed infrared sensor, one or more of a black insulating tape filter, a constant thickness aluminum thin film filter, a constant thickness copper thin film filter, a constant thickness metal thin film filter may be installed.
  • the amount of brightness detected by the pixel in the light amount calculation step includes at least an R value, a G value, a B value, an average value of RGB, a Gray value, RGB color information, and a luminance value Y and a color difference value.
  • the YUV method represented by (U, V) one of the luminance value Y and a combination thereof may be selected.
  • the light receiving amount of the first band may be a linear function relationship with the total reaction amount.
  • the light amount detection method of the ionizing radiation using the camera of the smart phone according to the present invention after the filtering step, the light of the first band of the filtered light conversion to the flash crystal, the converted light converted into the smart It may further include a light conversion step of inducing the camera of the phone.
  • the scintillation crystal comprises a Gd 3 Al 2 Ga 3 O 12 : Ce (GAGG: Ce) component without endogenous radioactivity, in addition to no intrinsic radioactivity Any scintillator can be used.
  • a light guide, an optical grease, an acrylic plate, a lens, and a magnifying glass may be selected and installed between the scintillation crystal and the camera to reduce total reflection.
  • the light amount detection method of the ionizing radiation using the camera of the smart phone according to the present invention before the light amount calculation step, the minimum brightness reference value by measuring the noise level of the pixel that is not normally irradiated with the light of the first band A reference value setting step of setting a; may further include.
  • the reference value setting step the video information is generated by setting the camera of the smartphone to the video mode, at least R value, G value, B value, RGB generated in the pixel during the reference time Average value of noise value by selecting any one or more of luminance value Y and a combination thereof in the YUV method of displaying the average value, gray value, and RGB color information of the luminance value (Y) and the color difference value (U, V).
  • a standard deviation value, and a value corresponding to an upper limit value of 99 percent confidence interval in a normal distribution or a value obtained by adding three times the standard deviation value to the mean value may be set as the minimum brightness reference value.
  • the smart phone according to the spirit of the present invention for solving the above problems, can perform a method for detecting the amount of ionizing radiation using the camera of the smart phone of claim 1 to claim 9.
  • the optimum conditions for efficiently detecting ionizing radiation such as X-rays or gamma rays generated in the medical radiation generating apparatus utilizing the CMOS semiconductor device of the smart phone itself and It has the effect of implementing an algorithm.
  • the scope of the present invention is not limited by these effects.
  • FIG. 1 is a schematic view showing an experimental example for performing a light amount detection method of ionizing radiation using a camera of a smart phone according to some embodiments of the present invention.
  • FIG. 2 is a photograph showing an experimental example for performing a light amount detection method of ionizing radiation using a camera of the smartphone of FIG. 1.
  • FIG. 3 is an enlarged photograph of portion A of FIG. 2.
  • FIG. 4 is a perspective view illustrating a scintillation crystal that may be used in an experimental example for performing a light amount detection method of ionizing radiation using a camera of a smartphone according to some other embodiments of the present disclosure.
  • FIG. 5 is a photograph showing the scintillation crystal of FIG. 4.
  • FIG. 6 is a schematic diagram illustrating an experimental example for performing a light amount detection method of ionizing radiation using a camera of a smartphone using the flash crystal of FIG. 4.
  • FIG. 7A is an image according to a tube current of a smartphone, when X-rays are not irradiated
  • FIG. 7B is an image when 50 mAs at a tube voltage of 80 kV
  • FIG. 7C is a view comparing images when 100 mAs at a tube voltage of 80 kV. admit.
  • FIG. 8A is a graph comparing the front and rear cameras of a smartphone, wherein the brightness of pixels in the front camera, the brightness of pixels in the rear camera, FIG. 8C is the number of response pixels in the front camera, and FIG. 8D is the rear view. These graphs compare the number of response pixels in the camera.
  • Figure 9 is a graph comparing the conversion method of the radiation signal to the image signal, (a) the brightness of the pixel according to the tube voltage when using the direct detection method in the front camera, and (b) the tube voltage when using the direct detection method in the front camera These are graphs showing the number of pixels according to (c) the brightness of pixels according to the tube voltage when using the indirect detection method in the rear car and (d) the number of pixels according to the tube voltage when using the indirect detection method in the rear camera.
  • FIGS. 10 are graphs showing a relationship between pixel intensity and absorbed dose according to dose in a gray model.
  • 11A, 11B, and 11C are graphs illustrating gamma ray detection experimental examples.
  • first, second, etc. are used herein to describe various members, parts, regions, layers, and / or parts, these members, parts, regions, layers, and / or parts are defined by these terms. It is obvious that not. These terms are only used to distinguish one member, part, region, layer or portion from another region, layer or portion. Thus, the first member, part, region, layer or portion, which will be discussed below, may refer to the second member, component, region, layer or portion without departing from the teachings of the present invention.
  • top or “above” and “bottom” or “bottom” may be used herein to describe the relationship of certain elements to other elements as illustrated in the figures. It may be understood that relative terms are intended to include other directions of the device in addition to the direction depicted in the figures. For example, if the device is flipped in the figures, elements depicted as being on the top of the other elements will be oriented on the bottom of the other elements. Thus, the exemplary term “top” may include both “bottom” and “top” directions depending on the particular direction of the figure. If the device faces in the other direction (rotated 90 degrees relative to the other direction), the relative descriptions used herein can be interpreted accordingly.
  • FIG. 1 is a schematic view showing an experimental example for performing a light quantity detection method of ionizing radiation using a camera of a smartphone according to some embodiments of the invention
  • Figure 2 is a view of the ionizing radiation using a camera of the smartphone of
  • FIG. 3 is a photograph showing an example of experiment for performing the light amount detection method
  • FIG. 3 is an enlarged photograph showing part A of FIG. 2.
  • the method for detecting the amount of ionizing radiation using a camera of a smartphone may include a first method in a direction of the camera 2 of the smartphone 1.
  • a filtering step of passing light of a band and blocking light of a second band may include a video information generating step of generating video information by setting the camera 2 of the smart phone 1 to a video mode, and the video information
  • the sum of the pixel number, the pixel intensity, and the pixel number and the brightness amount exceeding the minimum brightness reference value capable of responding to the light of the first band for each frame of? Selecting any one or more of the sum to calculate the total reaction amount for the entire frame, and using the total reaction amount may include the step of calculating the amount of light received by the first band received amount.
  • the first band may be a radiation band
  • the second band may be a remaining band except for the radiation.
  • the said radiation means ionizing radiation.
  • Ionizing radiation includes indirect ionizing radiation and direct ionizing radiation.
  • the first band tested in FIG. 1 may include a medical X-ray beam X
  • the X-ray beam X is a radiation generator 3 which is a kind of radiation generating device. It is generated by the collimator 4 (collimator) can be directed toward the ion chamber 5 for measuring the radiation dose can be irradiated to the camera 2 of the smartphone (1).
  • the radiation generating apparatus used a diagnostic X-ray device (Choongwae Medical, CXD-RI55, South Korea), the above for detecting the response characteristics of the X-ray
  • the smartphone 1 used Galaxy S2 (Samsung Electronics, SHW-M250S, South Korea).
  • an ion chamber 5 (PTW, UNIDOS E, Germany) was used to measure the dose generated from the diagnostic X-ray apparatus, which is the radiation generating apparatus.
  • the camera 2 of the smartphone 1 may include a CMOS image sensor.
  • the present invention is not necessarily limited to a CMOS image sensor, and can be applied to all various image sensors such as a CCD.
  • the camera 2 of the smartphone in the filtering step includes a front camera installed in front of the smartphone 1, a rear camera installed in the rear of the smartphone, and the smartphone.
  • the illumination sensor installed in the infrared sensor installed in the smartphone black insulating tape filter (6), a constant thickness aluminum thin film filter, a constant thickness copper thin film filter, a constant thickness metal thin film filter Any one or more may be installed.
  • the smartphone 1 was photographed in a video mode and irradiated with X-rays for 0.05 seconds after about 10 seconds after the start of photographing.
  • images with fixed tube voltages of 80 kV and tube currents of 20, 40, 63, 80, 100, 125, 160, 200, and 250 mA were obtained.
  • the tube voltage was taken at 10 kV intervals from 40 kV to 120 kV with the tube current fixed at 20 mA.
  • the correlation between the measured data values and the radiation dose measured by the ion chamber was analyzed by statistical method.
  • the brightness detected by the pixel in the light amount calculation step may include at least an R value, a G value, a B value, an average value of RGB, a Gray value, and RGB color information including a luminance value Y and a color difference value U;
  • the YUV method represented by V one of the luminance value Y and a combination thereof may be selected.
  • the light receiving amount of the first band may be a linear function relationship with the total reaction amount. Therefore, the light receiving amount of the first band may be calculated by, for example, multiplying the total reaction amount by a proportional constant and adding or subtracting an initial value thereof.
  • the proportional constant or the initial value may be optimized and designed in the process of manufacturing the smart phone (1).
  • the noise level of the pixel is not normally irradiated with the light of the first band is measured
  • the reference value setting step of setting the minimum brightness reference value may be further included.
  • the camera 2 of the smartphone 1 is set to a video mode to generate video information, and at least R value, G value, B value, Average value of noise value obtained by selecting any one of luminance value (Y) and a combination thereof in YUV method that displays average value of RGB, gray value, and RGB color information as luminance value (Y) and color difference value (U, V) And a standard deviation value, and a value corresponding to an upper limit value of 99 percent confidence interval in a normal distribution or a value obtained by adding three times the standard deviation value to the mean value may be set as the minimum brightness reference value.
  • X-ray irradiation after the start of video recording to measure the noise level of the pixel of the CMOS semiconductor device when no radiation is irradiated Find the mean and standard deviation of the gray, R, G, and B noises that occurred for 10 seconds before, and set the mean value + (standard deviation * 3) corresponding to the upper limit of the 99% confidence interval in this normal distribution as the minimum brightness reference value of pixel intensity.
  • the pixels exceeding the minimum brightness reference value were regarded as pixels reacted with radiation.
  • the pixel intensity and the pixel number are named according to the method of converting the video signal.
  • the pixel that reacted with radiation was found in the entire frame, and the brightness of the pixel was expressed in 8-bit grayscale.
  • the result of adding the values together was called pixel intensity.
  • the total number of reaction pixels exceeding the minimum brightness reference value in all the frames responding to the radiation was obtained and referred to as pixel number.
  • the RGB color model is represented by comparing the degree of response of R, G, and B, which are values of the RGB color model, to the intensity and energy of X-rays.
  • FIG. 4 is a perspective view illustrating a scintillation crystal that may be used in an experimental example for performing a light quantity detection method of ionizing radiation using a camera of a smartphone according to some other embodiments of the present invention
  • FIG. 5 is the scintillation crystal of FIG. 4.
  • 6 is a schematic view showing an experimental example for performing a light amount detection method of ionizing radiation using a camera of a smartphone using the flash crystal of FIG.
  • the method for detecting the amount of ionizing radiation using a camera of the smart phone according to some other embodiments of the present invention, after the filtering step described above in FIGS. And converting the light of the first band into the scintillation crystal 7 and inducing the converted light into the camera 2 of the smartphone 1.
  • the scintillation crystal 7 includes a Gd 3 Al 2 Ga 3 O 12 : Ce (GAGG: Ce) component having no intrinsic radioactivity, and the scintillation crystal 7 and One or more of the optical guide 8, the optical grease, the acrylic plate, the lens 9, and the magnifying glass may be selected and installed between the cameras 2 to reduce the total reflection to increase the collection efficiency of the flash light.
  • a gamma ray of 662 keV was irradiated to the front camera of the smartphone 1 using a Cs-137 dotted circle (6.3 ⁇ Ci) to determine whether gamma ray was detected.
  • Gd 3 Al 2 Ga 3 O 12 : Ce (GAGG: Ce) scintillation crystals 7 having a width, length, and height of 12 x 12 x 9 mm 3 at the front of the camera are bonded to each other using a magnifying lens 9.
  • scintillation crystals (7) were used, gamma ray detection efficiency was measured.
  • one or more of a light guide, an acrylic plate, a lens, and a magnifying glass may be selected and installed between the scintillation crystal 7 and the camera 2.
  • optical grease may be applied to reduce total reflection between the devices.
  • an experiment was conducted to compare the radiation detection efficiency according to the combination of the CMOS device of the camera 2 of the smartphone 1 and the scintillation crystal 7 that emits light upon receiving radiation. That is, the indirect method of coupling the scintillation crystal 7 to the CMOS semiconductor element and the direct method of directly reacting X-rays to the CMOS semiconductor element without the scintillation crystal 7 were compared and evaluated.
  • the indirect detection method used GSO scintillation crystals (Gd 2 SiO 5 : Ce 3+ ) for the indirect detection method experiment in which a scintillation crystal is coupled to a CMOS semiconductor device to react with X-rays. .
  • the optical guide having a refractive index of 1.46 between the two bonding surfaces in order to directly adhere the flash crystal 7 of 1.5 x 1.5 x 7 mm 3 to the camera 2 portion of the smartphone 1 and to reduce the total reflection by the air layer Photogrid, a kind of (8), was used.
  • Data obtained in the above experiments were analyzed by Matlab R2012a (The Math-Works Inc., USA) software.
  • the matrix size of the front camera of the smartphone 1 used in the experiment was 640 x 480 horizontally, the total number of pixels was 307,200, and the rear camera was 1080 x vertical 1920, and the total number of pixels was 2,073,600.
  • the video file format of the smartphone 1 is MPEG-4 and has 24 frames per second.
  • the acquired experimental image was analyzed by dividing it by frame unit using MATLAB software.
  • FIG. 7A is an image according to a tube current of a smartphone, when X-rays are not irradiated
  • FIG. 7B is an image when 50 mAs at a tube voltage of 80 kV
  • FIG. 7C is a view comparing images when 100 mAs at a tube voltage of 80 kV. admit.
  • each of R and G is frame-by-frame under conditions of 80 kV and 50 mAs and 80 kV and 100 mAs, respectively.
  • the graph shows the change in brightness of the B component pixel values.
  • 7B and 7C show the lower sum of the brightness values of the entire frame while the radiation reacts to the CMOS reaction body. As the mAs value increases, the brightness value of the pixel by X-ray irradiation becomes larger. have.
  • FIG. 8A is a graph comparing the front and rear cameras of a smartphone, wherein the brightness of pixels in the front camera, the brightness of pixels in the rear camera, FIG. 8C is the number of response pixels in the front camera, and FIG. 8D is the rear view. These graphs compare the number of response pixels in the camera.
  • 8A, 8B, and 8C compare the brightness of pixels and the number of reaction pixels in the front and rear cameras of the smartphone under conditions of a tube voltage of 40 kV and a tube current of 20 mA.
  • SNR signal-to-noise ratio
  • the SNR of was 42,570 in gray and 26,635, 35,700 and 7,266 in RGB, respectively, and the SNR of gray in the rear camera was 1.20 and 1.13, 1.33, and 1.09 in RGB, respectively.
  • the SNR of the front camera was 2198 in gray and 2,342, 1,615 and 2,505 in RGB, respectively, and gray SNR in the rear camera was 3.85. In RGB, 0.82, 24.11, and 0.81, respectively.
  • the SNR indicates a value less than or equal to 1, indicating that the noise value is larger than that of the signal.
  • the slopes in gray are 22028 and 8553.1
  • the slopes in red are 27797 and 9791.7
  • the slopes in green are 17251
  • the slopes of 6820 and Blue are 31628 and 14473, indicating that the slope of the direct detection method is larger than that of the indirect detection method at all values of Gray, R, G, and B.
  • FIG. 9 is a graph comparing the conversion method of the radiation signal to the image signal, (a) the brightness of the pixel according to the tube voltage when using the direct detection method in the front camera, and (b) the tube voltage when using the direct detection method in the front camera. These are graphs showing the number of pixels according to (c) the brightness of pixels according to the tube voltage when using the indirect detection method in the rear camera and (d) the number of pixels according to the tube voltage when using the indirect detection method in the rear camera.
  • the slopes of gray in (a) and (b) using the direct detection method in the front camera are 22028, 1218.7, and the slope of Red.
  • the slopes of 27797 and 1120.5, Green were 17251 and 809.27, and Blue was 31628 and 1288.1.
  • the gray slopes are 413784 and 42623
  • the red slopes are 106858 and 13562
  • the green slopes are 343870 and 49140
  • the blue slopes are 2E + 06 and Found to be 17338.
  • the rear camera is more sensitive to radiation because the matrix size is 1080 (width) x 1920 (length), which is about 6 times wider than the front camera's 640 (width) x 480 (length).
  • the experimental results show that the noise of CMOS devices is very large due to the large area, the signal-to-noise ratio of X-rays is 1.13, 1.33, 1.09, 1.29, which is significantly lower than the front camera's 26635, 35700, 7266, and 42570.
  • FIGS. 10 are graphs showing a relationship between pixel intensity and absorbed dose according to dose in a gray model.
  • the pixel intensity and the absorbed dose value of the ion chamber in the gray model of the smart phone are fixed by the direct detection method, and the tube voltage is fixed at 80 kV and the irradiation time is 50 ms, and the tube current is 20 mA to 250 mA.
  • both values increased very linearly with tube current.
  • the pixel intensity showed a very linear relationship with the absorbed dose value of the ion chamber, and the pixel intensity increased by 2670 as the absorbed dose of the ion chamber increased by 1 ⁇ G in the absorbed dose range of 80 ⁇ Gy to 1.3 mGy.
  • 11A, 11B, and 11C are graphs illustrating gamma ray detection experimental examples.
  • the reaction ratio of visible light is higher than that of X-rays or gamma rays, which are high in energy. Therefore, a high density of LGSO scintillation crystals can be combined directly in front of the CMOS semiconductor device to increase radiation detection efficiency.
  • CMOS semiconductor devices mounted in smartphone cameras are noisy due to ambient heat and quantum efficiency for visible light is much lower than CCD semiconductor devices used in DR. Due to the low quantum efficiency of the CMOS semiconductor device of the smartphone camera, the glare of the beta ray with the maximum kinetic energy of 596 keV emitted from the Lu-176 isotope contained in the LGSO scintillation crystal was not detected.
  • the pixel intensity and the pixel number were used as a factor for measuring the degree of response to the radiation from the image signal.
  • the pixel number if the brightness of the pixel exceeds the threshold value previously calculated from the noise image, the pixel brightness is 1; If it is less than the maximum brightness reference value is calculated by assigning to 0, as the number of incident X-ray photons increases, the number of pixels reacting accordingly is not linear.
  • the pixel intensity method which is the sum of the brightnesses of pixels that cross threshold values, enables 8-bit information of a single pixel to increase linearity with respect to dose, thus indicating the X-ray response characteristics of CMOS devices by X-rays. It may be more suitable for paying.
  • the noise and radiation response of the gray and RGB color models showed the lowest pixel noise and the best R2 value for the dose compared to blue and red.
  • the characteristics of the R, G, and B color information can be confirmed, such as the slope of the dose is highest, and since the color information of the smartphone is calculated as a YUV value rather than an RGB value, It would be appropriate to use the contrast information Gray.
  • the gamma rays of 662 keV energy emitted from Cs-137 as well as the radiation of the photon energy of 100 keV or less, such as X-rays, can be detected using a smartphone.
  • 511 keV of extinction radiation from positron emitting nuclides, which are commonly used in nuclear medicine, may be measured.
  • the method for detecting the light dose of ionizing radiation using the camera of the smartphone of the present invention can also detect gamma rays and efficiently manage the exposure dose of the patient and medical staff due to X-rays used in the medical field.
  • a scintillator such as a scintillation crystal that emits light when it reacts to radiation, may be attached to a camera sensor to further improve X-ray detection efficiency.
  • the method for detecting the amount of ionizing radiation using the camera of the smartphone of the present invention can perform this. It can be implemented in the form of applications in the smartphone that can.
  • the present invention may include a smart phone that can perform the method for detecting the amount of ionizing radiation using the camera of the smart phone according to various embodiments of the present invention described above with reference to FIGS.

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Abstract

La présente invention concerne un procédé de détection de l'intensité de rayonnement d'un rayonnement ionisant au moyen de la caméra d'un smartphone, et un smartphone capable de mettre en œuvre ledit procédé, le procédé pouvant comprendre : une étape de filtrage de transmission de lumière d'un premier spectre dans la direction d'une caméra d'un smartphone, et blocage de la lumière d'un deuxième spectre ; une étape de génération d'informations vidéo de réglage de la caméra du smartphone en mode vidéo et génération d'informations vidéo ; et une étape de calcul d'intensité de rayonnement de, pour chaque trame des informations vidéo, sélection de l'un ou plusieurs du nombre de pixels qui dépassent une valeur de référence de luminosité minimale qui peuvent répondre à la lumière du premier spectre, la luminosité des pixels, et le total additionné du nombre et de la luminosité des pixels, calcul d'une quantité de réponse totale pour toutes les trames, et utilisation de la quantité de réponses totale pour calculer la quantité de lumière du premier spectre qui est reçu.
PCT/KR2015/012093 2015-10-21 2015-11-11 Procédé de détection d'intensité de rayonnement de rayonnement ionisant au moyen de la caméra d'un smartphone, et smartphone capable de mettre en œuvre ledit procédé WO2017069321A1 (fr)

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