WO2016068449A1 - Système de lecture d'images tomographiques, et procédé de lecture d'images tomographiques - Google Patents

Système de lecture d'images tomographiques, et procédé de lecture d'images tomographiques Download PDF

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WO2016068449A1
WO2016068449A1 PCT/KR2015/007218 KR2015007218W WO2016068449A1 WO 2016068449 A1 WO2016068449 A1 WO 2016068449A1 KR 2015007218 W KR2015007218 W KR 2015007218W WO 2016068449 A1 WO2016068449 A1 WO 2016068449A1
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image
pixel difference
pixel
tomography
value
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PCT/KR2015/007218
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English (en)
Korean (ko)
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정복동
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(주)헬스허브
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]

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  • the present invention relates to a tomography image reading processing system and a tomography image reading processing method, and more particularly, to reduce overall processing data and storage capacity of a tomography image, and extracting image difference values from a series of tomography images.
  • the patient's lesion location can be read quickly and easily, and the reading ignore range can be set to reduce the readout data and storage capacity of the tomography image and increase the readout speed to improve the overall readout efficiency of the tomography image.
  • a tomography image reading processing system and a tomography image reading processing method that can be improved.
  • tomography refers to an X-ray examination of only one section of the human body, which can be performed as a detailed examination of microscopic lesions that are unknown to simple imaging in one direction. will be.
  • tomography The principle of tomography is to place the center of motion of the axis on the section to be photographed as an example, and then take pictures with the tube and the film on the opposite side of the axis. I) is taken clearly and everything except the surface becomes blurry. In this way, tomography at intervals of 1-2 cm reveals fine lesions. In addition, it is possible to take photographs of the front and rear, left and right longitudinal sections or the cross section.
  • a plurality of x-ray radiographic views of an object produce projection data sets.
  • Each line of projection data represents an integration of density values of internal structures in the plane or slice of the subject.
  • a CT imaging system From the plurality of projection data sets, a CT imaging system generates two-dimensional cross-sectional images and three-dimensional images of the internal structures of the object under test.
  • the images are obtained through well known image reconstruction algorithms on projection data sets. Such techniques for reconstructing cross-sectional images or three-dimensional images from a plurality of projection data sets are commonly referred to as "tomography". 1 shows a tomography image obtained through tomography.
  • imaging medical devices such as CT / MR have been developed to take a tomography image every narrow gap (for example, several mm) of continuous positions. As the gap is made smaller, the number and capacity of the acquired tomography images increase.
  • CT / MR imaging results in a smaller gap, a higher resolution in a cross section, an imaging section, and a higher resolution that a unit pixel can display. That is, the capacity and the number to be processed and transmitted are increased, which means that the pixel information to be identified by the image reader increases exponentially due to the increase in the capacity and the number to be processed and transmitted.
  • the reading accuracy is higher but adjacent pixels and adjacent tomography are increased.
  • the minute change of the pixel value of the same position of the photographed image has a problem that it is difficult to visually identify.
  • the resolution of the recent unit image increases, the pixel value expressing section increases, and the number of generated images in the section increases while reducing the thickness (section) of the unit image.
  • the capacity of the image to be stored, processed, transmitted, and read-marked rapidly increases, thereby increasing the burden of data storage, thereby reducing processing efficiency.
  • the present invention has been proposed to solve the above-mentioned problems, and reduces the overall processing data and storage capacity of the tomography image, and extracts the image difference value from the series of tomography images to quickly determine the position of the patient's lesion.
  • An object thereof is to provide a photographed image reading processing system and a tomographic image reading processing method.
  • the present invention minimizes the data volume of tomography images obtained through computed tomography (CT) imaging or magnetic resonance (MR) imaging to reduce processing data and storage capacity of tomography images, and to quickly recover tomography images.
  • CT computed tomography
  • MR magnetic resonance
  • Another object of the present invention is to provide a tomography image reading processing system and a tomography image reading processing method which can improve the data processing efficiency of an overall tomography image by increasing the processing speed by performing the same.
  • a system for reading out an image obtained through tomography comprising: a tomography image receiving / storing unit for storing a tomography image; A pixel difference image generation unit configured to extract and generate a pixel difference image having a pixel difference value with respect to a time series image from the tomographic image stored in the tomography image receiving / storing unit; And a readout display unit for highlighting pixel differences in a series of tomography images displayed based on values according to pixel differences of n images received from the pixel difference image generator. do.
  • the pixel difference image processing unit selects a reference image and an adjacent image with respect to a time series image based on meta information of an image including an image segmentation value, an image number, image composition information, and pixel information of the image.
  • An image comparison unit for comparing A pixel difference value extracting unit configured to sequentially extract pixel differences between the reference image and the adjacent image compared by the image comparing unit; And a difference image generating unit generating a difference image based on the pixel difference extracted by the pixel difference value extracting unit.
  • the image comparison unit compares the n-th reference image and the n + 1 th adjacent image
  • the pixel difference value extraction unit compares the pixel difference value with respect to the comparison image compared in the image comparison unit. And extract the pixel difference value based on the generated pixel difference value, and the difference image generation unit generates a difference image according to the pixel value.
  • the image comparison unit extracts and compares the image of a specific section or a cumulative image for each specific section, and the pixel difference value extracting unit accumulates the specific section of the image or the specific section compared in the image comparison section
  • the pixel difference value is generated for the image, and the pixel difference value is extracted based on the generated pixel difference value, and the difference image generating unit is preferably configured to generate a difference image according to the pixel value.
  • the image comparison unit partially compares a designated or preselected region of interest (ROI), and the pixel difference value extracting unit generates a pixel difference value for the image of the specific region.
  • the pixel difference value is extracted based on the generated pixel difference value, and the difference image generator is configured to generate a difference image according to the pixel value.
  • ROI region of interest
  • the pixel difference value extracting unit sets a position coordinate for each pixel, extracts a pixel difference value by comparing a pixel of a reference image and an adjacent image at the set position coordinates, and the difference image generating unit extracts a pixel difference. It is desirable to create a difference image with a value according to.
  • an initial coordinate value of the position coordinate at which the first pixel difference occurs is provided from a reference coordinate, and then to a position coordinate at which the pixel difference occurs.
  • the coordinate value is preferably calculated based on the initial coordinate value.
  • the pixel difference image processing unit may further include an extraction value ignore range setting unit that ignores the extracted value when the range of the value extracted by the pixel difference value extracting unit is within a preset range. .
  • a compression / storing unit for compressing and storing data of n tomography images and n-1 difference images generated by the pixel difference image processing unit.
  • the readout display unit receives n-1 difference images of the reference image and the reference image, and sequentially connects and integrates the reference image and n-1 difference images of the n tomography images.
  • a restoration unit configured to restore the;
  • a read identification unit for highlighting the series of n-1 tomographic images reconstructed based on the pixel difference value extracted by the pixel difference image processing unit.
  • the read identification part highlights a black-and-white color or a gradient of a specific color or a color having a different chromaticity according to the size of the pixel difference value.
  • the readout display portion may further include an enlargement execution unit for enlarging a specific reconstructed image or designating and enlarging a specific region.
  • a method for reading out an image obtained through tomography comprising: receiving tomography images transmitted by tomography and storing the tomography images and storing the tomography images; A pixel difference image generation step of processing to extract and generate a pixel difference image having a pixel difference value with respect to a time series image from the tomography image stored in the tomography image storing step; And a readout display step of highlighting the pixel difference based on a value according to the pixel difference for the n images received in the pixel difference image generation step.
  • the tomography image storing step receives n tomography images obtained through tomography and stores them in an image file format
  • the pixel difference image processing step includes image segmentation values, image numbers, and images.
  • An image comparison comparing the reference image and the adjacent image with respect to the time series image based on the meta information of the image including the configuration information and the pixel information of the image; Sequentially extracting pixel differences between the reference image and the adjacent image compared in the image comparison; It is preferable to include generating a difference image based on the pixel difference extracted in the pixel difference value extraction.
  • the image comparison is compared with respect to the n-th reference image and the n + 1-th adjacent image, the pixel difference value extraction generates a pixel difference value for the comparison image, the generated pixel The pixel difference value is extracted based on the difference value, and the difference image generation is preferably performed to generate only the difference image according to the pixel value.
  • the image comparison extracts and compares a reference image of a specific section and a neighboring image or a cumulative image of a reference image and a neighboring image of a specific section, and extracting the pixel difference value is a pixel with respect to the comparison image.
  • the difference value is generated, and the pixel difference value is extracted based on the generated pixel difference value, and the difference image generator is preferably configured to generate a difference image according to the pixel value.
  • the image comparison partially compares a designated reference or predetermined reference image with a region of interest (ROI) of an adjacent image, and the pixel difference value extraction is performed on the image of the specific region.
  • ROI region of interest
  • the pixel difference value is generated, the pixel difference value is extracted based on the generated pixel difference value, and the difference image generator is configured to generate the difference image according to the pixel value.
  • the pixel difference value extraction is to set the position coordinates for each pixel, extract the pixel difference value by comparing the pixel of the reference image and the adjacent image at the set position coordinates, the position where the pixel difference occurs In the case where there are a plurality of coordinates, an initial coordinate value for a position coordinate where an initial pixel difference occurs from a reference coordinate is given, and a coordinate value is calculated based on the initial coordinate value for a position coordinate after which a pixel difference occurs. desirable.
  • the method further comprises a compression / storing step of compressing and storing the data of the received n tomography images and the data of n-1 pixel difference images generated in the pixel difference generating step, wherein the pixel
  • the difference image is preferably made to have a value for the coordinate and a data size assigned to the pixel difference value.
  • the pixel difference image processing step may be configured to exclude the extracted pixel difference value when the range of the pixel difference value extracted in the pixel difference value extraction step is within a preset range.
  • the readout display step receives n-1 difference images of the reference image and the reference image, and sequentially connects and integrates the reference image and n-1 difference images to n tomography images. Restoring the image; And a read identification step of highlighting the series of n-I tomographic images restored based on the pixel difference value extracted in the pixel difference image processing step.
  • the read-identifying step is preferably highlighted in black and white or in a gradient of a specific color, or in a color having a different chromaticity according to the magnitude of the pixel difference value.
  • the read-out step preferably includes enlarging a specific reconstructed image or enlarging a specific region.
  • Tomography image reading processing system and tomography image reading processing method by extracting the image difference value from a series of tomography images taken by the tomography equipment to quickly and easily read the position of the patient lesion By processing, and setting the range of disregarding the extraction value, it is possible to reduce the read processing data and storage capacity of the tomography image and to increase the read processing speed to improve the overall read processing efficiency of the tomography image.
  • the present invention is to minimize the data capacity of the tomography image to reduce the processing data and storage capacity of the tomography image, and to quickly execute the restoration of the tomography image to increase the processing speed to increase the overall tomography image data There is an effect that can improve the processing efficiency.
  • 1 is a view showing a tomography image obtained through tomography.
  • FIG. 2 is a block diagram schematically showing the configuration of a tomography image reading processing system according to the present invention.
  • FIG. 3 is an exemplary view showing an example of a read identification method by a tomography image reading processing system according to the present invention.
  • FIG. 4 is an explanatory diagram schematically showing an outline of a processing procedure by the tomography image reading processing system according to the present invention.
  • FIG. 5 is a conceptual diagram illustrating an entire process of tomography images according to the present invention.
  • FIG. 6 is a flowchart showing a reading processing method of a tomography image according to the present invention.
  • FIG. 7 is an example factor used in the pixel difference image generation step in the tomography image data processing method according to the present invention, (a) is an example showing a color display and pixel values / bits, (b) is Here is an example showing the position coordinates for each pixel.
  • FIG. 8 is an explanatory diagram illustrating an example of extracting a pixel difference image that is executed in a pixel difference image generation step in the tomography image data processing method according to the present invention.
  • ... unit ... unit
  • ... module etc. described in the specification may mean a unit for processing at least one function or operation.
  • tomography image reading processing system and a tomography image reading processing method according to a preferred embodiment of the present invention will be described with reference to the accompanying drawings.
  • the tomography image data processing system and tomography image data processing method described below are implemented through a hardware configuration such as a computer including each component described below and software and / or software capable of performing the operations thereof.
  • a hardware configuration such as a computer including each component described below and software and / or software capable of performing the operations thereof.
  • FIGS. 2 is a block diagram schematically showing the configuration of a tomography image reading processing system according to the present invention
  • FIG. 3 is an exemplary view showing an example of a reading identification method by a tomography image reading processing system according to the present invention
  • 4 is an explanatory diagram schematically showing a process of the processing by the tomography image reading processing system according to the present invention
  • FIG. 5 is a conceptual diagram showing the entire processing process of the tomography image according to the present invention.
  • n tomography images (images) transmitted by tomography are received, and the received tomography images (images) are received.
  • Tomography image (image) receiving / storing unit 100 for storing;
  • a pixel difference image generating unit (200) for processing to extract and generate a pixel difference image having a pixel difference value with respect to a time series image from the tomography image stored in the receiving / storage unit (100);
  • a readout display unit 300 for highlighting a pixel difference with respect to a series of tomography images displayed on a display such as a monitor based on a value according to the pixel difference of n images received from the pixel difference image generator 200. It includes.
  • the reception / storage unit 100 receives and receives n tomography images (images) obtained through tomography such as CT or MR imaging, and receives the received tomography images (receive files). Is stored in the storage 110 (see FIG. 5) in the form of a file (image file).
  • the pixel difference image processor 200 compares a reference image and an adjacent image with respect to a time series image based on meta information of an image including an image segmentation value, an image number, image composition information, and the like, and pixel information of the image.
  • a pixel difference value extracting unit 220 for sequentially extracting pixel differences between the reference image and the adjacent image compared by the image comparing unit 210;
  • a difference image generator 230 generating a difference image based on the pixel difference extracted by the pixel difference value extractor 220.
  • the image comparison unit 210 of the pixel difference image processing unit 200 may be, for example, a reference image (reference image) with respect to the nth image number (reference image number) and n + 1th (or n ⁇ ).
  • the pixel difference value is extracted based on the difference, and the difference image generator 230 is configured to generate a difference image according to the pixel value.
  • pixel difference extraction is performed by setting a position coordinate for each pixel, and comparing pixels of a reference image (reference image or reference image) and a comparison image (comparative image or adjacent image) at the set position coordinates.
  • the pixel difference value is extracted, and the difference image generator 230 generates a difference image (difference image) based only on the pixel difference value.
  • the pixel difference value extraction unit 200 extracts the pixel difference value as an example.
  • the maximum value of the first extracted pixel difference values may be secondly extracted to calculate and extract a data storage unit.
  • the extraction of the pixel difference value is only a difference value between the corresponding position coordinate where the pixel difference occurs and the minimum, median, and maximum values (for example, in units of bits) given for white, gray, and black in the corresponding position coordinate. Can be extracted.
  • sequence coordinate value for the index coordinate (order coordinate value) is given to the position coordinate at which the first pixel difference occurs from the reference coordinate, and then the pixel difference occurs.
  • sequence coordinate values are calculated based on the sequence coordinate values. An example of this is described in detail in the tomography image reading processing method below.
  • the image comparison unit 210 of the pixel difference image processor 200 basically compares the entire image of the reference image n with the adjacent images n-1 and n + 1.
  • the image comparison unit 210 of the pixel difference image processing unit 200 may be configured to extract and compare an image of a specific section or a cumulative image for each specific section.
  • the image comparison unit 210 of the pixel difference image processor 200 may be configured to partially compare a user's selection or a predetermined region of interest (ROI).
  • ROI region of interest
  • the pixel difference value extractor 220 generates a pixel difference value for an image of a specific section, a cumulative image for each specific section, or a specific region compared by the image comparator 210, and generates the pixel difference value.
  • the pixel difference value is extracted based on the difference, and the difference image generator 230 is configured to generate a difference image according to the pixel value.
  • the pixel difference image processing unit 200 ignores the extracted value when the range of the value (extraction pixel difference value) extracted by the pixel difference value extraction unit 220 is within a preset range set by the user.
  • the method further includes an extraction value ignore range setting unit 240 (except the extracted value).
  • the extracted value ignore range setting unit 240 does not extract the difference value when the difference value is about 0 to ⁇ 20, and thus is excluded from the highlight display in the highlighting process to be described later, and within ⁇ 30
  • the difference value may be highlighted in black and white or a specific color gradient or different colors. Accordingly, the present invention ignores (excludes) very small pixel differences through the extraction value ignore range setting unit 240 because it is impossible to visually identify them, thereby reducing data processing capacity and improving processing speed. Can increase the processing efficiency of the highlighted display.
  • the present invention also compresses and stores the data (file) of the received image, and compresses and stores the data (file) of the difference image generated by the pixel difference image processing unit 200 (difference image generator 230).
  • Storage unit 400 further includes.
  • the compression / storage unit 400 compresses and stores the data of the received n tomography images and the data of n-1 difference images (image files) generated by the pixel difference image processing unit 200.
  • the readout display unit 300 receives n-1 difference images of the reference image (reference image) and the reference image, and sequentially connects and integrates the reference image and n-1 difference images of the n tomography layers.
  • a restoration unit 310 configured to restore the captured image; And highlighting a series of n-1 tomographic images reconstructed based on the pixel difference value extracted by the pixel difference image processing unit 200 (pixel difference value extracting unit 220) and displaying them on a display (for example, And a read identification unit 320 for displaying the output in a matrix form.
  • the read identification unit 320 may be displayed in a gradient of a black and white or a specific color, that is, a step contrast of black and white or color, as shown in the example of FIG. 3 according to the magnitude (change value) of the pixel difference value.
  • the color is displayed in different colors (for example, yellow, blue, and red), preferably including step-by-step contrast. Accordingly, even if the image has a change in the fine pixel difference value and is difficult to visually identify, the lesion state or position can be clearly read through the highlighting according to the pixel difference value.
  • the readout display unit 300 further includes a magnification executing unit 330 that can enlarge a specific reconstructed image or enlarge a specific region (such as a lesion region) by designating a range.
  • a magnification executing unit 330 that can enlarge a specific reconstructed image or enlarge a specific region (such as a lesion region) by designating a range.
  • the magnification execution unit 330 may be executed by receiving a 2 click command. At this time, in both cases it is made to be reduced / expanded through the scroll command.
  • FIG. 6 is a flowchart showing a reading processing method of a tomography image according to the present invention.
  • the tomography image storing step (S100) receives and receives tomography images (images) obtained by tomography such as CT or MR imaging, and receives the tomography images (received files). ) As a file (image file).
  • the pixel difference image processing step (S200) includes comparing a reference image and an adjacent image with respect to a time series image based on meta information of an image including an image segmentation value, an image number, image composition information, and the like, and pixel information of the image.
  • a difference image generation step S230 of generating a difference image based on the pixel difference extracted in the pixel difference value extraction step.
  • the image comparison step S210 of the pixel difference image processing step S200 may include, for example, a reference image (reference image) for the nth image number (reference image number) and an n + 1th image number (adjacent image). ).
  • the pixel difference value extracting step (S220) extracts a pixel difference value based on the pixel difference value generated by generating a pixel difference value with respect to the comparison image to be compared, and the difference image generating step (S230) It is made to generate an image.
  • pixel difference extraction sets position coordinates for each pixel, and extracts pixels of the reference image (reference image or reference image) and the comparison image (comparative image or adjacent image) at the set position coordinates. By comparison, the pixel difference value is extracted.
  • FIGS. 7 and 8 A specific example of the pixel difference value extraction step S220 will be described with reference to FIGS. 7 and 8.
  • 7 is an example of a factor used for extracting pixel difference values in the tomography image reading processing method according to the present invention, where (a) shows color display and pixel values / bits, and (b) shows pixels. It shows the star position coordinate.
  • 8 is an explanatory diagram illustrating an example of a process of extracting a pixel difference image executed in a pixel difference image generating step in the tomography image reading processing method according to the present invention.
  • step 255 implemented with 8 bits will be described.
  • the present invention is the same for the pixel value section of step 65536 composed of 16 bits. Is applied.
  • the pixel difference value extracting step (S220) extracts a pixel difference with respect to the time series image based on the meta information of the image including the image segmentation value, the image number, the image composition information, and the like, and the pixel information of the image. Calculate the value of
  • the pixel difference value extraction step (S220) for example, the reference image (reference image) for the n-th image number (reference image number) and the comparison image (neighbor image) for the n + 1st image number ) And generate a difference image by extracting the pixel difference based on the generated pixel difference value (S230).
  • the extraction of the pixel difference value sets a position coordinate for each pixel, and the reference image or the reference image (reference image) and the comparison image or adjacent image (A pixel difference value is extracted from the position coordinates at which the pixel difference occurs by comparing the pixels of the comparison image, and a difference image (difference image) is generated based only on the pixel difference value.
  • the extraction of the pixel difference value is the difference between the corresponding position coordinates at which the pixel difference occurs and the minimum, median and maximum values (for example, in units of bits) assigned to white, gray and black in the corresponding position coordinates. Only values will be extracted.
  • the position coordinates (3, 3) or the 9th position and the position coordinates The pixel difference occurs at (4,4) or 10th, and the pixel difference is based on the value (0) of 8-bit white, respectively, in the position coordinates (3, 3) and (4, 4) of 255 and 128, respectively. Pixel value difference occurs.
  • a value (sequence coordinate value: +9) for the index coordinate (the sequence coordinate value) is given to the position coordinate at which the first pixel difference occurs from the reference coordinate.
  • the position coordinate at which is generated is calculated from the sequence coordinate value, and the sequence coordinate value (+1 in the case of position coordinates (4, 4)) is given.
  • the pixel difference image processing step S200 may be performed when the range of the value (extracted pixel difference value) extracted in the pixel difference value extraction step S220 is within a preset range set by the user. It may further include the step of ignoring the extraction value (except the extracted value) to ignore. Accordingly, the present invention can reduce the data processing capacity and improve the processing speed by ignoring (excluding) a minute pixel difference through the extraction value disregarding step.
  • the present invention compresses and stores the data (file) of the received image, and compresses and stores the data (file) of the difference image generated in the pixel difference image processing step S200 (pixel difference image generation step S220). It further comprises a compression / storage step (S400).
  • the compression / storage step (S400) compresses and stores the received n tomography images and the n-1 difference images (image files) generated by the pixel difference image processing unit 200.
  • the read display step (S300) is received by receiving the reference image (reference image) and n-1 difference image for the reference image, and by combining and integrating the reference image and n-1 difference image sequentially
  • a reconstruction step (S310) configured to reconstruct the tomography image; And highlighting a series of n-1 tomographic images reconstructed based on the pixel difference value extracted in the pixel difference image processing step S200 (pixel difference value extracting step S220). output identification in the form of a matrix).
  • the read identification step (S320) may be displayed in a gradient of a black and white or a specific color, that is, a step contrast of black and white or a color, as shown in the example of FIG. 3 according to the magnitude (change value) of the pixel difference value.
  • the color is displayed in a different color (for example, yellow, blue, red), preferably in a multicolored color including a step contrast. Accordingly, even if the image has a change in the fine pixel difference value and is difficult to visually identify, the lesion state or position can be clearly read through the highlighting according to the pixel difference value.
  • the readout display step S300 may further include an enlargement execution step of enlarging a specific reconstructed image or enlarging by specifying a range of a specific area (lesion area, etc.).
  • this enlargement execution step (S330) the magnification of the specific restoration image may be executed by receiving a two-click command, and in the case of enlarging a specific portion, the range may be immediately expanded so that a specific region may be designated.
  • programmed At this time, in both cases it is made to be reduced / expanded through the scroll command.
  • the image comparison step (S210) basically describes the comparison of the entire image of the reference image (n) and the adjacent image (n-1, n + 1), but the image of a specific section or The cumulative image for each section may be extracted and compared.
  • the image comparing step S210 may be performed to partially compare the user's selection or a predetermined region of interest (ROI).
  • the reading processing system and reading processing method of the tomography image according to the present invention by extracting the image difference value from the series of tomography images taken by the tomography equipment to quickly and easily read the position of the patient lesion By processing, and setting the range of disregarding the extraction value, it is possible to reduce the read processing data and storage capacity of the tomography image and increase the read processing speed to improve the overall read processing efficiency of the tomography image.
  • the present invention is to minimize the data capacity of the tomography image to reduce the processing data and storage capacity of the tomography image, and to quickly execute the restoration of the tomography image to increase the processing speed to increase the overall tomography image data Processing efficiency can be improved.

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Abstract

La présente invention vise à fournir un système de lecture d'images tomographiques et un procédé de lecture d'images tomographiques, le système de lecture d'images tomographiques dans lequel les données totales traitées et la capacité de stockage d'images tomographiques sont diminuées, un site de lésion d'un patient est rapidement et facilement lu par extraction d'une valeur de différence d'image provenant d'une série d'images tomographiques, et les données lues et la capacité de stockage des images tomographiques sont diminuées, et la vitesse de lecture est augmentée par réglage d'une gamme d'exemptions de lectures, ce qui renforce l'efficacité globale de lecture des images tomographiques. Pour atteindre ce but, la présente invention concerne un système de lecture d'images tomographiques, pour lire une image obtenue au moyen d'une tomographie, le système comprenant : une unité de réception/stockage des images tomographiques, pour stocker une image tomographique ; une unité de production d'une image des différences de pixels, pour extraire, de l'image tomographique qui est stockée dans l'unité de réception/stockage des images tomographiques, une image des différences de pixels qui présente une valeur des différences de pixels par rapport à une image en série temporelle, et sa production ; et une unité d'affichage des lectures, pour renforcer et afficher les différences de pixels sur une série d'images tomographiques affichées sur la base de la valeur des différences de pixels de n images qui ont été reçues de l'unité de production d'une image des différences de pixels.
PCT/KR2015/007218 2014-10-28 2015-07-10 Système de lecture d'images tomographiques, et procédé de lecture d'images tomographiques WO2016068449A1 (fr)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002010062A (ja) * 2000-06-22 2002-01-11 Hitachi Medical Corp 画像構成装置
JP2006006797A (ja) * 2004-06-29 2006-01-12 Toshiba Corp 医用画像データ圧縮方法、及び医用画像データ保管装置
JP2012030048A (ja) * 2010-07-02 2012-02-16 Toshiba Corp 超音波診断装置、画像処理装置、及び解析プログラム
KR20140092437A (ko) * 2012-12-27 2014-07-24 삼성전자주식회사 엑스선 영상 장치 및 엑스선 영상 장치의 제어 방법

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002010062A (ja) * 2000-06-22 2002-01-11 Hitachi Medical Corp 画像構成装置
JP2006006797A (ja) * 2004-06-29 2006-01-12 Toshiba Corp 医用画像データ圧縮方法、及び医用画像データ保管装置
JP2012030048A (ja) * 2010-07-02 2012-02-16 Toshiba Corp 超音波診断装置、画像処理装置、及び解析プログラム
KR20140092437A (ko) * 2012-12-27 2014-07-24 삼성전자주식회사 엑스선 영상 장치 및 엑스선 영상 장치의 제어 방법

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