Image processing apparatus, method, program product, and recording medium

Abstract

Provided are an image processing device, a method, a program product, and a recording medium capable of analyzing a tissue of interest for each component. An image processing device that processes an image obtained by an X-ray computed tomography device capable of measuring an effective atomic number is provided with a processor. The processor performs: a process for displaying, on the display unit, at least one of a plurality of images obtained by the X-ray computed tomography device; accepting setting of a first area on the image displayed on the display unit; accepting setting of an effective atomic number as an analysis object; extracting pixels including the effective atomic number component in the first region, and extracting a second region including the effective atomic number component in the first region; determining the shape of the second region; and displaying the shape of the second region on a display unit.

Description

Technical Field

[0001] The present invention relates to an image processing device, method and program, and more particularly to an image processing device, method and program for processing images obtained by an X-ray computed tomography (CT) device (X-ray CT device) capable of measuring effective atomic number. Background Art

[0002] Patent Document 1 describes a technique for identifying lung nodule candidates and determining their shapes, etc., based on images obtained by an X-ray CT apparatus.

[0003] Patent Document 1: Japanese Patent Application Laid-Open No. 2012-147930

[0004] Diseases that cause stones, such as urinary calculi, are classified into treatment methods and prevention methods based on the composition of the stones. However, the technique described in Patent Document 1 cannot analyze the shape of the tissue of interest for each component. Summary of the Invention

[0005] One embodiment of the technology according to the present invention provides an image processing device, method, and program for analyzing a tissue of interest for each component.

[0006] (1) An image processing device that processes an image obtained by an X-ray computed tomography device capable of measuring effective atomic numbers,

[0007] The image processing device includes a processor,

[0008] The processor performs the following processing:

[0009] displaying at least one of a plurality of images obtained by the X-ray computed tomography apparatus on a display unit;

[0010] Accepting the setting of the first area on the image displayed on the display unit;

[0011] Accepting the setting of the effective atomic number of the analysis object;

[0012] Extracting pixels containing a component having an effective atomic number within the first region, thereby extracting a second region containing a component having an effective atomic number within the first region;

[0013] determining the shape of the second region; and

[0014] The shape of the second area is displayed on the display unit.

[0015] (2) The image processing device according to (1), wherein

[0016] The processor performs the following processing:

[0017] measuring the size of the second area; and

[0018] The shape and size of the second area are displayed on the display unit.

[0019] (3) The image processing device according to (1) or (2), wherein:

[0020] The processor performs the following processing:

[0021] Accepts the setting of the effective atomic number range to be analyzed.

[0022] (4) The image processing device according to (3), wherein

[0023] The processor performs the following processing:

[0024] The value of the effective atomic number serving as a reference and the setting of the range based on the value are accepted, thereby accepting the setting of the range of the effective atomic number serving as the analysis object.

[0025] (5) The image processing device according to any one of (1) to (4), wherein

[0026] The processor performs the following processing:

[0027] displaying a pre-registered effective atomic number on a display unit as an effective atomic number corresponding to a specific component; and

[0028] By accepting a selection from the effective atomic numbers displayed on the display section, the setting of the effective atomic number to be analyzed is accepted.

[0029] (6) The image processing device according to (5), wherein

[0030] The processor performs the following processing:

[0031] Information on the component corresponding to the effective atomic number is displayed on the display unit in association with the effective atomic number.

[0032] (7) The image processing device according to (5) or (6), wherein

[0033] The processor performs the following processing:

[0034] The registration of the effective atomic number displayed on the display section is accepted.

[0035] (8) The image processing device according to any one of (1) to (7), wherein

[0036] The processor performs the following processing:

[0037] Accept multiple first area settings;

[0038] For each first region, the setting of the effective atomic number to be analyzed is accepted;

[0039] For each first region, extract the second region;

[0040] For each first region, determining the shape of the second region; and

[0041] The shape of the second area is displayed on the display unit for each first area.

[0042] (9) The image processing device according to (8), wherein

[0043] The processor performs the following processing:

[0044] For each first region, measuring the size of the second region; and

[0045] The shape and size of the second area are displayed on the display unit for each first area.

[0046] (10) The image processing device according to any one of (1) to (9), wherein

[0047] The processor performs the following processing:

[0048] receiving a setting of a range of images to be analyzed from a plurality of images obtained by an X-ray computed tomography apparatus;

[0049] Extracting a second region from the image within a set range;

[0050] determining the three-dimensional shape of the second region; and

[0051] The three-dimensional shape of the second region is displayed on the display unit.

[0052] (11) The image processing device according to (10), wherein

[0053] The processor performs the following processing:

[0054] measuring the volume of the second region, thereby measuring the size of the second region; and

[0055] The three-dimensional shape and volume of the second region are displayed on the display unit.

[0056] (12) The image processing device according to (10) or (11), wherein

[0057] The processor performs the following processing:

[0058] displaying a three-dimensional image generated from a plurality of images obtained by an X-ray computed tomography apparatus on a display unit; and

[0059] The setting of the first area is received on the three-dimensional image displayed on the display unit.

[0060] (13) The image processing device according to any one of (1) to (12), wherein

[0061] The processor performs the following processing:

[0062] The three-dimensional shape of the second region is displayed on a three-dimensional image generated from a plurality of images obtained by an X-ray computed tomography apparatus.

[0063] (14) The image processing device according to any one of (1) to (13), wherein

[0064] The X-ray computed tomography apparatus is an X-ray computed tomography apparatus capable of performing photon counting computed tomography.

[0065] (15) The image processing device according to any one of (1) to (14), wherein

[0066] The image obtained by the X-ray computed tomography device is an effective atomic number image.

[0067] (16) An image processing method for processing an image obtained by an X-ray computed tomography apparatus capable of measuring effective atomic number, the image processing method comprising the following steps:

[0068] displaying at least one of a plurality of images obtained by the X-ray computed tomography apparatus on a display unit;

[0069] Accepting the setting of the first area on the image displayed on the display unit;

[0070] Accepting the setting of the effective atomic number of the analysis object;

[0071] Extracting pixels containing a component having an effective atomic number within the first region, thereby extracting a second region containing a component having an effective atomic number within the first region;

[0072] determining the shape of the second region; and

[0073] The shape of the second area is displayed on the display unit.

[0074] (17) An image processing program for processing an image obtained by an X-ray computed tomography apparatus capable of measuring effective atomic number, the image processing program causing a computer to implement the following functions:

[0075] displaying at least one of a plurality of images obtained by the X-ray computed tomography apparatus on a display unit;

[0076] Accepting the setting of the first area on the image displayed on the display unit;

[0077] Accepting the setting of the effective atomic number of the analysis object;

[0078] Extracting pixels containing a component having an effective atomic number within the first region, thereby extracting a second region containing a component having an effective atomic number within the first region;

[0079] determining the shape of the second region; and

[0080] The shape of the second area is displayed on the display unit.

[0081] Effects of the Invention

[0082] According to the present invention, a tissue of interest can be analyzed for each component. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 This is a schematic diagram of the PCCT device.

[0084] Figure 2 This is a diagram showing an example of the hardware configuration of a console.

[0085] Figure 3 This is a block diagram of the main functions of the console for generating tomographic images.

[0086] Figure 4 This is a conceptual diagram of the analysis function.

[0087] Figure 5 This is a block diagram of the main functions of the analysis console.

[0088] Figure 6 This is a diagram showing an example of a display screen of an effective atomic number image.

[0089] Figure 7 This is a diagram showing an example of an analysis condition setting screen (analysis condition setting dialog box).

[0090] Figure 8 This is a diagram showing an example of a setting screen for an analysis target area.

[0091] Figure 9 This is a diagram showing an example of the display of the area setting frame.

[0092] Figure 10 This is a diagram showing an example of a screen display of analysis results.

[0093] Figure 11This is a flowchart showing the operational sequence when performing a process of analyzing the shape and size of a specific tissue.

[0094] Figure 12 This is a diagram showing an example of a screen display when setting an analysis target region on a three-dimensional image.

[0095] Figure 13 This is a diagram showing an example of an analysis condition setting screen (analysis condition setting dialog box) when the effective atomic number is set using a preset.

[0096] Figure 14 This is a diagram showing an example of a screen (effective atomic number setting dialog box) for setting the effective atomic number using a preset.

[0097] Figure 15 This is a diagram showing an example of an analysis condition setting screen (analysis condition setting dialog box D) when setting the effective atomic number with a width.

[0098] Figure 16 This is a diagram showing another example of the analysis condition setting screen when setting the effective atomic number with a width.

[0099] Figure 17 This is a diagram showing an example of outputting analysis results by superimposing them on a three-dimensional image of an analysis source.

[0100] Figure 18 This figure shows an example of a case where, when the analysis results are outputted by superimposing them on a three-dimensional image of the analysis source, the measurement results of the size are also displayed.

[0101] Explanation of symbols

[0102] 1-PCCT device, 10-scanner gantry, 10A-opening, 11-X-ray tube device, 12-X-ray detection device, 13-data collection system, 14-rotating frame, 20-bed, 21-top plate, 30-console, 31-processor, 31A-data acquisition unit, 31B-image processing unit, 31C-recording control unit, 31D-output control unit, 31E-analysis condition reception unit, 31F-image acquisition unit, 31G-image analysis unit, 31H-analysis result processing unit, 32-main storage device, 33-auxiliary storage device, 34- Input device, 35-display device, 36-input and output interface, B11-image send button, B12-image return button, B21-analysis button, C-cylinder, C1-column for setting whether analysis is valid or invalid, C11-check box, C2-column for setting image range, C21-text box, C22-text box, C3-column for setting valid atomic number, C31-text box, C32-set button, C4-column for setting the range of valid atomic number, C41-text box, C42-text box, D-analysis condition setting dialog box, DB1-add button, DB2-Delete button, DB3-Button, DB4-Execute button, DS-Analysis condition setting worksheet, F1-1st area setting box, F2-2nd area setting box, F3-3rd area setting box, Im1-3D image of corresponding tissue area, Im2-3D image of corresponding tissue area, Im3-3D image of corresponding tissue area, P-Subject, PT-Label, S-Analysis target area, V1-Image display area, V11-1st analysis result display box, V12-2nd analysis result display box, V13-3rd analysis result display box, V2- Menu display area, ZD-effective atomic number setting dialog box, ZD1-effective atomic number selection column, ZD11-column for selecting the main category, ZD12-column for selecting the effective atomic number, ZDB1-OK button, ZDB2-Cancel button, ZDB3-New registration button, ZDB4-Edit button, Zeff-effective atomic number image Zeff_1-effective atomic number image, Zeff_2-effective atomic number image, Zeff3D-three-dimensional image, S1~S7-action sequence when performing processing to analyze the shape and size of a specific tissue. DETAILED DESCRIPTION

[0103] Hereinafter, the best mode for carrying out the present invention will be described with reference to the accompanying drawings.

[0104] [PCCT device]

[0105] Here, a case where the present invention is applied to an X-ray computed tomography apparatus (PCCT apparatus) capable of performing photon counting computed tomography (PCCT) will be described as an example.

[0106] Figure 1 This is a schematic diagram of the PCCT device. Figure 1 In the diagram, the X-axis, Y-axis, and Z-axis are three axes that are orthogonal to each other. The Y-axis and Z-axis directions are horizontal directions, the X-axis direction is the vertical direction (up and down direction), and the Z-axis direction is the body axis direction.

[0107] like Figure 1 As shown, the PCCT apparatus 1 includes a scanner gantry 10, a bed 20, a console 30, and the like. Each of the apparatuses is connected to each other so as to be communicable.

[0108] [Scanner rack]

[0109] The scanner gantry 10 has an opening (hole) and performs a PCCT scan by irradiating a subject P inserted into the opening 10A with X-rays. The scanner gantry 10 includes an X-ray tube device 11 , an X-ray detector 12 , a data acquisition system (DAS) 13 , and a rotating frame 14 .

[0110] The X-ray tube assembly 11 irradiates the subject P with X-rays. The X-ray tube assembly 11 includes an X-ray tube, an X-ray high-voltage device, a bowtie filter, and a collimator. The X-ray tube, serving as an X-ray source, receives a high voltage from the X-ray high-voltage device, which causes it to output X-rays. The X-rays emitted from the X-ray tube pass through the bowtie filter and collimator and irradiate the subject P.

[0111] The X-ray detection device 12 detects X-rays emitted from the X-ray tube assembly 11 and transmitted through the subject P. The X-ray detection device 12 is a photon counting X-ray detection device. A photon counting X-ray detection device outputs an electrical signal corresponding to the number of photons as an X-ray detection signal. For example, the X-ray detection device 12 has a structure in which multiple detection elements are two-dimensionally arranged in the channel direction (circumferential direction) and the column direction (body axis direction).

[0112] The data collection system 13 collects the electrical signals output from each detector element of the X-ray detector 12 and generates detection data. This detection data is a count of X-ray photons (X-ray photons) assigned to each energy bin. An energy bin is a section of the X-ray spectrum divided into a certain energy bandwidth. The detection data generated by the data collection system 13 is output to the console 30.

[0113] The rotating frame 14 has a cylindrical shape and is driven by a rotation drive device (not shown) to rotate about its axis. The inner periphery of the rotating frame 14 forms the opening 10A of the scanner gantry 10. The X-ray tube assembly 11 and the X-ray detection device 12 are mounted on the rotating frame 14. The X-ray tube assembly 11 and the X-ray detection device 12 are arranged opposite each other with the opening 10A interposed therebetween. Rotating the rotating frame 14 causes the X-ray tube assembly 11 and the X-ray detection device 12 to rotate about the rotation axis of the rotating frame 14. The rotation axis of the rotating frame 14 forms the imaging center.

[0114] [bed]

[0115] The bed 20 carries the subject P and moves it in the vertical and horizontal directions. The bed 20 has a top plate 21 on which the subject P is placed. The top plate 21 is driven by a vertical drive device (not shown) to move up and down in the vertical direction. In addition, the top plate 21 is driven by a horizontal drive device (not shown) to move horizontally in the body axis direction (Z-axis direction). By moving the top plate 21 up and down, the vertical position (height) of the subject P is adjusted. In addition, by moving the top plate 21 horizontally in the body axis direction, the subject P moves in the opening 10A of the scanner frame 10 along the body axis direction.

[0116] [Console]

[0117] The console 30 functions as an operation console and also functions as an image processing device that performs various image processing.

[0118] Figure 2 This is a diagram showing an example of the hardware configuration of a console.

[0119] The console 30 is constituted by a computer and includes a processor 31 , a main storage device 32 , an auxiliary storage device 33 , an input device 34 , a display device 35 , an input / output interface 36 , and the like.

[0120] The processor 31 is, for example, a general-purpose processor, namely a CPU (Central Processing Unit), which executes programs and functions as various processing units. Various programs and data executed by the processor 31 are stored in the main storage device 32 and / or the auxiliary storage device 33. Programs and software have the same meaning.

[0121] The main storage device 32 includes a RAM (Random Access Memory) and a ROM (Read Only Memory).

[0122] The auxiliary storage device 33 is composed of, for example, a HDD (Hard Disk Drive) or an SSD (Solid State Drive).

[0123] The input device 34 includes, for example, a keyboard, a mouse, a touch panel, and the like.

[0124] The display device 35 is configured by, for example, a liquid crystal display (LCD), an organic electroluminescence (FL) display (OLED display), etc. In the present embodiment, the display device 35 is an example of a display unit.

[0125] The input / output interface 36 connects the console 30 to the scanner gantry 10 and the bed 20 so as to be communicable.

[0126] [Function as an operation console]

[0127] The console 30 centrally controls the overall operation of the PCCT apparatus 1 based on user input. Settings for imaging conditions, reconstruction processing, and analysis conditions are performed via the console 30 .

[0128] [Function as an image processing device]

[0129] (a) Function of generating tomographic images

[0130] From the detection data obtained by PCCT, in addition to the usual tomographic image (CT image) showing the distribution of the linear attenuation coefficient, spectral images with various information such as a hypothetical monochromatic X-ray image, an effective atomic number image, and a material discrimination image can be obtained. A hypothetical monochromatic X-ray image refers to an image that hypothetically represents an image obtained with a single energy. The effective atomic number image is an image that shows the distribution of the effective atomic number (effective Z) of a substance. The effective atomic number refers to the atomic number corresponding to the average observation of the constituent elements of a compound or mixture. In the effective atomic number image, the effective atomic number is represented for each pixel. The material discrimination image refers to an image that shows the distribution of the density value of a substance. In the material discrimination image, the density value of a substance is represented for each pixel.

[0131] Figure 3 This is a block diagram of the main functions of the console for generating tomographic images.

[0132] The console 30 has functions such as a data acquisition unit 31A, an image processing unit 31B, a recording control unit 31C, and an output control unit 31D. The functions of each unit are realized by the processor 31 executing a predetermined program.

[0133] The data acquisition unit 31A acquires X-ray detection data from the scanner gantry 10. As described above, detection data is data in which the count value of X-ray photons is assigned to each energy bin. The detection data includes information such as the channel number and column number of the detector element, the view number indicating the collected view, and the count value of detected X-ray photons for each energy bin.

[0134] The image processing unit 31B generates tomographic images by performing predetermined reconstruction processing on the detection data acquired by the data acquisition unit 31A. Furthermore, the image processing unit 31B generates spectral images such as virtual monochromatic X-ray images, effective atomic number images, and material identification images in response to user instructions. Each image is generated for each slice.

[0135] The recording control unit 31C records the tomographic images (including spectral images) generated by the image processing unit 31B in the auxiliary storage device 33. Images are recorded per examination. That is, multiple tomographic images obtained during a single examination are recorded in association with one another. Furthermore, each tomographic image is recorded in association with the detection data that generated it.

[0136] The output control unit 31D outputs the tomographic image (including the spectral image) generated by the image processing unit 31B to the display device 35. The output control unit 31D also outputs the recorded tomographic image to the display device 35. The tomographic image is displayed in a predetermined format.

[0137] (b) Analysis function

[0138] The console 30 of the present embodiment has a function of analyzing the shape and size of a specific tissue (analysis function) as a function of assisting image interpretation.

[0139] Figure 4 This is a conceptual diagram of the analysis function. Figure 4 , (A) is a conceptual diagram of setting analysis conditions, and (B) is a diagram showing an example of display of analysis results.

[0140] Analysis of the shape and size of specific tissues is performed using effective atomic number images.

[0141] like Figure 4As shown in (A), the user sets a region to be analyzed (analysis target region) S on the effective atomic number image Zeff. The analysis target region S has the same meaning as a region of interest (ROI).

[0142] Then, the user sets the components of the tissue to be analyzed and the image range.

[0143] The components of the tissue to be analyzed are set with effective atomic numbers. That is, the effective atomic numbers corresponding to the components of the tissue to be analyzed are set.

[0144] The image range is set by slice numbers. Slice numbers are consecutive numbers assigned to each tomographic image in the order of imaging (scanning).

[0145] The console 30 analyzes the effective atomic number images of a set image range and extracts tissue regions containing the set components from the analysis target region of each image. Extraction is performed by extracting pixels containing the components with the set effective atomic number. Based on the extraction results from each image, the console 30 determines the three-dimensional shape of the tissue and measures its volume. The determined shape and measured volume are then output as analysis results. Figure 4 (B) shows an example in which the three-dimensional shape of the tissue is three-dimensionally displayed as the analysis result.

[0146] In this way, tissues with a set component (effective atomic number) are extracted using the effective atomic number image, and their shapes and sizes are calculated and displayed. This makes it possible to determine the shape and size of stones for each component, for example.

[0147] Figure 5 This is a block diagram of the main functions of the analysis console.

[0148] like Figure 5 As shown, the console 30 includes an analysis condition accepting unit 31E, an image acquiring unit 31F, an image analyzing unit 31G, an analysis result processing unit 31H, and an output control unit 31D. The functions of each unit are realized by the processor 31 executing a predetermined program (image processing program).

[0149] (a) Analysis Condition Acceptance Unit

[0150] The analysis condition receiving unit 31E receives analysis condition settings from the user. Specifically, it receives settings for the region to be analyzed (analysis target region), the composition of the tissue to be analyzed (effective atomic number), and the image range from the user. Multiple analysis target regions can be set. When multiple analysis target regions are set, analysis conditions (effective atomic number and image range) are set for each analysis target region. In this embodiment, the analysis target region is an example of the first region.

[0151] The analysis condition accepting unit 31E displays a predetermined setting screen on the display device 35 and accepts the setting of analysis conditions from the user.

[0152] Figures 6 to 9 This is a diagram showing an example of a screen display when setting analysis conditions. Figure 6 This is a diagram showing an example of a display screen of an effective atomic number image. Figure 7 This is a diagram showing an example of an analysis condition setting screen (analysis condition setting dialog box). Figure 8 This is a diagram showing an example of a setting screen for an analysis target area. Figure 9 This is a diagram showing an example of the display of a frame (region setting frame) for setting the analysis target region.

[0153] In the PCCT apparatus 1 of the present embodiment, a function (analysis function) of analyzing the shape and size of a specific tissue is provided as an analysis menu for the effective atomic number image.

[0154] like Figure 6 As shown, an image display area V1 and a menu display area V2 are set on the display screen of the effective atomic number image.

[0155] The effective atomic number images Zeff_1 to Zeff_4 are displayed in the image display area V1. Figure 6 The example shown shows an example of displaying four effective atomic number images Zeff_1 to Zeff_4 at a time. The number of images displayed at a time is not limited to this, and for example, a structure can also be configured to display only one. An image send button B11 and an image return button B12 are displayed in the image display area V1. By clicking the image send button B11 or the image return button B12, the images displayed in the image display area V1 are switched one by one. In addition, it is also possible to configure a structure to switch multiple (for example, four) images at a time. The images are displayed in the order of the slice numbers and switched in the order of the slice numbers.

[0156] The menu display area V2 displays buttons for executable analysis items for the image displayed in the image display area V1. The PCCT apparatus 1 of this embodiment can analyze the shape and size of specific tissues, so a button for this function (Shape and Size Analysis button) B21 is displayed in the menu display area V2. To analyze the shape and size of a specific tissue, the user clicks the Shape and Size Analysis button B21 displayed in the menu display area V2.

[0157] When the shape and size analysis button B21 is clicked, a dialog box (analysis condition setting dialog box) D for setting analysis conditions pops up on the screen.

[0158] like Figure 7 As shown in FIG. 1 , a worksheet (analysis condition setting worksheet) DS for setting analysis conditions for each analysis target area is provided in the analysis condition setting dialog box D. FIG. Figure 7 This example shows an example where analysis target areas are set at three locations. The displayed worksheet is switched on the PT tab. Figure 7 An example is shown when the analysis condition setting worksheet DS in which "Analysis 1" is selected.

[0159] The analysis condition setting worksheet DS includes a column C1 for setting whether analysis is valid or invalid, a column C2 for setting an image range, and a column C3 for setting a valid atomic number.

[0160] In the column C1 for setting whether to enable or disable the analysis, a check box C11 is set. By checking the check box C11, the analysis is activated.

[0161] In the image range setting field C2, a text box C21 for inputting the start point of the image range and a text box C22 for inputting the end point are provided. In the text box C21 for inputting the start point of the image range, enter the slice number of the valid atomic number image at the beginning of the image range. In the text box C22 for inputting the end point of the image range, enter the slice number of the valid atomic number image at the end of the image range. Figure 7 This shows an example of taking the 2nd to 6th effective atomic number images as the analysis objects. In the text box C21 for inputting the starting point of the image range, for example, "1" is automatically input as a default value. And, in the text box C22 for inputting the end point of the image range, for example, the slice number of the final effective atomic number image is automatically input as a default value. That is, as a default setting, the entire range of effective atomic number images is set as the analysis object. The user can change the numerical value in the text box as needed to narrow the range of images to be analyzed. In addition, only one image range can be specified. When only one image is specified, the slice number of the image to be analyzed is input only in one text box C21, and the other text box C22 is left blank.

[0162] In the column C3 for setting the effective atomic number, a text box C31 for inputting the effective atomic number is provided. Figure 7 This example shows the case where "2.00" is the effective atomic number of the analysis object.

[0163] As mentioned above, multiple analysis target areas can be set. The analysis condition setting dialog box D includes a button (Add button) DB1 for adding an analysis condition setting worksheet DS and a button (Delete button) DB2 for deleting an analysis condition setting worksheet DS. By default, the number of displayed analysis condition setting worksheets DS is one. Each time the Add button DB1 is clicked, an analysis condition setting worksheet DS is added. Clicking the Delete button DB2 deletes the displayed analysis condition setting worksheet DS.

[0164] In the analysis condition setting worksheet DS, the name of the analysis (analysis name) is assigned as the worksheet name. Analysis names are automatically generated in the order in which the worksheets are created, such as "Analysis 1," "Analysis 2," ..., "Analysis N" (N = 1, 2, ...). The analysis name (worksheet name) is displayed on the tab PT of each analysis condition setting worksheet DS.

[0165] If you check the box C11 in the column C1 for setting whether the analysis is valid or invalid and enable the analysis, Figure 8 As shown, frames (region setting frames) F1 to F3 for setting the analysis target region are displayed on the effective atomic number image displayed in the image display region V1. The region setting frames F1 to F3 display the image within the set image range. Figure 8 This example shows the case where the second to sixth effective atomic number images (effective atomic number images with slice numbers 2 to 6) are analyzed for all analysis target regions. In this case, region setting frames F1 to F3 are displayed on the second to fourth effective atomic number images Zeff_2 to Zeff_4 of the effective atomic number images Zeff_1 to Zeff_4 (effective atomic number images with slice numbers 1 to 4) currently displayed in image display region V1.

[0166] Figure 9 This is a diagram showing an example of the display of the area setting frame.

[0167] The area setting frames F1 to F3 are displayed as circles of a predetermined size as an initial display and are displayed in the center of the image. The user adjusts the position, size, and shape (the aspect ratio of the ellipse) of the area setting frames F1 to F3 displayed as circles to set the analysis target area at an arbitrary position. The position, size, and shape can be adjusted, for example, by operating the mouse. The position, size, and shape can be adjusted in any image if the image has the area setting frames F1 to F3 displayed. For example, in Figure 8 In the example shown, the area setting frames F1 to F3 can be adjusted in any of the second to fourth effective atomic number images Zeff_2 to Zeff_4. Adjustments made on one image are also reflected in the other images.

[0168] In each of the area setting boxes F1 to F3, a number corresponding to the analysis name in the analysis condition setting worksheet DS is displayed in the box. Figure 9 In the example, the first region setting box F1 corresponds to the analysis condition setting worksheet for "Analysis 1." The second region setting box F2 corresponds to the analysis condition setting worksheet for "Analysis 2." The third region setting box F3 corresponds to the analysis condition setting worksheet for "Analysis 3."

[0169] When setting multiple analysis target areas, it is preferable to display each area setting box in a different color. Furthermore, when displaying each area setting box in a different color, it is preferable to display the corresponding analysis condition setting worksheet DS (or its tab) in the same color (background color). For example, when the first area setting box F1 is displayed in red, the second area setting box F2 is displayed in blue, and the third area setting box F3 is displayed in yellow, the color of the analysis condition setting worksheet for "Analysis 1" is displayed in red, the color of the analysis condition setting worksheet for "Analysis 2" is displayed in blue, and the color of the analysis condition setting worksheet for "Analysis 3" is displayed in yellow. This makes it possible to clearly identify the correspondence between the area setting boxes and the analysis target worksheets, thereby improving convenience when setting analysis conditions.

[0170] like Figure 7 As shown, the analysis condition setting dialog box D includes a button (Close button) DB3 for closing the dialog box and a button (Execute button) DB4 for executing the analysis. Clicking the Close button DB3 closes the analysis condition setting dialog box D (eliminating it from the screen). The closed analysis condition setting dialog box D is displayed again on the screen by clicking the Shape and Size Analysis button B21 again. Clicking the Execute button DB4 instructs the execution of the analysis.

[0171] (b) Image acquisition unit

[0172] The image acquisition unit 31F acquires an image of the analysis target. The image acquisition unit 31F acquires the effective atomic number image of the image range accepted by the analysis condition acceptance unit 31E from the auxiliary storage device 33 as the image of the analysis target.

[0173] (c) Image Analysis Unit

[0174] The image analysis unit 31G analyzes the image designated as the analysis target and extracts a region (corresponding tissue region) containing a component having the effective atomic number designated as the analysis target from the region designated as the analysis target (analysis target region). Since the image range designated as the analysis target and the effective atomic number designated as the analysis target region are set for each analysis target region, the corresponding tissue region is extracted for each analysis target region.

[0175] The corresponding tissue region is extracted by extracting pixels containing a component with a designated effective atomic number from the correction target region of each image. For example, if the effective atomic number 2.00 is designated as the analysis target for the first analysis target region, pixels containing a component with an effective atomic number of 2.00 are extracted, thereby extracting the corresponding tissue region. In this embodiment, the corresponding tissue region is an example of the second region.

[0176] (d) Analysis result processing unit

[0177] The analysis result processing unit 31H determines the shape of the region containing the component with the effective atomic number designated as the analysis target (corresponding tissue region) based on the analysis results of the image analysis unit 31G, and measures its size. If multiple images are designated as the analysis targets (if an image range encompassing multiple images is designated), the analysis result processing unit 31H determines the shape of the corresponding tissue region as a three-dimensional shape and generates a three-dimensional image of the shape. The three-dimensional image is generated based on information about the pixels extracted as the corresponding tissue region.

[0178] The size is calculated based on the image resolution (pixel / mm). If the shape of the corresponding tissue region is determined as a three-dimensional shape, the analysis result processing unit 31H calculates the volume of the region. If the shape of the corresponding tissue region is determined as a two-dimensional shape (when only one image is used as the analysis target), the analysis result processing unit 31H calculates the area of ​​the region.

[0179] (e) Output control unit

[0180] The output control unit 31D outputs the analysis result to the display device 35. The output control unit 31D outputs the shape information and size information of the region extracted as the corresponding tissue region in a predetermined format.

[0181] Figure 10This is a diagram showing an example of a screen display of analysis results.

[0182] like Figure 10 As shown, the analysis results are displayed in the image display area V1. In the image display area V1, analysis result display frames V11 to V13 are displayed according to the number of set analysis target areas. Figure 10 This example shows an example where analysis target regions are set at three locations. The analysis results for the first analysis target region (Analysis 1) are displayed in the first analysis result display frame V11. The analysis results for the second analysis target region (Analysis 2) are displayed in the second analysis result display frame V12. The analysis results for the third analysis target region (Analysis 3) are displayed in the third analysis result display frame V13.

[0183] The three-dimensional coordinates are displayed within the frame, along with three-dimensional images Im1-Im3 of the corresponding tissue region extracted from the corresponding analysis target region. The measured size information is also displayed. The three-dimensional images Im1-Im3 displayed within each frame can be individually enlarged, reduced, and rotated based on user instructions.

[0184] [Analysis processing action]

[0185] Figure 11 This is a flowchart showing the operational sequence when performing a process of analyzing the shape and size of a specific tissue.

[0186] First, the effective atomic number image is displayed (step S1). Figure 6 As shown, the effective atomic number image is displayed in the image display area V1.

[0187] Next, it is determined whether there is a request for analysis (step S2). The request for analysis is made by clicking the shape and size analysis button B21. The processor 31 determines whether the shape and size analysis button B21 is clicked, thereby determining whether there is a request for analysis.

[0188] If the shape and size analysis button B21 is clicked and the request for analysis is accepted, the analysis conditions are set (step S3). The processor 31 displays the analysis condition setting dialog box D on the screen to accept the setting of the analysis conditions (refer to Figure 7 ). The user specifies the image range, specifies the effective atomic number, and sets the analysis to be valid or invalid in the analysis condition setting dialog box D displayed on the screen. When setting the analysis target area in multiple locations, the analysis condition setting worksheet DS is additionally displayed. For the worksheet for validating the analysis (the analysis condition setting worksheet with the checkbox C11 checked), the area setting box is displayed in the image of the corresponding image range (refer to Figure 8 and Figure 9). The user adjusts the position, size, and shape (aspect ratio) of the region setting frame displayed on the effective atomic number image to set the analysis target region.

[0189] After completing the analysis condition settings, the user instructs analysis execution by clicking the execute button DB4 displayed in the analysis condition setting dialog box D. The processor 31 determines whether the execute button DB4 has been clicked, thereby determining whether an analysis execution instruction has been issued (step S4).

[0190] If the execution of analysis is instructed, an effective atomic number image of the analysis target is acquired (step S5). The effective atomic number image of the analysis target is an effective atomic number image of the image range specified by the user.

[0191] The acquired effective atomic number image is subjected to image analysis under specified conditions (step S6). Specifically, a region (corresponding tissue region) containing a component with the specified effective atomic number is extracted from the specified region (analysis target region). Based on this extraction result, the shape of the corresponding tissue region is determined and its size is measured.

[0192] After the analysis is completed, the analysis result is output to the display device 35 (step S7). Figure 10 As shown, the analysis results are displayed for each analysis target area, showing the extracted three-dimensional image of the corresponding tissue area and the measured size information.

[0193] Thus, according to this embodiment, the shape and size of the tissue with the component of the specified effective atomic number can be determined and displayed on the screen. Thus, for example, with respect to stones, the shape and size of each component can be obtained. For example, with respect to urinary calculi, the main components are known to be ammonium magnesium phosphate, uric acid, cystine, calcium oxalate, calcium phosphate, etc. With respect to their respective effective atomic numbers, it is known that ammonium magnesium phosphate is 9.72, uric acid is 6.92, cystine is 11.07, calcium oxalate is 13.52, and calcium phosphate is 15.95. Therefore, by specifying the effective atomic number of the component to be known, it is possible to determine whether it is present, and in the case of a tissue with the component, its shape and size can be known. For example, in the case of suspected uric acid stones, by specifying the effective atomic number as 9.62 to perform analysis, it is possible to know whether it is present, and its shape and size when it is present. Thus, according to this embodiment, for stones that are divided into treatment methods and prevention methods according to their components, the shape and size can be determined for each component. This can improve the accuracy of treatment and preventive diagnosis.

[0194] [Modification]

[0195] [Show image]

[0196] (a) Type of displayed image

[0197] In the above embodiment, an effective atomic number image is output to the display device 35, and the analysis target region is set on the effective atomic number image displayed on the screen. However, the image output to the display device 35 is not limited to this. For example, a normal CT image may be output to the display device 35, and the analysis target region may be set on the normal CT image displayed on the screen.

[0198] (b) Display of three-dimensional images

[0199] In the above embodiment, a two-dimensional tomographic image is displayed on a screen while accepting the setting of the analysis target region. However, a three-dimensional image may be generated from a two-dimensional tomographic image obtained by imaging (scanning), and the generated three-dimensional image is displayed on a screen while accepting the setting of the analysis target region. The generation of a three-dimensional image is a well-known technique, and therefore a detailed description thereof will be omitted.

[0200] Figure 12 This is a diagram showing an example of a screen display when setting an analysis target region on a three-dimensional image.

[0201] like Figure 12 As shown, a three-dimensional image Zeff_3D generated based on the effective atomic number image is displayed in the image display area V1, and the setting of the analysis target area is accepted.

[0202] The analysis target area is, for example, a cylinder C displayed along the body axis, and the position (position within a plane perpendicular to the body axis), size (size of the cross section), and shape (shape of the cross section) of the cylinder C are adjusted and set. The area enclosed by the cylinder C is set as the analysis target area. Furthermore, the position and length of the cylinder C in the body axis direction are set within the image range. The image range can be set in the analysis condition setting dialog box D or on the screen. When setting on the screen, this is done by adjusting the position and length (height) of the cylinder C in the body axis direction.

[0203] [Setting of analysis conditions]

[0204] (a) Method for setting effective atomic number

[0205] In the above embodiment, a method for setting the effective atomic number of the analysis target is configured by providing a text box C31 in the effective atomic number setting column C3 of the analysis condition setting dialog box D, and the user directly enters the effective atomic number of the analysis target in this text box C31. The method for setting the effective atomic number of the analysis target is not limited to this. For example, multiple effective atomic numbers can be pre-registered and set as appropriate (so-called presets). Specifically, multiple effective atomic numbers are pre-registered as selection candidates, and the user is prompted to select one during the setting process. When selecting, the effective atomic number and the corresponding component information are preferably displayed in association. For example, the effective atomic number and the component corresponding to the effective atomic number are displayed in a row. Furthermore, registration is preferably performed by classification into multiple categories. For example, even for the same stone, the main component varies depending on the type (ureteral stone, kidney stone, bladder stone, gallstone, etc.), so it is preferable to classify and register by type. Moreover, when registering by category, it is preferable to configure the system so that selection can be made by category. Furthermore, it is preferable that the registration can be arbitrarily added, changed, and deleted by the user.

[0206] Figure 13 1 is a diagram showing an example of an analysis condition setting screen (analysis condition setting dialog box) when the effective atomic number is set by preset. Figure 14 This is a diagram showing an example of a screen (effective atomic number setting dialog box) for setting the effective atomic number using a preset.

[0207] like Figure 13 As shown, when setting the effective atomic number using a preset, a set button C32 is provided in the analysis condition setting dialog box D. Set button C32 is a button that calls the effective atomic number setting screen. Set button C32 is provided in the effective atomic number setting field C3. Clicking set button C32 pops up the effective atomic number setting dialog box ZD.

[0208] like Figure 14 As shown, a column (effective atomic number selection column) ZD1 for selecting an effective atomic number is provided in the effective atomic number setting dialog box ZD.

[0209] Within the effective atomic number selection column ZD1, a column ZD11 for selecting a main category and a column ZD12 for selecting an effective atomic number are provided. The column ZD11 for selecting a main category displays a list of selectable main categories. The column ZD12 for selecting an effective atomic number displays a list of selectable effective atomic numbers within the main category selected in the column ZD11. The effective atomic number is displayed together with information on the corresponding component. More specifically, the component and its effective atomic number are displayed side by side. The main categories are categorized, for example, by disease name. Figure 14An example of classification based on stone type is shown. For each main classification, selectable effective atomic numbers are registered. For example, Figure 14 An example is shown in which "Urinary calculi" is selected as the main category. Next, an example is shown in which "magnesium ammonium phosphate: 9.72," "uric acid: 6.92," "cystine: 11.07," "calcium oxalate: 13.52," and "calcium phosphate: 15.95" are registered as selectable effective atomic numbers for the main category "Urinary calculi." After selecting the main category, the user selects an effective atomic number to be analyzed from the effective atomic numbers listed in the column ZD12 for selecting an effective atomic number. The background color of the selected main category and effective atomic number changes (e.g., is inverted).

[0210] The effective atomic number setting dialog box ZD includes an OK button ZDB1 , a cancel button ZDB2 , a new registration button ZDB3 , and an edit button ZDB4 .

[0211] The OK button ZDB1 is a button that instructs you to reflect (apply) the settings. Clicking the OK button ZDB1 automatically reflects the selected effective atomic number in the analysis condition settings. Specifically, the selected effective atomic number is automatically entered in the text box C31 of the effective atomic number setting column C3 in the analysis condition setting dialog box D. Clicking the OK button ZDB1 removes the effective atomic number setting dialog box ZD from the screen. To reselect, click the Set button C32 again in the analysis condition setting dialog box D.

[0212] The cancel button ZDB2 is a button for instructing to cancel the setting operation of the effective atomic number based on the preset value. When the cancel button ZDB2 is clicked, the process is interrupted and the effective atomic number setting dialog box ZD is deleted from the screen.

[0213] The new registration button ZDB3 is a button for instructing to perform a new registration. If the new registration button ZDB3 is clicked, the prescribed registration screen is displayed, and the effective atomic number can be registered. The registration process includes the process of adding a main category and the process of re-adding an effective atomic number to a main category that has been created and registered. In the case of adding a main category, the name of the re-added main category (category name) is given, and the effective atomic number that can be selected in the main category and the name of the component corresponding to the effective atomic number are registered. In the case of re-adding an effective atomic number to a main category that has been created and registered, the main category is selected, and the effective atomic number added and the name of the component corresponding to the effective atomic number are registered.

[0214] The Edit button ZDB4 is used to instruct editing of registered effective atomic numbers. Clicking the Edit button ZDB4 displays a predetermined editing screen, allowing editing of the effective atomic number. Editing operations include changing the name of a main category, deleting a main category, deleting a registered effective atomic number, modifying an already registered effective atomic number, and modifying the names of components associated with a registered effective atomic number.

[0215] By utilizing the preset function in this manner, the setting operation of the analysis conditions can be easily performed, and convenience can be improved.

[0216] (b) Setting of effective atomic number with width

[0217] In the above embodiment, the effective atomic number of the analysis target is precisely specified, but it can also be configured to have a wide range of settings. Sometimes the judgment criteria vary depending on the facility. For example, in the case of stones, the effective atomic number value to which the stone is determined may be determined. By providing a wide range of settable effective atomic number values, the range of analysis targets can be expanded.

[0218] Figure 15 This is a diagram showing an example of an analysis condition setting screen (analysis condition setting dialog box D) when setting the effective atomic number with a width.

[0219] like Figure 15 As shown, in the analysis condition setting dialog box D of this example, a column C4 for setting the range of the effective atomic number is provided in the worksheet for setting the analysis conditions (analysis condition setting worksheet DS).

[0220] In this example, the range is specified by specifying a negative range and a positive range based on the effective atomic number set in the effective atomic number setting field C3. Therefore, in the analysis condition setting dialog box D of this example, a text box C41 for entering a negative range and a text box C42 for entering a positive range are provided in the effective atomic number setting field C4.

[0221] In the text box C41 for inputting a negative range, a numerical value of the range set on the negative side is input based on the value of the effective atomic number set in the field C3 for setting the effective atomic number.

[0222] In the text box C42 for inputting a range on the positive side, a numerical value of the range set on the positive side is input based on the effective atomic number set in the field C3 for setting the effective atomic number.

[0223] exist Figure 15In the example shown, an example is shown in which "2.00" is specified as the effective atomic number of the base, "0.3" (-0.3) is specified as the range on the negative side, and "0.5" (+0.5) is specified as the range on the positive side. That is, an example is shown in which analysis is performed within the range of -0.3 to +0.5 based on 2.00. In this case, the range of 1.70 to 2.50 is set as the effective atomic number of the analysis object. Therefore, if an instruction is given to perform analysis, the analysis is performed with the effective atomic number in the range of 1.70 to 2.50. That is, pixels containing components with effective atomic numbers in the range of 1.70 to 2.50 are extracted, and the shape and size are analyzed.

[0224] Figure 16 This is a diagram showing another example of the analysis condition setting screen when the effective atomic number is set with a width.

[0225] Figure 16 An example of setting the effective atomic number as a reference by default is shown. The setting of the effective atomic number based on the default is as described above.

[0226] In this example, in the column C4 for setting the effective atomic number range for the effective atomic number specified in the preset, the range of the effective atomic number to be analyzed is specified by specifying a negative range and a positive range.

[0227] Alternatively, the range of effective atomic numbers to be analyzed may be directly input and set. In this case, for example, a column for setting the range of effective atomic numbers is provided in the analysis condition setting worksheet DS, and text boxes for inputting the start and end points of the range are provided in the column.

[0228] [Result output]

[0229] In the above embodiment, the shape and size of the tissue extracted through the analysis process are output as analysis results. However, it is also possible to output only one of the analysis results. For example, it is possible to output only the shape analysis result. In this case, the size measurement can be omitted.

[0230] Furthermore, while the above embodiment determines the three-dimensional shape of the extracted tissue as a result of shape analysis and generates and outputs a three-dimensional image thereof, it is also possible to configure the output to be a two-dimensional image. In this case, for example, a two-dimensional image of the corresponding tissue region extracted from each image within the image range designated as the analysis target is displayed separately.

[0231] Furthermore, in the above embodiment, the shape analysis result is displayed independently, but it may be displayed superimposed on a three-dimensional image of the analysis source (a three-dimensional image generated from a two-dimensional tomographic image obtained by imaging).

[0232] Figure 17 This is a diagram showing an example of outputting analysis results by superimposing them on a three-dimensional image of an analysis source.

[0233] like Figure 17 As shown, the three-dimensional image Zeff_3D of the analysis source is displayed in the image display area V1. Three-dimensional images Im1 to Im3 of corresponding tissue regions extracted from each analysis target region are superimposed on this three-dimensional image Zeff_3D. The three-dimensional images Im1 to Im3 of the corresponding tissue regions are aligned in position and size and displayed on the three-dimensional image Zeff_3D of the analysis source.

[0234] In this manner, by outputting the analysis result while being superimposed on the three-dimensional image of the analysis source, the position and size thereof can be easily grasped.

[0235] In the above example, the analysis results are output superimposed on a three-dimensional image of the analysis source. However, other configurations are also possible, such as regenerating a three-dimensional image of a specific organ or body part from a two-dimensional tomographic image obtained through imaging, and displaying the analysis results superimposed on this three-dimensional image. Furthermore, a configuration is also possible, such as generating a three-dimensional image of a region designated as the analysis target region, and displaying the analysis results superimposed on this three-dimensional image. Preferably, multiple display modes are employed, allowing the user to select any display mode. For example, it is preferable to be able to arbitrarily switch between displaying the results independently and displaying them superimposed on the three-dimensional image.

[0236] Furthermore, in the above example, the case where only the analysis result of the shape is output has been described as an example. However, if the size is measured, it is preferable to also display the information of the measurement result.

[0237] Figure 18 This figure shows an example of a case where, when the analysis results are outputted by superimposing them on a three-dimensional image of the analysis source, the measurement results of the size are also displayed.

[0238] like Figure 18 As shown, the size measurement results are displayed near the three-dimensional images Im1 to Im3 of the corresponding tissue regions. Alternatively, an area for displaying the size measurement results may be provided on the screen, and the size measurement results may be displayed in this area.

[0239] In this way, by displaying the size measurement results in addition to the shape analysis results, the shape and size of the target tissue can be easily confirmed.

[0240] [X-ray CT device]

[0241] While the above embodiments illustrate the application of the present invention to a PCCT apparatus, the present invention is not limited thereto. The present invention is applicable to any X-ray CT apparatus capable of measuring effective atomic number (i.e., an X-ray CT apparatus capable of reconstructing an effective atomic number image from detection data obtained through imaging). For example, any X-ray CT apparatus capable of reconstructing a CT image capable of material identification by detecting X-rays transmitted through a subject at two or more energy levels (e.g., a spectral CT apparatus) can acquire an effective atomic number image and, therefore, is applicable to the present invention.

[0242] [other]

[0243] In the above-described embodiment, the console is provided with the function of the image processing device, but the image processing device may be configured as a device separate from the console.

[0244] The processing unit that provides the functions of the image processing device can be composed of various processors. Among the various processors, in addition to general-purpose processors such as CPUs and GPUs (Graphic Processing Units), there are also processors such as FPGAs (Field Programmable Gate Arrays) whose circuit structures can be changed after manufacturing, such as programmable logic devices (PLDs), ASICs (Application Specific Integrated Circuits), and processors with circuit structures specially designed to perform specific processing, such as dedicated circuits. A processing unit can be composed of one of the various processors, or it can be composed of two or more processors of the same or different types. For example, a processing unit can be composed of multiple FPGAs or a combination of CPUs and FPGAs. In addition, multiple processing units can be composed of one processor. As an example of multiple processing units being composed of one processor, there is first the following method: as represented by a computer used in a user terminal or server, a processor is composed of a combination of one or more CPUs and software, and the processor functions as multiple processing units. Second, there is a method such as a system on a chip (SoC), which uses a processor that implements the functions of the entire system including multiple processing units on a single IC (Integrated Circuit). In this way, each processing unit is composed of one or more of the above-mentioned processors as a hardware structure.

Claims

1. An image processing device for processing an image obtained by an X-ray computed tomography device capable of measuring effective atomic number, The image processing device includes a processor, The processor performs the following processing: displaying at least one of a plurality of images obtained by the X-ray computed tomography apparatus on a display unit; accepting setting of a first area on the image displayed on the display unit; Accepting the setting of the effective atomic number of the analysis object; Extracting pixels containing the component of the effective atomic number within the first region, thereby extracting a second region containing the component of the effective atomic number within the first region; determining a shape of the second region; and The shape of the second area is displayed on the display unit.

2. The image processing apparatus according to claim 1, wherein: The processor performs the following processing: measuring the size of the second region; and The shape and size of the second area are displayed on the display unit.

3. The image processing device according to claim 1 or 2, wherein: The processor performs the following processing: The setting of the effective atomic number range to be analyzed is accepted.

4. The image processing apparatus according to claim 3, wherein: The processor performs the following processing: The value of the effective atomic number serving as a reference and the setting of a range based on the value are accepted, thereby accepting the setting of a range of the effective atomic number serving as an analysis target.

5. The image processing apparatus according to claim 1 or 2, wherein: The processor performs the following processing: displaying the effective atomic number registered in advance as the effective atomic number corresponding to a specific component on the display unit; and By accepting a selection from the effective atomic numbers displayed on the display unit, setting of the effective atomic number to be analyzed is accepted. The image processing apparatus according to claim 5 , wherein: The processor performs the following processing: Information on the component corresponding to the effective atomic number is displayed on the display unit in association with the effective atomic number.

7. The image processing apparatus according to claim 5, wherein: The processor performs the following processing: Registration of the effective atomic number displayed on the display unit is accepted.

8. The image processing apparatus according to claim 1 or 2, wherein: The processor performs the following processing: accepting settings of a plurality of the first areas; accepting, for each of the first regions, a setting of the effective atomic number to be analyzed; For each of the first regions, extracting the second region; For each of the first regions, determining a shape of the second region; and The shape of the second area is displayed on the display unit for each of the first areas.

9. The image processing apparatus according to claim 8, wherein: The processor performs the following processing: For each of the first regions, measuring the size of the second region; and The shape and size of the second area are displayed on the display unit for each of the first areas.

10. The image processing apparatus according to claim 1 or 2, wherein: The processor performs the following processing: receiving a setting of a range of the image to be analyzed from a plurality of images obtained by the X-ray computed tomography apparatus; extracting the second region separately from the image within a set range; determining a three-dimensional shape of the second region; and The three-dimensional shape of the second region is displayed on the display unit. The image processing apparatus according to claim 10 , wherein: The processor performs the following processing: measuring the volume of the second region, thereby measuring the size of the second region; and The three-dimensional shape and volume of the second region are displayed on the display unit.

12. The image processing apparatus according to claim 10, wherein: The processor performs the following processing: displaying a three-dimensional image generated from a plurality of images obtained by the X-ray computed tomography apparatus on the display unit; and The setting of the first area is received on the three-dimensional image displayed on the display unit.

13. The image processing apparatus according to claim 1 or 2, wherein: The processor performs the following processing: The three-dimensional shape of the second region is displayed on a three-dimensional image generated from a plurality of images obtained by the X-ray computed tomography apparatus.

14. The image processing apparatus according to claim 1 or 2, wherein: The X-ray computed tomography apparatus is an X-ray computed tomography apparatus capable of performing photon counting computed tomography.

15. The image processing apparatus according to claim 14, wherein: The image obtained by the X-ray computed tomography apparatus is an effective atomic number image.

16. An image processing method for processing an image obtained by an X-ray computed tomography device capable of measuring effective atomic number, the image processing method comprising the following steps: displaying at least one of a plurality of images obtained by the X-ray computed tomography apparatus on a display unit; accepting setting of a first area on the image displayed on the display unit; Accepting the setting of the effective atomic number of the analysis object; Extracting pixels containing the component of the effective atomic number within the first region, thereby extracting a second region containing the component of the effective atomic number within the first region; determining a shape of the second region; and The shape of the second area is displayed on the display unit.

17. An image processing program product for processing an image obtained by an X-ray computed tomography apparatus capable of measuring effective atomic number, wherein the image processing program product enables a computer to implement the following functions: displaying at least one of a plurality of images obtained by the X-ray computed tomography apparatus on a display unit; accepting setting of a first area on the image displayed on the display unit; Accepting the setting of the effective atomic number of the analysis object; Extracting pixels containing the component of the effective atomic number within the first region, thereby extracting a second region containing the component of the effective atomic number within the first region; determining a shape of the second region; and The shape of the second area is displayed on the display unit.

18. A non-transitory computer-readable recording medium having an image processing program recorded thereon, the image processing program processing an image obtained by an X-ray computed tomography apparatus capable of measuring effective atomic number, the image processing program causing a computer to implement the following functions: displaying at least one of a plurality of images obtained by the X-ray computed tomography apparatus on a display unit; accepting setting of a first area on the image displayed on the display unit; Accepting the setting of the effective atomic number of the analysis object; Extracting pixels containing the component of the effective atomic number within the first region, thereby extracting a second region containing the component of the effective atomic number within the first region; determining a shape of the second region; and The shape of the second area is displayed on the display unit.

Images