JP2004298540A - Image reconstruction device and x-ray tomography apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an image reconstruction device and an X-ray tomography apparatus which can form a tomogram suitable for the shapes and properties of a subject to be detected. <P>SOLUTION: The image reconstruction device 2 comprises a scanning gantry 11 for forming projection data of the subject, a memory section 22 for storing a plurality of detecting programs PGR for processing an image suitable for both or either of the shapes and properties of different subjects and forming a tomogram for focusing on both or either of the shapes and properties of the subjects, a selecting section 211 for selecting at least one image reconstruction program PGR from a plurality of image reconstruction programs stored by the memory section 22, and a reconstruction section 212 for executing the image reconstruction program PGR selected by the selection section 211 and forming a tomogram V using the projection data SD of the subject h outputted from the scanning gantry 11. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention provides, for example, an image for which a tomographic image is generated by performing image reconstruction processing based on projection data of a subject by a CT (Computed Tomography) apparatus as an X-ray tomographic imaging apparatus, an MRI (Magnetic resonance imaging) apparatus, or the like. The present invention relates to a reconstructing apparatus and an X-ray tomographic imaging apparatus.
[0002]
[Prior art]
In recent years, for example, a medical imaging apparatus such as a CT apparatus or an MRI apparatus that images a subject, performs image reconstruction processing by an image reconstruction apparatus based on projection data, and generates a tomographic image at a predetermined position, and the tomographic image. 2. Description of the Related Art There is known a medical system including a computer-aided diagnosis (CAD) that detects an abnormal region candidate based on a predetermined algorithm and presents it to a doctor. See, for example, Patent Document 1 as a computer-aided diagnosis device.
[0003]
[Patent Document 1]
JP-A-1-125675 [Problems to be Solved by the Invention]
In the medical system described above, when CAD performs a process of detecting an abnormal region candidate based on a tomographic image of a predetermined position generated by the medical imaging device through the reconstruction process, the type of disease, for example, a nodular frosted glass of lung cancer. The detection rate varies depending on the shape or property of a detection target such as a shape shadow, and improvement is desired.
[0004]
The present invention has been made in view of such circumstances, and an object thereof is to provide an image reconstruction apparatus and an X-ray tomographic image imaging apparatus that can generate a tomographic image suitable for the shape or property of a detection target. Is to do.
[0005]
[Means for Solving the Problems]
In order to achieve the above object, a first aspect of the present invention is an image reconstructing apparatus for reconstructing a tomographic image from projection data obtained by scanning a subject, the shape and properties of different detection targets. A storage unit for storing a plurality of image reconstruction programs for reconstructing a tomographic image while performing image processing suitable for one of them, and a designated image reconstruction program among a plurality of programs stored in the storage unit. Image reconstruction means for reconstructing a tomographic image using the projection data by using a configuration program.
[0006]
According to the first aspect of the present invention, the storage unit stores a plurality of image reconstruction programs that reconstruct a tomographic image while performing image processing suitable for one or both of the shape and the property of a different detection target.
The image reconstructing means reconstructs a tomographic image using projection data by using a designated image reconstructing program among a plurality of programs stored in the storage means.
[0007]
Furthermore, in order to achieve the above object, a second aspect of the present invention provides a projection data generating unit that scans a subject using X-rays to generate projection data, and a shape and a property of a different detection target. Storage means for storing a plurality of image reconstruction programs for reconstructing a tomographic image while performing image processing suitable for one of them, and a designated image reconstruction program among a plurality of programs stored in said storage means And image reconstruction means for reconstructing a tomographic image using the projection data generated by the projection data generation means.
[0008]
BEST MODE FOR CARRYING OUT THE INVENTION
FIG. 1 is an overall view configuration diagram of an embodiment of a medical system employing an image reconstruction device according to the present invention.
A medical system 100 employing an image reconstruction apparatus according to the present embodiment includes, for example, an X-ray CT apparatus 1 as a medical imaging apparatus and a computer-aided diagnosis apparatus (also referred to as CAD) 3 as shown in FIG. .
The CT apparatus 1 corresponds to the X-ray tomographic imaging apparatus according to the present invention, and the CT apparatus 1 includes the image reconstruction apparatus 2 according to the present invention. The computer-aided diagnosis device 3 corresponds to a medical diagnosis assist device according to the present invention.
[0009]
The CT apparatus 1 includes, for example, a scanning gantry 11, an operation console 12, and an imaging table 13, as shown in FIG.
The scanning gantry 11 corresponds to an image data generating unit according to the present invention.
[0010]
The scanning gantry 11 has an X-ray tube 111, a collimator 112, a detector array 113, a data acquisition unit 114, an X-ray controller 115, a collimator controller 116, a rotation unit 117, and a rotation controller 118.
[0011]
The X-ray tube 111 emits X-rays as a radiation source. The collimator 112 shapes the X-ray irradiated by the X-ray tube 111 into, for example, a fan-shaped X-ray beam, that is, a fan beam, and irradiates the detector array 113 via the subject h.
The detector array 113 has a plurality of X-ray detection elements arranged in an array in the width direction of the fan-shaped X-ray beam, and outputs a detected signal to the data collection unit 114. The data collection unit 114 outputs a signal output from the detector array 113 to the operation console 12.
[0012]
The X-ray controller 115 controls the irradiation output and the like of the X-ray tube 111 under the control of the operation console 12. The collimator controller 116 adjusts, for example, the aperture of the aperture of the collimator 112 under the control of the operation console 12 so that the X-ray radiated by the X-ray tube 111 is irradiated with the X-ray beam having a predetermined width and a predetermined thickness. Irradiation.
[0013]
The rotation unit 117 rotates in a predetermined direction under the control of the rotation controller 118. The rotating unit 117 includes an X-ray tube 111, a collimator 112, a detector array 113, a data collecting unit 114, an X-ray controller 115, and a collimator controller 116. These components are used to rotate the rotating unit 117. Accordingly, the positional relationship with respect to the subject h carried into the X-ray irradiation space 119 changes.
The rotation controller 118 controls the rotation unit 117 according to a control signal from the operation console 12 to rotate the rotation unit 117 by a desired number of rotations.
[0014]
The operation console 12 includes a central processing unit 121, a data collection buffer 122, an input device 123, a display device 124, a storage device 125, a control interface 126, a communication interface (I / F) 127, and an image reconstruction device 2 as main components. As
[0015]
The central processing unit 121 is configured by, for example, a microcomputer or the like, and moves the imaging table 13 on which the subject h is placed on the X-ray irradiation space 119 of the scanning gantry 11 in accordance with an instruction input from the input device 123. The control signal for carrying in and out is output to the photographing table 13 via the control interface 126.
[0016]
The central processing unit 121 receives a scan start instruction input from the input device 123, outputs a control signal for rotating the rotating unit 117 to the rotation controller 118 via the control interface 126, and outputs the X-ray from the X-ray tube 111. A control signal for causing the irradiation of light is output to the X-ray controller 115 via the control interface 126, and a control signal for controlling the collimator is output to the collimator controller 116 via the control interface 126.
[0017]
The central processing unit 121 outputs the raw data (projection data) input from the data collection unit 114 via the data collection buffer 122 to the image reconstruction device 2.
Further, the central processing unit 121 causes the communication I / F 127 to output the image (for example, a tomographic image) generated by the image reconstruction device 2 to the CAD 3 via the communication network 4.
[0018]
The data collection buffer 122 receives the detection signal output by the data collection unit 114, temporarily buffers the detection signal, and outputs the buffered signal to the central processing unit 121.
The input device 123 is provided for an operator to input status information and the like to the central processing unit 121, and is configured by, for example, a keyboard, a mouse, and the like.
The display device 124 displays a reconstructed image generated by the image reconstructing device, a candidate region to be detected by the CAD 3, and other various information under the control of the central processing unit 121.
[0019]
The storage device 125 stores various data, reconstructed images, programs, and the like, and the stored data is accessed by the central processing unit 121 as needed.
The control interface 126 connects the operation console 12 and the scanning gantry 11. The communication interface 127 connects the central processing unit 121 and the image reconstructing apparatus 2 via the communication network (NET) 14.
[0020]
The communication network (NET) 4 is a communication network, for example, a LAN (local area network) configured by a router or a hub. The communication network 4 may be a communication network such as the Internet.
[0021]
The image reconstruction device 2 performs an image reconstruction process based on the projection data (also referred to as scan data) output from the central processing device 121, generates a tomographic image of each slice plane, and centrally processes the generated tomographic image. Output to the device 121. The generated image is output to the CAD 3 under the control of the central processing unit 121.
[0022]
The image reconstruction device 2 has a CPU 21, a storage unit 22, and the like as main components, for example, as shown in FIG.
The storage unit 22 corresponds to a storage unit according to the present invention.
[0023]
The CPU 21 performs image reconstruction processing based on, for example, projection data output from the central processing unit 121 to generate a tomographic image, and outputs the tomographic image to the central processing unit 121.
The storage unit 22 stores a plurality of programs PRG, various data, and the like, and is accessed by the CPU 21.
For example, based on the projection data, the storage unit 22 executes a plurality of image reconstruction programs including processing contents for reconstructing a tomographic image while performing image processing suitable for the shape and / or property of a different detection target. Remember.
The storage unit 22 stores, for example, in detail, a plurality of image reconstruction programs including processing contents for reconstructing a tomographic image in which the shape and / or property of a different detection target is emphasized based on projection data. .
When the program PRG is executed by the CPU 21, the processing contents included in the program PRG are realized.
[0024]
FIG. 2 is a functional block diagram for explaining functions of the image reconstruction device of the medical system shown in FIG. The image reconstruction device 2 will be described in detail with reference to FIG.
For example, as shown in FIG. 2 in detail, the storage unit 22 includes a nodule program PRG_1, a ground glass opacity (GGO) program PRG_2, an XX program PRG_3, and the like as image reconstruction programs.
[0025]
The nodule program PRG_1 generates a tomographic image and a nodule image V_1 that emphasize the shape and / or property of the nodule region of the nodule as a detection target, for example, the type of disease. For example, a nodule can be easily detected in a tomographic image having image characteristics with emphasized edges. In detail, it is easy to extract the characteristic amount of the nodule by the nodule CAD 3 described later. Therefore, for example, the nodule program PRG_1 performs an edge emphasis filter process.
[0026]
The GGO program PRG_2 generates a tomographic image and a GGO image V_2 with image characteristics that emphasize the shape and / or property of a ground glass shadow (GGO) region due to a detection target, for example, lung cancer as a disease type. For example, a ground glass shadow (GGO) appears as a slightly gray area in a tomographic image. For this reason, the GGO program PRG_2 generates a tomographic image with image characteristics that emphasizes that region. For example, the GGO program PRG_2 performs a smoothing filter Par_2 process.
[0027]
The storage unit 22 also includes an image reconstruction program PRG_3 that generates a tomographic image in which the shape and / or the property of a detection target of a predetermined disease XXX is emphasized as a detection target, for example, a disease type. Has a plurality.
[0028]
The function of the CPU 21 of the image reconstruction device 2 includes a selection unit 211 and a reconstruction unit 212, for example, as shown in FIG.
The selection unit 211 corresponds to the designation unit according to the present invention. The reconstruction unit 212 corresponds to an image reconstruction unit according to the present invention.
[0029]
The selection unit 211 designates at least one image reconstruction program PRG from a plurality of image reconstruction programs stored in the storage unit 22. A plurality may be selected.
[0030]
For example, in detail, the selection unit 211 displays an image including a menu from which a plurality of image reconstruction programs can be selected on the display device 124 under the control of the central processing unit 121, and responds to an operation of an operator of the operation console 12. When a signal designating at least one image reconstruction program PRG from the menu is input from the input device 123, the image reconstruction program PRG is designated based on the signal.
Further, the selection unit 211 reads out the selected program image reconstruction program PRG from the storage unit 22 and inputs the read program image reconstruction program PRG to the reconstruction unit 212.
[0031]
The selection unit 211 may perform the above-described selection processing based on a control signal from the central processing unit 121, for example.
The reconstruction unit 212 executes, for example, the image reconstruction program PRG selected by the selection unit 211, and generates and outputs a tomographic image based on projection data (also referred to as scan data).
[0032]
The reconstruction unit 212 includes, for example, a convolution integrator 2121, a back projection unit 2122, an imaging filter 2123, and the like, as shown in detail in FIG.
The convolution integrator 2121 performs convolution integration on the input projection data SD using a predetermined reconstruction function f_2121, and outputs the result to the backprojection unit 2122 as a signal S2121. For example, when the selection unit 211 selects the nodule program PRG_1, the reconstruction function f_2121 sets a filter that emphasizes high-frequency components and performs edge enhancement.
[0033]
The backprojection unit 2122 performs backprojection processing on the signal S2121 output from the convolution integrator 2121 based on a predetermined parameter Par_2122, and outputs a processing result as a signal S2122. For example, when the selection unit 211 selects the nodule program PRG_1, the parameter Par_2122 corresponding thereto is set.
[0034]
The imaging filter 2123 performs image filter processing on the signal S2122 output by the back projection unit 2122 based on a predetermined filter parameter Par_2123 to generate a tomographic image, and outputs the processing result as a signal S2123. For example, when the selection unit 211 selects the nodule program PRG_1, a filter parameter Par_2123, for example, an edge emphasis filter Par_1 is set accordingly.
[0035]
The computer-aided diagnosis device (CAD) 3 uses a predetermined algorithm based on the shape and properties of a detection target in a medical image (tomographic image) input via, for example, a communication network (NET) 4 to detect the detection target ( An abnormal area) candidate is detected, and the detection result is output to the operation console 12 via the communication network 4.
[0036]
The CAD 3 extracts, for example, in detail, a region to be detected from the tomographic image, and extracts a region having a large pixel value by performing a predetermined threshold process in the region. Then, based on the extracted pixel values in the region having a large pixel value, feature amount data corresponding to the type of disease, for example, circularity, is calculated, and an abnormal region candidate is identified from the feature amount data. Then, the position of the disease is identified by calculating the position of the center of gravity of the abnormal region candidate.
[0037]
The CAD 3 includes, for each type of disease, CAD having an algorithm for detecting characteristic amount data specific to the disease, for example, the shape and properties of a detection target.
The CAD 3 includes, for example, a nodular CAD 31, a GGO CAD 32, and an XX CAD 33, as shown in FIG.
[0038]
The nodule CAD 31 calculates feature amount data indicating a nodule based on, for example, the image characteristics of the nodule image V_1 reconstructed by the image reconstruction device 2, and specifies an abnormal region candidate as a detection target from the feature amount data. Then, the position of the detection target is specified by calculating the position of the center of gravity.
[0039]
The GGO CAD 32 calculates feature amount data indicating GGO based on, for example, the image characteristics of the GGO image V_2 reconstructed by the image reconstruction device 2, and specifies an abnormal region candidate as a detection target from the feature amount data. Then, the position of the detection target is specified by calculating the position of the center of gravity.
The CAD 3 includes an XX CAD 33 for extracting a region candidate to be detected for a predetermined disease XX.
[0040]
FIG. 3 is a flowchart of a medical system employing the image reconstruction device shown in FIG. The operation of the image reconstruction device 2 will be mainly described with reference to FIG.
[0041]
In the present embodiment, the CT device 1 is used as a medical imaging device. In the CT apparatus 1, the operation console 12 performs a CT scan process on the subject h in the scanning gantry 11, and outputs projection data (raw data) SD.
The projection data SD is input to the central processing unit 121 via the data acquisition buffer 122. The central processing unit 121 outputs the projection data SD to the image reconstruction device 2.
[0042]
In step ST1, projection data is input from the central processing unit 121 to the CPU 21.
In step ST2, for example, the selection unit 211 causes the display device 124 to display an image including a menu from which a plurality of image reconstruction programs can be selected under the control of the central processing unit 121. When a signal designating at least one image reconstruction program PRG is input from the input device 123 from the menu in response to the operation of the mouse or the like, the image reconstruction program PRG is selected based on the signal.
[0043]
In step ST3, the image reconstruction program PRG selected by the selection unit 211, for example, the nodule program PRG_1 is read from the storage unit 22 by the CPU 21 and set in the reconstruction unit 212.
Each component of the reconstruction unit 212 performs an image reconstruction process on the projection data SD based on the set program PRG, and generates and outputs a tomographic image emphasizing the shape or property of the detection target.
[0044]
For example, when the nodule program PRG_1 is selected, in the convolution integrator 2121, a filter for emphasizing high-frequency components and performing edge enhancement is set as the reconstruction function f_2121, and convolution integration processing is performed. In the unit 2122, a predetermined parameter Par_21222 is set to perform backprojection processing, and in the imaging filter 2123, an edge enhancement filter Par_1 is set as a filter parameter and filtering processing is performed to generate a nodule image V_1.
[0045]
When the GGO program PRG_2 is selected, a predetermined reconstruction function f_2121 is set in the convolution integrator 2121 to perform a convolution integration process, and a predetermined parameter Par_2122 is set in the backprojection unit 2122. Then, a backprojection process is performed, and in the imaging filter 2123, a smoothing filter Par_2 is set as a filter parameter, a filter process is performed, and a GGO image V_2 is generated.
[0046]
Further, even when a predetermined disease XX program PRG_3 or the like is set, the processing according to the program PRG_3 is performed and the XX image V_3 is generated.
The CPU 21 of the image reconstruction device 2 outputs the processed image V to the central processing unit 121, and outputs the image V to the CAD 3 via the communication I / F 127 and the NET 4 (ST4).
[0047]
More specifically, the central processing unit 121 stores the image V in the storage device 125 and outputs the image V to the CAD 3 via the communication I / F 127 and the NET 4.
In the CAD 3, when the nodule image V_1 is input, the nodule feature amount data is calculated by the nodule CAD 31, and abnormal region candidates and position information are extracted as detection targets. When the GGO image V_2 is input, the GGO CAD 32 calculates the GGO feature amount data, and extracts abnormal region candidates and position information as detection targets. When the predetermined disease XX image V_3 is input, the XX CAD 33 calculates XX feature amount data, and extracts abnormal region candidates and position information as detection targets.
[0048]
As described above, the image reconstruction device 2 performs the image processing suitable for the different shape and / or property of the detection target on the basis of the projection data, and performs the shape and / or property of the detection target. A storage unit 22 for storing a plurality of detection programs PRG for generating a tomographic image by emphasizing the image, and a selection unit for selecting at least one image reconstruction program PRG from the plurality of image reconstruction programs PRG stored in the storage unit 22 211 and a reconstruction unit 212 that executes the image reconstruction program PRG selected by the selection unit 211 and generates a tomographic image V using the projection data SD of the subject h output from the scanning gantry 11. Therefore, a tomographic image suitable for the shape or property of the detection target can be generated.
[0049]
In addition, by generating a tomographic image V optimized for a detection target for each disease type and providing the generated tomographic image V to the CAD 3, the detection rate of the detection target in the CAD 3 can be improved.
Further, in the present embodiment, since a nodule program including an edge enhancement filter for generating a nodule image V_1 having image characteristics with emphasized edges is provided, in CAD3, a nodule specific to a nodule based on the image characteristics of the nodule image V_1 is provided. Can be easily detected, and the detection rate of nodule abnormal region candidates as detection targets can be improved.
[0050]
Further, in the present embodiment, since a GGO program including a smoothing filter for generating a GGO image V_2 having a smoothed image characteristic is provided, the CAD 3 has a characteristic amount specific to the GGO based on the image characteristic of the GGO image V_2. Data can be easily detected, and the detection rate of GGO abnormal area candidates as detection targets can be improved.
[0051]
Note that the present invention is not limited to the present embodiment, and various suitable modifications are possible.
For example, in the present embodiment, a CT apparatus has been described as an example of a medical imaging apparatus, but the present invention is not limited to this mode. For example, the medical imaging device may be an MRI device or an ultrasonic imaging device.
[0052]
Further, in the present embodiment, the image reconstructing device 2 for performing the image reconstructing process is provided separately from the medical imaging device. However, the present invention is not limited to this embodiment. For example, the image reconstruction processing according to the present invention may be executed by the central processing unit 121, the storage device 125, and the like. Further, the image reconstruction processing according to the present invention may be performed by, for example, an image reconstruction unit in CAD3.
[0053]
Further, in the present embodiment, the edge enhancement processing is performed by the image reconstructing unit, but is not limited to this mode. For example, edge enhancement processing may be performed based on projection data in preprocessing of the image reconstruction unit.
In the edge enhancement processing, the threshold value of the edge strength, the frequency characteristics of the frequency filter, the processing range in which the edge enhancement processing is performed, and the like may be optimized so as to have the image characteristics caused by the disease.
[0054]
Further, in the present embodiment, the operator operates the input device 123 of the operation console 12, and among the plurality of image reconstruction programs stored in the storage unit 22 based on a signal corresponding to the operation from the input unit 123. Although the above-mentioned program corresponding to a predetermined disease is specified, the present invention is not limited to this mode. The selection unit may select the program corresponding to a predetermined disease from a plurality of image reconstruction programs stored in the storage unit based on predetermined conditions, for example, position information of a tomographic image of a subject. .
[0055]
【The invention's effect】
According to the present invention, it is possible to provide an image reconstructing apparatus and an X-ray tomographic imaging apparatus capable of generating a tomographic image suitable for a shape or property of a detection target.
[Brief description of the drawings]
FIG. 1 is an overall configuration diagram of an embodiment of a medical system employing an image reconstruction apparatus according to the present invention.
FIG. 2 is a functional block diagram for explaining functions of an image reconstruction device of the medical system shown in FIG. 1;
FIG. 3 is a flowchart of a medical system employing the image reconstruction device shown in FIG. 1;
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 1 ... CT apparatus, 2 ... Image reconstruction apparatus, 3 ... CAD (computer-assisted diagnostic apparatus), 4 ... Communication net (NET), 11 ... Scanning gantry, 12 ... Operation console, 13 ... Shooting table, 21 ... CPU, 22 ... Storage unit, 100 ... Medical system, 111 ... X-ray tube, 112 ... Collimator, 113 ... Detector array, 114 ... Data collection unit, 115 ... Line controller, 116 ... Collimator controller, 117 ... Rotating unit, 118 ... Rotation controller 119, a line irradiation space, 121, a central processing unit, 122, a data collection buffer, 123, an input device, 124, a display device, 125, a storage device, 126, a control interface, 127, a communication interface, 211, a selection unit, 212 ... Reconstruction unit, 2121 ... Convolution integration unit, 2122 ... Back projection unit, 2123 ... Image Gufiruta.

Claims (8)

An image reconstruction apparatus for reconstructing a tomographic image from projection data obtained by scanning a subject,
Storage means for storing a plurality of image reconstruction programs for reconstructing a tomographic image while performing image processing suitable for one or both of the shape and properties of different detection targets,
Image reconstructing means for reconstructing a tomographic image by performing image processing using the projection data using a designated image reconstructing program among a plurality of programs stored in the storage means. Component device. The image reconstruction program stored in the storage means includes:
For the projection data generated by scanning the subject, including the processing content of reconstructing the tomographic image by emphasizing one or the shape and properties of the detection target or one,
The image reconstruction apparatus according to claim 1, wherein the image reconstruction unit executes the designated image reconstruction program to reconstruct the emphasized tomographic image with respect to the projection data. The first detection target image reconstruction program stored in the storage unit performs an edge enhancement process on the projection data generated by scanning the subject, and further executes a shape and / or a property of the first detection target. Including processing contents for reconstructing the first detection target image by emphasizing one of them,
2. The image reconstruction device according to claim 1, wherein the image reconstruction means executes the designated first detection target image reconstruction program to reconstruct the emphasized first detection target image with respect to the projection data. 3. Component device. The second detection target image reconstruction program stored in the storage unit performs a smoothing process on projection data generated by scanning the subject, and determines a shape and / or property of the second detection target. Emphasizing, including processing content for reconstructing the second detection target image,
2. The image reconstruction device according to claim 1, wherein the image reconstruction unit executes the designated second detection target image reconstruction program to reconstruct the emphasized second detection target image with respect to the projection data. 3. Component device. A designating means for designating at least one image reconstruction program stored in the storage means;
The image reconstruction apparatus according to claim 1, wherein the image reconstruction unit executes an image reconstruction program designated by the designation unit to reconstruct the emphasized tomographic image with respect to the projection data. The image reconstruction apparatus according to claim 1, further comprising an output unit configured to reconstruct the tomographic image by the image reconstruction unit and output the tomographic image to a medical diagnosis support apparatus. Projection data generation means for scanning the subject using X-rays to generate projection data;
Storage means for storing a plurality of image reconstruction programs for reconstructing a tomographic image while performing image processing suitable for one or both of the shape and properties of different detection targets,
Image reconstruction means for reconstructing a tomographic image using the projection data generated by the projection data generation means, using a designated image reconstruction program among a plurality of programs stored in the storage means; and X-ray tomographic imaging apparatus having: The image reconstruction program stored in the storage means includes:
For the projection data generated by the projection data generating means, the processing includes reconstructing the tomographic image by emphasizing one or both of the shape and properties of the detection target,
The X-ray tomography according to claim 7, wherein the image reconstruction unit executes the designated image reconstruction program to reconstruct the emphasized tomographic image with respect to the projection data generated by the projection data generation unit. Imaging device.

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