Information processing device, information processing method, and information processing program
The information processing apparatus simplifies the setting of CT image reconstruction conditions by using pre-selected multi-reconstruction conditions and post-imaging analysis to streamline the process, ensuring efficient and accurate image creation.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-09-05
- Publication Date
- 2026-04-02
AI Technical Summary
Existing systems face challenges in efficiently setting image reconstruction conditions for CT images, requiring manual adjustments from scratch, which is time-consuming and prone to creating unnecessary images when multi-reconstruction conditions are set before shooting, or failing to create necessary images when some conditions are turned off.
An information processing apparatus that selects a first multi-reconstruction condition based on shooting conditions and presents a second multi-reconstruction condition after imaging, utilizing past examination conditions, analysis results, and captured image data to facilitate easier setting of post-reconstruction conditions.
Enables efficient and streamlined setting of image reconstruction conditions, reducing the need for manual adjustments and ensuring only necessary images are created, while allowing for fine-tuning of parameters based on captured image analysis.
Smart Images

Figure JP2025031508_02042026_PF_FP_ABST
Abstract
Description
Information processing device, information processing method, and information processing program
[0001] This disclosure relates to an information processing device, an information processing method, and an information processing program.
[0002] Japanese Patent Publication No. 2021-162943 discloses a CT projection data storage and processing center in a network environment, comprising: a mechanism for storing projection data collected by an X-ray CT scanner in the large-scale data storage device via the network, a mechanism for reading projection data desired by a user on the network from the large-scale data storage device and transferring it to the high-speed data processing device, a mechanism for performing image reconstruction on the projection data using image reconstruction parameters desired by the user, a mechanism for processing the reconstructed image data using image processing parameters desired by the user, and a mechanism for transferring the results to the user.
[0003] International Publication No. 2015 / 151948 describes an X-ray source for irradiating a subject with X-rays, a collimator for limiting the irradiation range of X-rays irradiated from the X-ray source, an X-ray detector positioned opposite the X-ray source for detecting X-rays that have passed through the subject, a rotating disc on which the X-ray source and the X-ray detector are mounted and which rotates around the subject, a bed for loading and unloading the subject into and out of the X-ray irradiation area, and an image reconstruction device for reconstructing an image of the subject based on the amount of transmitted X-rays detected by the X-ray detector. An X-ray CT apparatus is disclosed, comprising: a display device that displays an image reconstructed by; an X-ray irradiation area calculation unit that calculates an X-ray irradiation area in the axial direction for each viewing angle based on examination conditions; an X-ray dose calculation unit that calculates the irradiation X-ray dose for each viewing angle according to the X-ray irradiation area calculated by the X-ray irradiation area calculation unit; and a control unit that controls imaging to irradiate each X-ray irradiation area for each viewing angle calculated by the X-ray irradiation area calculation unit with the irradiation X-ray dose calculated by the X-ray dose calculation unit.
[0004] It is difficult to determine appropriate reconstruction conditions without looking at the captured image, but multi - recon can only be set before shooting. Therefore, if an attempt is made to create a multi - recon image before shooting, there is a risk of creating useless images without being able to set appropriate reconstruction conditions. On the other hand, setting the image reconstruction conditions set under multi - recon conditions when setting post - recon conditions requires all manual settings from scratch, which takes time and effort.
[0005] Therefore, an object of the present disclosure is to provide an information processing apparatus, an information processing method, and an information processing program capable of easily setting image reconstruction conditions when setting post - recon conditions, compared to the case of setting image reconstruction conditions from scratch when setting post - recon conditions.
[0006] In order to achieve the above object, an information processing apparatus according to a first aspect of the present disclosure includes a processor. The processor selects a first multi - recon condition associated with a shooting condition that can be presented before shooting from among a plurality of reconstruction image - generating multi - recon conditions associated with the shooting conditions of CT images, and based on at least one of the selection result of the first multi - recon condition and the captured image, presents a second multi - recon condition that can be presented after shooting when setting post - recon conditions.
[0007] An information processing apparatus according to a second aspect of the present disclosure is the information processing apparatus according to the first aspect, wherein when the multi - recon condition is not executed, the processor presents the first multi - recon condition as the second multi - recon condition.
[0008] An information processing apparatus according to a third aspect of the present disclosure is the information processing apparatus according to the first aspect, wherein at least one of the first multi - recon condition and the second multi - recon condition includes a recon condition used in a past examination of the subject.
[0009] An information processing apparatus according to a fourth aspect of the present disclosure is the information processing apparatus according to the third aspect, wherein the processor further presents a captured image at the time of the past examination.
[0010] In the information processing device according to the fifth aspect of this disclosure, the processor, in the information processing device according to the first aspect, receives the setting of a region of interest of a captured image and presents a second multi-recognition condition corresponding to the received setting of the region of interest.
[0011] The information processing device according to the sixth aspect of this disclosure is an information processing device according to the first aspect, wherein at least one of the first multi-reconstruction condition and the second multi-reconstruction condition includes a reconstruction condition in which a reconstruction filter corresponding to the inspection site is set.
[0012] The information processing device according to the seventh aspect of this disclosure is an information processing device according to the first aspect, wherein the second multi-recognition condition is a condition obtained by changing the presentation order of the first multi-recognition condition based on the analysis results of the captured image.
[0013] The information processing device according to the eighth aspect of this disclosure is an information processing device according to the first aspect, in which the second multi-recognition condition is a condition obtained by changing the first multi-recognition condition based on the analysis results of the captured image and changing the presentation order.
[0014] An information processing device according to the ninth aspect of this disclosure is an information processing device according to the first aspect, wherein the second multi-recon condition is a condition in which a visual effect is added to at least one of the first multi-recon conditions based on the analysis results of the captured image.
[0015] In the information processing device according to the tenth aspect of this disclosure, the processor, in the information processing device according to the first aspect, recognizes a part associated with the shooting conditions and presents reconnaissance conditions in which the field of view is set for the recognized part.
[0016] An information processing device according to the eleventh aspect of this disclosure, in an information processing device according to the first aspect, has a processor that detects motion from a captured image, and if motion is detected, presents a recon condition as a second multi-recon condition that turns on motion correction.
[0017] An information processing device according to a twelfth aspect of this disclosure, in an information processing device according to a first aspect, the processor presents a recon condition for reducing metal artifacts as a second multi-recon condition when there is metal in the captured image.
[0018] The information processing method according to the 13th aspect of this disclosure involves a computer performing a process to present a second multi-reconstruction condition that can be presented after imaging, when setting post-reconstruction conditions, based on the selection result of a first multi-reconstruction condition linked to imaging conditions that can be presented before imaging, and at least one of the captured image, from among a plurality of multi-reconstruction conditions linked to imaging conditions for generating multiple reconstructed images linked to imaging conditions for CT images.
[0019] The information processing program according to the 14th aspect of this disclosure causes a computer to perform a process to present a second multi-reconstruction condition that can be presented after imaging, when setting post-reconstruction conditions, based on the selection result of a first multi-reconstruction condition linked to imaging conditions that can be presented before imaging, and at least one of the captured image, from among the multi-reconstruction conditions that generate a plurality of reconstructed images linked to the imaging conditions of a CT image.
[0020] According to this disclosure, it is possible to provide an information processing device, an information processing method, and an information processing program that make it easier to set image reconstruction conditions when setting post-reconstruction conditions compared to setting image reconstruction conditions from scratch.
[0021] This is a diagram showing a medical imaging device according to this embodiment. This is a block diagram showing the configuration of the medical imaging device according to this embodiment. This is a diagram showing a schematic of the CT image acquisition process. This is a flowchart showing an example of the processing flow performed by the console control unit in the medical imaging device according to this embodiment. This is a flowchart showing an example of the post-reconning condition presentation process. This is a diagram showing an example of the post-reconning condition display screen. This is a diagram showing an example of the reconning condition selection screen. This is a diagram illustrating another example of calling the base multi-reconning condition in the post-reconning condition setting.
[0022] Embodiments of the present invention will be described in detail below with reference to the drawings. Note that these embodiments are not limiting to the present invention. Figure 1 is a diagram showing a medical imaging inspection apparatus according to this embodiment, and Figure 2 is a block diagram showing the configuration of the medical imaging inspection apparatus according to this embodiment.
[0023] The medical imaging device 10 according to this embodiment includes a gantry (stand) 12 for acquiring CT images, a bed 14 on which a patient 18 (an example of a patient 18) lies, and a console 16 which is a computer for operation.
[0024] As is well known, the gantry 12 uses radiation (e.g., X-rays) to irradiate a patient 18 on a bed 14 and perform CT scanning (Computed Tomography) to acquire CT images. The CT images acquire cross-sectional images of the axial, sagittal, and coronal sections. The gantry 12 is installed, for example, in the radiology department's imaging room within a medical facility.
[0025] The console 16 is an example of an information processing device and includes a monitor 20 that displays CT images acquired by the gantry 12, and an operation panel 22 that is operated by an operator such as a radiologic technologist.
[0026] As shown in Figure 2, the gantry 12, monitor 20, and operation panel 22 are connected to the control unit 24, which includes a CPU 24A as an example of a processor, memory 24B, and storage unit 24C.
[0027] The control unit 24 has the function of generating a tomographic image by performing image processing on the data output from the gantry 12, and / or displaying the generated tomographic image, by loading the information processing program stored in the storage unit 24C into the memory 24B and having the CPU 24A execute it.
[0028] Furthermore, a communication interface unit 26 is connected to the control unit 24, enabling the exchange of information such as CT images with external devices.
[0029] CT images are generated by reconstructing (hereinafter referred to as "reconstruction") the image from the raw data obtained by CT scanning using the gantry 12, and processing it to make it visible as an image. When performing reconstruction, it is preferable to set reconstruction conditions according to the area to be viewed.
[0030] Reconstruction conditions include multi-reconstruction and post-reconstruction. Multi-reconstruction reconstructs the image under conditions different from those at the time of shooting. Post-reconstruction, on the other hand, is similar to multi-reconstruction in that it reconstructs the image under conditions different from those at the time of shooting, but it differs in that it can be used at any time as long as the raw data is available.
[0031] Here, we will explain the process of acquiring CT images. Figure 3 is a schematic diagram of the process of acquiring CT images.
[0032] As shown in Figure 3, the process for acquiring CT images is as follows: first, setting the acquisition conditions 30, then acquisition 32, image creation 34, and finally, image confirmation 36.
[0033] In the shooting condition setting 30, a preset is read, and the shooting conditions are set based on the read preset.
[0034] In shooting 32, CT imaging is performed by the gantry 12 according to the conditions set in shooting condition setting 30.
[0035] In image creation 34, the image is reconstructed using the raw data obtained in shooting 32, according to the reconstitution conditions set in shooting condition setting 30.
[0036] In image verification 36, the image created in image creation 34 is checked. If it is determined that image reconstruction is not necessary, the inspection is terminated 38.
[0037] On the other hand, if it is determined in image verification 36 that the image needs to be reconstructed, the process is carried out in the order of post-reconstruction condition setting 40 and post-reconstruction 42.
[0038] In the post-reconnaissance condition setting 40, reconnaissance conditions such as changing filter conditions are set.
[0039] In post-reconstruction 42, the image is reconstructed according to the post-reconstruction conditions set in post-reconstruction condition setting 40, an image is created, and the inspection is completed 44.
[0040] Previously, it was difficult to determine which images were needed when setting the shooting conditions 30 before shooting 32. As a result, all the preset reconstruction conditions for multi-recon were set to "ON" and shooting was performed. This resulted in unnecessary images being created during image creation 34, which was time-consuming. Also, if some multi-recon were turned OFF in the shooting condition setting 30, the necessary images were not created, and it became necessary to manually set the conditions from scratch in the post-recon condition setting to create the images, which was time-consuming.
[0041] Therefore, in this embodiment, the control unit 24 performs a process to present a second multi-recon condition that can be presented after imaging when setting post-recon conditions, based on the selection result of a first multi-recon condition linked to imaging conditions that can be presented before imaging, and at least one of the captured images, from among a plurality of multi-recon conditions that generate reconstructed images linked to the imaging conditions of the CT image. Note that if the multi-recon condition was not executed when presenting the second multi-recon condition, the first multi-recon condition may be presented as the second multi-recon condition. Furthermore, at least one of the first and second multi-recon conditions may include recon conditions used in past examinations of the subject. Furthermore, at least one of the first and second multi-recon conditions may include reconstruction conditions with reconstruction filters set according to the examination site. Furthermore, the second multi-recon condition may be a condition in which the presentation order of the first multi-recon condition has been changed based on the analysis results of the captured image. Furthermore, the second multi-recon condition may be a condition in which the presentation order has been changed by modifying the first multi-recon condition based on the analysis results of the captured image. Furthermore, the second multi-recon condition may be a condition in which a visual effect is added to at least one of the first multi-recon conditions based on the analysis results of the captured images.
[0042] Specifically, first, in the shooting condition setting 30 before shooting 32, only the necessary multi-parameters are set to "ON", and the other multi-parameters are set to "OFF". As a result, only the necessary images are created in the image creation 34. When it is determined in the image confirmation 36 that post-parameters are required, in the post-parameter condition setting 40, the process of presenting the above-mentioned second multi-parameter condition is performed to call and set the base multi-parameter condition. By making it possible to call the base multi-parameter condition, there is no need to set the conditions from scratch, and post-parameters 42 can be performed only by making fine adjustments as necessary. When presenting the base multi-parameter condition, the parameter conditions that have not been executed may be presented, including the parameter conditions. Note that the multi-parameter conditions displayed before shooting correspond to the first multi-parameter conditions, and the base multi-parameter conditions correspond to the second multi-parameter conditions.
[0043] Here, the calling of the base multi-parameter condition in the post-parameter condition setting 40 will be specifically described.
[0044] As an example, appropriate parameter conditions corresponding to the captured image are presented. Specifically, there are the following four examples as an example.
[0045] - Analyze the CT value of the captured image. If a CT value equivalent to metal is detected, present the parameter condition with the metal artifact reduction function set to "ON". Note that it may be set automatically, or only recommended for display, and the final setting may be left to the user (operator).
[0046] - Analyze the captured image by performing moving object detection using AI or the like. If movement is detected, present the parameter condition with the motion correction function set to "ON". Note that it may be set automatically, or only recommended for display, and the final setting may be left to the user.
[0047] - Present the parameter condition with an appropriate filter set based on the information of the part (for example, head, chest, heart, abdomen, etc.) associated with the captured image. Note that it may be set automatically, or only recommended for display, and the final setting may be left to the user.
[0048] - When the captured image is a predetermined specific image, there is a possibility of creating a determined image next. For example, in the case of the lung field, since there is a possibility of creating an image with the right lung or the left lung enlarged next, each part is recognized from the captured image, and reconstruction conditions with an appropriate FOV (Field of View) set are presented. Note that it may be set automatically, or only recommended to be displayed, and the final setting may be left to the user. Also, it may be possible to set the margin of the FOV.
[0049] When displaying the reconstruction conditions, the presented reconstruction conditions may be presented with the display order optimized. For example, the recommended settings calculated by the system are displayed at the top. They may be displayed separately so that it is easy to distinguish between the recommended settings and the original settings.
[0050] In addition, a visual effect may be given to the presented reconstruction conditions. Specifically, by performing a highlight display or the like on the parameters changed by the system based on the analysis result, the reconstruction conditions presented in a different display mode from others may be displayed.
[0051] Also, when presenting at least one of the reconstruction conditions of the first multi-reconstruction conditions and the second multi-reconstruction conditions, the reconstruction conditions used in the past examinations of the subject may be presented. For example, the reconstruction conditions used in the past examinations of the same part of the same subject may be presented. The past image at that time may also be displayed. Displaying the past reconstruction conditions and / or images is useful in follow-up observations and the like.
[0052] Next, specific processing performed by the control unit 24 of the console 16 in the medical image inspection apparatus 10 according to the present embodiment configured as described above will be described. FIG. 4 is a flowchart showing an example of the flow of processing performed by the control unit 24 of the console 16 in the medical image inspection apparatus 10 according to the present embodiment. The processing in FIG. 4 starts, for example, when a CT imaging is instructed.
[0053] In step 100, the CPU 24A displays a shooting condition setting screen on the monitor 20 and proceeds to step 102.
[0054] In step 102, the CPU 24A determines whether or not a shooting instruction has been given. This determination determines whether or not the setting of the shooting conditions has been completed and a shooting instruction has been given. In step 102, the system waits until the determination is affirmative and then proceeds to step 104.
[0055] In step 104, the CPU 24A performs the imaging and proceeds to step 106. That is, it controls the gantry 12 to perform CT imaging.
[0056] In step 106, the CPU 24A creates an image and proceeds to step 108. That is, it creates an image by reconstructing the image using the raw data obtained from the CT scan of the gantry 12, according to the reconstitution conditions set through the shooting condition setting screen.
[0057] In step 108, the CPU 24A displays the captured image and proceeds to step 110. That is, it displays the reconstructed image on the monitor 20.
[0058] In step 110, the CPU 24A determines whether the inspection is complete or not. In step 110, if it is determined that there is no need to reconstruct the displayed image and the system is instructed to terminate, the determination is affirmative. On the other hand, if it is determined that there is a need to reconstruct the image and the system is instructed to perform post-reconstruction, the determination is negative. If the determination is affirmative, the series of processes ends; if it is negative, the system proceeds to step 112.
[0059] In step 112, the CPU 24A displays the post-reconnaissance condition setting screen and proceeds to step 114.
[0060] In step 114, CPU 24A performs post-recommendation condition presentation processing and proceeds to step 116. The post-recommendation condition presentation processing, as will be described in detail later, involves the process of presenting post-recommendation conditions.
[0061] In step 116, the CPU 24A determines whether the settings are complete or not. In step 116, for example, the CPU 24A determines whether the settings of the recon conditions presented in the post-recon condition presentation process are complete and whether post-recon has been instructed. In step 116, the system waits until the determination is affirmative and then proceeds to step 118.
[0062] In step 118, CPU 24A performs post-reprogramming according to the settings and proceeds to step 120.
[0063] In step 120, the CPU 24A displays the post-recommended image and proceeds to step 122. That is, the CPU 24A displays the post-recommended image on the monitor 20.
[0064] In step 122, the CPU 24A determines whether the inspection is complete or not. In step 122, if it is determined that there is no need to reconstruct the image after checking the displayed post-reconstruction image and the system is instructed to terminate, the determination is affirmative. On the other hand, if it is determined that there is a need to reconstruct the image and the system is instructed to perform post-reconstruction, the determination is negative. In step 122, if the determination is affirmative, the series of processes is terminated; if it is negative, the system returns to step 116 and repeats the above process.
[0065] Next, we will explain an example of the post-recommendation condition presentation process described above. Figure 5 is a flowchart showing an example of the flow of the post-recommendation condition presentation process.
[0066] In step 200, the CPU 24A analyzes the CT values of the captured image and proceeds to step 202.
[0067] In step 202, the CPU 24A determines whether the CT value is equal to or greater than a threshold (a pre-set assumption by the system or user). If the determination in step 202 is positive, the process proceeds to step 204; otherwise, the process proceeds to step 206.
[0068] In step 204, the CPU 24A presents the reconnaissance conditions for turning on the metal artifact reduction function and proceeds to step 206.
[0069] In step 206, the CPU 24A analyzes the captured image and proceeds to step 208.
[0070] In step 208, the CPU 24A determines whether or not it has detected movement. If the determination in step 208 is positive, the process proceeds to step 210; otherwise, the process proceeds to step 212.
[0071] In step 210, the CPU 24A presents the reconnaissance conditions for turning on the motion correction function and proceeds to step 212.
[0072] In step 212, the CPU 24A determines whether or not it has acquired part information. In step 212, the CPU 24A determines whether or not it has acquired part information associated with the captured image. If the determination in step 212 is affirmative, the system proceeds to step 214; otherwise, it proceeds to step 216.
[0073] In step 214, the CPU 24A presents reconnaissance conditions with filters set according to the part information, and proceeds to step 216.
[0074] In step 216, the CPU 24A determines whether or not it has recognized a body part. In step 216, for example, the CPU 24A determines whether or not the captured image is a specific image predetermined (for example, a lung field). If the determination in step 216 is affirmative, the process proceeds to step 218; otherwise, the process proceeds to step 220.
[0075] In step 218, the CPU 24A presents reconnaissance conditions with FOV set according to the part, and proceeds to step 220.
[0076] In step 220, the CPU 24A determines whether or not there are any conditions that have been used in past tests. If the determination in step 220 is positive, the process proceeds to step 222; otherwise, the process proceeds to step 224.
[0077] In step 222, the CPU 24A presents the conditions used in past inspections and proceeds to step 224. When the CPU 24A presents the conditions used in past inspections, it may also present images taken during those past inspections.
[0078] In step 224, the CPU 24A optimizes the display order of the reconnaissance conditions and completes the series of post-reconnaissance condition presentation processes, then proceeds to step 116 described above. For example, the CPU 24A displays the recommended settings determined by the system at the top. The CPU 24A may also display the recommended settings and the original settings separately. Furthermore, the CPU 24A may change the display method by highlighting the parameters of the reconnaissance conditions that the system has modified.
[0079] The presentation of post-reconnaissance conditions in the post-reconnaissance condition presentation process may be achieved, for example, by displaying them as shown in the post-reconnaissance condition display screen in Figure 6. In the example in Figure 6, the post-reconnaissance conditions are presented in the reconnaissance condition setting area 50. Also, in the example of the post-reconnaissance condition display screen in Figure 6, an example is shown in which the captured image 52 is also displayed.
[0080] The reconnaissance conditions can be changed, for example, by selecting the reconnaissance condition selection button 54 in Figure 6, which displays the reconnaissance condition selection screen shown in Figure 7, where the reconnaissance conditions can be selected. In this case, once the reconnaissance conditions are selected in the reconnaissance condition selection dialog screen and the OK button 56 is pressed, the system returns to the post-reconnaissance settings screen. Then, the post-reconnaissance conditions are completed when the execute button 58 is pressed.
[0081] Next, we will describe another example of calling the base multi-recon condition in the post-recon condition setting 40. Figure 8 is a diagram illustrating another example of calling the base multi-recon condition in the post-recon condition setting 40.
[0082] The previous method for setting the FOV was as follows: - Zoom in on the image by dragging while holding down the mouse wheel. - Move the image by dragging while holding down the right mouse button. - If zooming in and moving the image cannot be completed in one step due to the amount of mouse movement, repeat the above procedure. Alternatively, the FOV range was set by changing the value of the spin box 60.
[0083] In contrast, as shown in Figure 8, the user selects a range on the captured image by dragging, and with the range selected, the reconnaissance condition selection screen shown in Figure 7 (a reconnaissance condition selection screen where the selected range's FOV is set as the FOV of the reconnaissance condition) is called up to display the multi-reconnaissance condition with the selected range's FOV set. To execute with the displayed conditions, the reconnaissance condition is applied by operating the execute button 58 in Figure 8.
[0084] In this way, by calling up the multi-recon condition while a range is selected, a recon condition with the selected range set as the FOV is presented. This makes it simpler and requires fewer steps than the previous method of setting the FOV.
[0085] In this embodiment, each process is executed on any computer. Furthermore, any computer may execute these processes using a processor as hardware, a program as software, or a combination thereof. In that case, the processor is configured to work in cooperation with the program to execute the various processes in this embodiment, and can function as a unit or means in this embodiment. Also, the execution order of the processes by the processor is not limited to the order described and may be changed as appropriate. Any computer may be a general-purpose computer, a computer designed for a specific purpose, a workstation, or any other system capable of executing each process.
[0086] Furthermore, a processor may be composed of one or more hardware components, and the type of hardware is not limited. For example, a processor may be composed of programmable logic devices such as a CPU (Central Processing Unit), MPU (Micro Processing Unit), FPGA (Field Programmable Gate Array), dedicated circuits for executing specific processes such as an ASIC (Application Specific Integrated Circuit), a GPU (Graphic Processing Unit), or an NPU (Neural Processing Unit). Moreover, the type of hardware may be a combination of different types of hardware. When multiple hardware components are configured to execute one or more processes of a processor, these components may reside in physically separate devices or in the same device. Furthermore, in any embodiment, the order of the processes performed by the processor is not limited to the order described above and may be changed as appropriate. The hardware components are composed of electrical circuits (circuits) and the like, which are combinations of circuit elements such as semiconductor elements.
[0087] Furthermore, the program may be firmware or software such as microcode. Alternatively, the program may be, for example, a set of program modules, each function of which may be implemented by a processor configured to perform its respective function. The program may be program code and / or multiple code segments stored on one or more non-temporary computer-readable media (e.g., storage media and / or other storage). The program may be divided and stored on multiple non-temporary computer-readable media located in physically separate devices. Program code or code segments may represent any combination of procedures, functions, subprograms, routines, subroutines, modules, software packages, classes, or instructions, data structures, or program statements. Program code or code segments may be connected to other code segments or hardware circuits by sending and receiving information, data, arguments, parameters, or memory contents.
[0088] Furthermore, although the above embodiment describes an embodiment in which the information processing program is pre-stored (installed) in the storage unit 24C, the invention is not limited to this. The information processing program may be provided in the form of a recording medium such as a CD-ROM (Compact Disc Read Only Memory), DVD-ROM (Digital Versatile Disc Read Only Memory), or USB (Universal Serial Bus) memory. Alternatively, the information processing program may be provided in the form of a download from an external device via a network.
[0089] The technology disclosed herein extends to all program products. A program product includes all forms of products for providing programs. For example, a program product includes programs provided via a network such as the Internet, and non-temporary computer-readable recording media such as CD-ROMs, DVDs, and USB memory sticks on which programs are stored.
[0090] The following additional information is disclosed with respect to the above embodiments. (Addendum 1) An information processing device comprising a processor, the processor performing the process of presenting a second multi-reconstruction condition that can be presented after imaging when setting post-reconstruction conditions, based on the selection result of a first multi-reconstruction condition linked to the imaging conditions that can be presented before imaging and at least one of the captured image, from among a plurality of multi-reconstruction conditions that generate a plurality of reconstructed images linked to the imaging conditions of a CT image.
[0091] (Note 2) The information processing device according to Note 1, which, if the multi-recon condition is not executed, presents the first multi-recon condition as the second multi-recon condition.
[0092] (Note 3) The information processing device according to Note 1 or Note 2, wherein at least one of the first multi-recon condition and the second multi-recon condition includes recon conditions used in past examinations of the subject.
[0093] (Note 4) The processor is an information processing device as described in Note 3, which further presents the images captured during the past inspection.
[0094] (Appendix 5) The information processing device according to any one of Appendix 1 to 5, wherein the processor accepts the setting of a region of interest of a captured image and presents the second multi-recon condition corresponding to the accepted setting of the region of interest.
[0095] (Note 6) An information processing device according to any one of Notes 1 to 5, wherein at least one of the first multi-recon condition and the second multi-recon condition includes a reconstruction condition in which a reconstruction filter corresponding to the inspection site is set.
[0096] (Note 7) The information processing device described in any one of Notes 1 to 6, wherein the second multi-recon condition is obtained by changing the order in which the first multi-recon condition is presented based on the results of the analysis of the captured image.
[0097] (Note 8) The information processing device according to any one of Notes 1 to 7, wherein the second multi-recognition condition is obtained by changing the first multi-recognition condition based on the analysis results of the captured image and changing the presentation order.
[0098] (Note 9) The information processing device according to any one of Notes 1 to 8, wherein the second multi-recon condition is obtained by adding a visual effect to at least one of the first multi-recon condition based on the results of the analysis of the captured image.
[0099] (Note 10) The information processing device according to any one of Notes 1 to 9, wherein the processor recognizes a part associated with the shooting conditions and presents reconnaissance conditions in which the field of view is set for the recognized part.
[0100] (Note 11) The information processing device according to any one of Notes 1 to 10, wherein the processor detects motion from the captured image, and when motion is detected, presents a recon condition to turn on motion correction as the second multi-recon condition.
[0101] (Note 12) The information processing apparatus according to any one of Notes 1 to 11, wherein the processor presents a recon condition for reducing metal artifacts as the second multi-recon condition when there is metal in the captured image.
[0102] (Note 13) An information processing method in which a computer performs a process to present a second multi-reconstruction condition that can be presented after imaging, when setting post-reconstruction conditions, based on the selection result of a first multi-reconstruction condition linked to the imaging conditions that can be presented before imaging and at least one of the captured image, from among the multi-reconstruction conditions that generate a plurality of reconstructed images linked to the imaging conditions of a CT image.
[0103] (Note 14) An information processing program that causes a computer to perform a process to present a second multi-reconstruction condition, which can be presented after imaging, when setting post-reconstruction conditions, based on the selection result of a first multi-reconstruction condition linked to the imaging conditions that can be presented before imaging, and at least one of the captured image, from among the multi-reconstruction conditions that generate multiple reconstructed images linked to the imaging conditions of a CT image.
Claims
1. An information processing device comprising a processor, wherein the processor presents a second multi-reconstruction condition that can be presented after imaging, when setting post-reconstruction conditions, based on the selection result of a first multi-reconstruction condition linked to the imaging conditions that can be presented before imaging, and at least one of the captured images, from among a plurality of multi-reconstruction conditions linked to the imaging conditions of a CT image.
2. The information processing apparatus according to claim 1, wherein if the multi-recon condition is not executed, the processor presents the first multi-recon condition as the second multi-recon condition.
3. The information processing apparatus according to claim 1, wherein at least one of the first multi-recon condition and the second multi-recon condition includes recon condition used in past examinations of the subject.
4. The information processing apparatus according to claim 3, wherein the processor further presents images captured during the past inspection.
5. The information processing apparatus according to claim 1, wherein the processor receives the setting of a region of interest of a captured image and presents the second multi-recon condition corresponding to the received setting of the region of interest.
6. The information processing apparatus according to claim 1, wherein at least one of the first multi-reconstruction condition and the second multi-reconstruction condition includes a reconstruction condition in which a reconstruction filter corresponding to the inspection site is set.
7. The information processing apparatus according to claim 1, wherein the second multi-recon condition is a condition obtained by changing the order in which the first multi-recon condition is presented based on the analysis results of the captured image.
8. The information processing apparatus according to claim 1, wherein the second multi-recognition condition is a condition obtained by changing the presentation order by modifying the first multi-recognition condition based on the analysis results of the captured image.
9. The information processing apparatus according to claim 1, wherein the second multi-recon condition is a condition obtained by adding a visual effect to at least one of the first multi-recon conditions based on the results of the analysis of the captured image.
10. The information processing apparatus according to claim 1, wherein the processor recognizes a part associated with the imaging conditions and presents reconnaissance conditions in which the field of view is set for the recognized part.
11. The information processing apparatus according to claim 1, wherein the processor detects motion from the captured image, and if motion is detected, presents a recon condition as the second multi-recon condition for turning on motion correction.
12. The information processing apparatus according to claim 1, wherein the processor presents a recon condition for reducing metal artifacts as the second multi-recon condition when metal is present in the captured image.
13. An information processing method that includes, when setting post-reconstruction conditions, presenting a second multi-reconstruction condition that can be presented after imaging, based on at least one of the selection results of a first multi-reconstruction condition linked to the imaging conditions that can be presented before imaging, and the captured image, from among the multi-reconstruction conditions that generate multiple reconstructed images linked to the imaging conditions of a CT image.
14. An information processing program that causes a computer to perform a process that includes presenting a second multi-reconstruction condition, which can be presented after imaging, when setting post-reconstruction conditions, based on the selection result of a first multi-reconstruction condition linked to the imaging conditions that can be presented before imaging, and at least one of the captured images, from among the multi-reconstruction conditions that generate multiple reconstructed images linked to the imaging conditions of a CT image.
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