X-ray image processing device, X-ray diagnostic device, and program

Abstract

To reduce exposure with a suppressed burden on a user.SOLUTION: An x-ray image processing device according to the embodiment comprises transparency related information acquisition means, image quality evaluation means, and processing execution means. The transparency related information acquisition means acquires transparency related information related with a transparent image to be evaluated. The image quality evaluation means evaluates the image quality of the transparent image to be evaluated based on the transparency related information. The processing execution means executes processing based on the image quality evaluated by the image quality evaluation means.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The embodiments disclosed in the present specification and drawings relate to an X-ray image processing apparatus, an X-ray diagnostic apparatus, and a program. [Background technology]

[0002] In an X-ray fluoroscopy, a user such as a radiological technologist waits for the right timing to photograph the subject while observing the fluoroscopic images (moving images) of the subject that are continuously displayed on the display, and presses the exposure switch at the right timing to photograph the subject with X-rays. In X-ray fluoroscopy, a lower dose of X-rays is irradiated onto the subject than in X-ray photography, and the fluoroscopic images have lower image quality than the photographed images (still images) obtained by X-ray photography.

[0003] In recent years, image quality improvement technology using AI (Artificial Intelligence) etc. has improved, and it has become possible to obtain high-quality X-ray images from low-quality X-ray images. If an X-ray image with image quality that meets diagnostic standards (image quality that can be used as a diagnostic image) is obtained by improving the image quality of a fluoroscopic image, the X-ray image can be saved as a diagnostic image, and there is no need to collect captured images, which can reduce the subject's exposure to radiation.

[0004] However, if the quality of a fluoroscopic image (original X-ray image) is poor, an X-ray image with quality that meets the diagnostic criteria cannot be obtained even if the image quality of the fluoroscopic image is improved. Therefore, while observing the fluoroscopic image of the subject displayed on the display, the user must instantly decide whether to save the fluoroscopic image (whether an X-ray image with the same quality as the captured image can be obtained by improving the image quality) or to take an X-ray, at the timing of saving the X-ray image (diagnostic image), which places a heavy burden on the user. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2019-25112 A Summary of the Invention [Problem to be solved by the invention]

[0006] One of the problems to be solved by the embodiments disclosed in this specification and the drawings is to reduce the burden on the user and the radiation exposure of the subject. However, the problems to be solved by the embodiments disclosed in this specification and the drawings are not limited to the above problem. Problems corresponding to the effects of each configuration shown in the embodiments described later can also be positioned as other problems. [Means for solving the problem]

[0007] The X-ray image processing apparatus according to the embodiment includes a fluoroscopy-related information acquisition means, an image quality evaluation means, and a processing execution means. The fluoroscopy-related information acquisition means acquires fluoroscopy-related information related to a fluoroscopy image to be evaluated. The image quality evaluation means evaluates the image quality of the fluoroscopy image to be evaluated based on the fluoroscopy-related information. The processing execution means executes processing based on the image quality evaluated by the image quality evaluation means. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a block diagram showing an example of the configuration of an X-ray diagnostic apparatus according to the first embodiment. [Diagram 2] FIG. 2 is a flowchart showing a procedure of processing by the X-ray diagnostic apparatus according to the first embodiment. [Figure 3A] FIG. 3A is a diagram for explaining processing by each function according to the first embodiment. [Figure 3B] FIG. 3B is a diagram for explaining the processing by each function according to the first embodiment. [Figure 4A] FIG. 4A is a diagram showing an example of display of an evaluation result according to the first embodiment. [Figure 4B] FIG. 4B is a diagram showing an example of a display of an evaluation result according to the first embodiment. [Diagram 5] FIG. 5 is a block diagram showing an example of the configuration of an X-ray diagnostic apparatus according to the second embodiment. [Figure 6A] FIG. 6A is a diagram for explaining processing by each function according to the second embodiment. [Figure 6B] FIG. 6B is a diagram for explaining the processing by each function according to the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, the embodiments of the X-ray image processing device, the X-ray diagnostic device, and the program will be described in detail with reference to the drawings. Note that the X-ray image processing device, the X-ray diagnostic device, and the program according to the present application are not limited to the embodiments shown below. In addition, in the following description, the same components are given the same reference numerals, and duplicated descriptions are omitted.

[0010] (First embodiment) 1 is a block diagram showing an example of the configuration of an X-ray diagnostic apparatus 1 according to the first embodiment. As shown in FIG.

[0011] The imaging unit 10 irradiates X-rays onto the subject P and detects the X-rays that have passed through the subject P. The X-ray image processing unit 20 causes the imaging unit 10 to irradiate X-rays and performs image processing based on the X-rays detected by the imaging unit 10.

[0012] The imaging unit 10 has an X-ray high voltage device 11, an X-ray tube 12, an X-ray aperture 13, a tabletop 14, an X-ray detector 15, a C-arm 16, a drive circuit 17, and a system control circuit 18.

[0013] The X-ray high voltage device 11 generates a high voltage under the control of the system control circuit 18. The X-ray tube 12 irradiates X-rays based on the high voltage applied by the X-ray high voltage device 11. The X-ray aperture 13 includes, for example, a pair of aperture blades provided on each of the top and bottom and the left and right (a total of four blades). The aperture blades are formed in a flat plate shape from a material such as lead that blocks X-rays. The X-ray aperture 13 opens and closes the aperture blades under the control of the system control circuit 18 to form an irradiation range (irradiation field) of the X-rays irradiated from the X-ray tube 12.

[0014] The top board 14 is a bed on which the subject P rests, and is placed on the bed. The X-ray detector 15 is, for example, an X-ray flat panel detector (FPD) having detection elements arranged in a matrix. The X-ray detector 15 detects X-rays irradiated from the X-ray tube 12 and transmitted through the subject P, and outputs a detection signal (X-ray detection signal) corresponding to the detected X-ray amount to the processing circuitry 21.

[0015] The C-arm 16 holds the X-ray tube 12 and the X-ray aperture 13, and the X-ray detector 15 so that they face each other across the subject P. The drive circuit 17 drives the C-arm 16 under the control of the system control circuit 18, and rotates and moves it relative to the subject P.

[0016] The system control circuit 18 is realized by, for example, a processor. The system control circuit 18 receives a control signal from the X-ray image processing unit 20, and controls the operation of the entire imaging unit 10 by controlling the X-ray high voltage device 11, the X-ray aperture 13, the X-ray detector 15, and the drive circuit 17 based on the control signal.

[0017] The X-ray image processing unit 20 includes a processing circuitry 21, an input interface 22, a display 23, and a memory circuitry 24.

[0018] The input interface 22 is composed of an input device that accepts various input operations from a user such as a diagnostic radiologist. The input interface 22 accepts an input operation from the user and outputs an electrical signal corresponding to the accepted input operation to the processing circuit 21. For example, the input interface 22 includes a mouse, a keyboard, and a trackball. The input interface 22 also includes, as operation buttons that accept operations from the user, a fluoroscopy save button 221 that instructs saving of a fluoroscopy image and an image capture button 222 for executing image capture. The fluoroscopy save button 221 and the image capture button 222 are composed of, for example, a hand switch (exposure switch, etc.) or a foot switch that accepts operations by the user's hand or foot. Furthermore, the input interface 22 may be composed of a touch pad that performs input operations by touching an operation surface, a non-contact input circuit using an optical sensor, a voice input circuit, etc.

[0019] The display 23 is composed of a display device that displays various information. For example, the display 23 displays X-ray images (fluoroscopic images and photographed images) of the subject P acquired based on X-ray fluoroscopy. The display 23 also displays various information such as a GUI (Graphical User Interface) and photographing conditions related to the X-ray images.

[0020] The memory circuitry 24 is composed of, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, a hard disk, an optical disk, etc. The memory circuitry 24 stores various information used by the processing circuitry 21 or generated by the processing circuitry 21. For example, the memory circuitry 24 stores various information such as X-ray images (fluoroscopic images and photographed images) of the subject P collected based on X-ray fluoroscopy, a GUI, and photographing conditions related to the X-ray images. The memory circuitry 24 also stores programs that cause the processing circuitry 21 to function as a fluoroscopy-related information acquisition function 211, an image quality evaluation function 212, and a processing execution function 213.

[0021] The processing circuit 21 is composed of, for example, a processor. The processing circuit 21 controls each component of the X-ray image processing unit 20 and the system control circuit 18 of the imaging unit 10, thereby controlling the entire X-ray diagnostic apparatus 1. Specifically, the processing circuit 21 supplies a control signal to the system control circuit 18 and causes the imaging unit 10 to irradiate X-rays. The processing circuit 21 also receives a detection signal corresponding to the X-rays detected by the imaging unit 10 from the imaging unit 10, and generates an X-ray image.

[0022] Moreover, the processing circuitry 21 reads out and executes the programs stored in the memory circuitry 24, thereby functioning as a fluoroscopy related information acquisition function 211, an image quality evaluation function 212, and a processing execution function 213. The fluoroscopy related information acquisition function 211 is an example of a fluoroscopy related information acquisition means. The image quality evaluation function 212 is an example of an image quality evaluation means. The processing execution function 213 is an example of a processing execution means.

[0023] An example of the configuration of the X-ray diagnostic device 1 according to the present embodiment has been described above. Conventionally, in an X-ray fluoroscopy, a user such as a diagnostic radiologist waits for the timing of photographing the subject (the timing of collecting and saving diagnostic images) while observing the fluoroscopic images (moving images) of the subject displayed continuously on the display, and performs X-ray photography of the subject by pressing an exposure switch at the photographing timing. For example, in an X-ray fluoroscopy of the stomach, a subject who has taken barium (contrast agent) is irradiated with a low dose of X-rays, and fluoroscopic images (moving images) are continuously collected. A user waits for the timing of photographing an X-ray image (still image) to be saved as a diagnostic image while observing the flow and accumulation of the contrast agent from the fluoroscopic image of the subject displayed on the display, and performs the photographing operation of the X-ray image at the photographing timing. In X-ray fluoroscopy, a lower dose of X-rays is irradiated to the subject than in X-ray photography, and the fluoroscopic image has a lower image quality than the photographed image (still image) obtained by X-ray photography.

[0024] In recent years, image quality improvement technology using AI (Artificial Intelligence) and the like has improved, and it has become possible to obtain high-quality X-ray images from low-quality X-ray images. If an X-ray image with image quality that satisfies diagnostic standards (image quality that can be used as a diagnostic image, for example, image quality equivalent to that of a photographed image) can be obtained by performing image quality improvements such as noise reduction, super-resolution, and high resolution on a fluoroscopic image, the X-ray image can be saved as a diagnostic image, and collection of photographed images becomes unnecessary, thereby reducing the radiation exposure of the subject.

[0025] However, if the quality of a fluoroscopic image (original X-ray image) is poor, even if the image quality of the fluoroscopic image is improved, an X-ray image having image quality that meets the diagnostic criteria cannot be obtained. Therefore, while observing the fluoroscopic image of the subject displayed on the display, the user must instantly decide whether to save the fluoroscopic image (whether an X-ray image having the same image quality as the photographed image can be obtained by improving the image quality) or to take an X-ray photograph at the timing of saving the X-ray image (diagnostic image), which places a heavy burden on the user. In addition, applying image quality improvement to all frames (each frame) of the collected fluoroscopic images increases processing load and time.

[0026] Therefore, the X-ray diagnostic apparatus 1 does not improve the image quality of all frames (each frame) of the collected fluoroscopic images, thereby reducing the burden on users such as radiological technologists and the radiation exposure of the subject P. The processing circuitry 21 of the X-ray diagnostic apparatus 1 performs (1) a process of acquiring fluoroscopic related information related to the fluoroscopic image to be evaluated, (2) a process of evaluating the image quality of the fluoroscopic image to be evaluated based on the acquired fluoroscopic related information, and (3) a process based on the evaluation result of the image quality.

[0027] 2 is a flowchart showing the procedure of processing performed by the processing circuitry 21 of the X-ray diagnostic apparatus 1. For example, when a user performs an operation to start collecting fluoroscopic images via the input interface 22 (for example, an operation to step on a foot switch), the processing circuitry 21 reads out and executes (starts) a program stored in the storage circuitry 24. As a result, the processing circuitry 21 functions as a fluoroscopy-related information acquisition function 211, an image quality evaluation function 212, and a processing execution function 213.

[0028] The fluoroscopy related information acquisition function 211 sets the frame number N of the fluoroscopy image to be collected to "N=0" (step S101), and then sets the frame number N to "N=N+1" (step S102). The fluoroscopy related information acquisition function 211 acquires the fluoroscopy related information of the Nth frame (step S103). That is, after starting execution of the program, the fluoroscopy related information acquisition function 211 first acquires the fluoroscopy related information of the first frame.

[0029] The fluoroscopy related information is, for example, a fluoroscopy image of the Nth frame (here, the first frame). The fluoroscopy related information acquisition function 211 receives a detection signal of X-rays detected by the X-ray detector 15 of the imaging unit 10, generates a fluoroscopy image of the Nth frame based on the detection signal, and acquires it as the fluoroscopy related information.

[0030] The fluoroscopy-related information is information related to a fluoroscopy image to be evaluated. The fluoroscopy image to be evaluated is, for example, a fluoroscopy image with image quality improved from an Nth frame (here, the first frame) fluoroscopy image. Image quality improvement includes, for example, noise reduction, super-resolution, high-resolution processing, etc., and can be selected appropriately and arbitrarily. Noise reduction is processing for reducing various noise components contained in a fluoroscopy image. Super-resolution is processing for generating a high-resolution fluoroscopy image based on a plurality of fluoroscopy images. High-resolution is processing for generating a high-resolution fluoroscopy image by analyzing features contained in one fluoroscopy image.

[0031] The image quality evaluation function 212 evaluates the image quality of a fluoroscopic image (an evaluation target fluoroscopic image) that has been improved in image quality based on an Nth frame (first frame here) fluoroscopic image (fluoroscopic related information). That is, the image quality evaluation function 212 evaluates the image quality of a fluoroscopic image when image quality improvement processing is performed based on the Nth frame fluoroscopic image. The image quality evaluation function 212 calculates a predetermined evaluation index for the fluoroscopic related information acquired by the fluoroscopic related information acquisition function 211 (step S104). The evaluation index includes the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and luminance value of the fluoroscopic image. For example, the image quality evaluation function 212 calculates the SNR of the Nth frame (first frame here) fluoroscopic image acquired as the fluoroscopic related information.

[0032] The image quality evaluation function 212 evaluates the image quality of the fluoroscopic image to be evaluated based on the calculated evaluation index (step S105). For example, the image quality evaluation function 212 evaluates the image quality of the fluoroscopic image (the fluoroscopic image to be evaluated) when an image quality improvement process is performed on the fluoroscopic image based on the calculated SNR.

[0033] Specifically, the image quality evaluation function 212 outputs an evaluation result of "1" if the calculated SNR exceeds a preset threshold, and outputs an evaluation result of "0" if the SNR is equal to or less than the threshold. An evaluation result of "1" indicates that the image quality of the improved fluoroscopic image (the fluoroscopic image to be evaluated) meets the diagnostic criteria (can be used as a diagnostic image). An evaluation result of "0" indicates that the image quality of the improved fluoroscopic image does not meet the diagnostic criteria (cannot be used as a diagnostic image).

[0034] The threshold is a reference value for evaluating whether or not a fluoroscopic image has image quality that satisfies a diagnostic criterion (image quality that can be used as a diagnostic image) when image quality improvement processing is performed on the fluoroscopic image. For example, the threshold is set based on the SNR of an X-ray image before image quality improvement for an X-ray image that has image quality that satisfies a diagnostic criterion by performing image quality improvement processing. In this way, the image quality evaluation function 212 evaluates the image quality of a fluoroscopic image (the fluoroscopic image to be evaluated) that has been improved in image quality with respect to the fluoroscopic image of the Nth frame (the first frame here) based on the fluoroscopic image (fluoroscopic related information) of the Nth frame (the first frame here).

[0035] The processing execution function 213 displays information based on the evaluation result output by the image quality evaluation function 212 on the display 23 together with the fluoroscopic image of the Nth frame (here, the first frame) generated by the fluoroscopic related information acquisition function 211 (step S106). Specifically, as shown in Figs. 3A and 4A, when the image quality evaluation function 212 outputs the evaluation result "1", the processing execution function 213 displays information identifying that the fluoroscopic image can be saved (fluoroscopic save OK) together with the fluoroscopic image. On the other hand, as shown in Figs. 3B and 4B, when the image quality evaluation function 212 outputs the evaluation result "0", the processing execution function 213 displays information identifying that the fluoroscopic image cannot be saved (fluoroscopic save NG) together with the fluoroscopic image. Note that Figs. 3A and 3B are diagrams for explaining the processing by each function according to the first embodiment. Also, Figs. 4A and 4B are diagrams showing an example of the display of the evaluation result according to the first embodiment.

[0036] Based on the identification information, the user can confirm whether the fluoroscopic image displayed on the display 23 can be saved. The information identifying whether the fluoroscopic image can be saved may be expressed by light, sound, vibration, or the like, other than text. For example, the processing execution function 213 may emit light in green when the fluoroscopic image can be saved, and emit light in red when the fluoroscopic image cannot be saved. The information identifying whether the fluoroscopic image can be saved may be displayed on the display 23 only when the fluoroscopic image can be saved or cannot be saved. For example, the frame portion of the fluoroscopic image may be illuminated in green when the fluoroscopic image can be saved, and may not be illuminated when the fluoroscopic image cannot be saved.

[0037] Thereafter, the processing execution function 213 determines whether the collection of fluoroscopic images has been completed (step S107). For example, the processing execution function 213 determines whether the collection of fluoroscopic images has been completed based on whether an operation to end the collection of fluoroscopic images (for example, an operation to release the foot switch) has been received via the input interface 22. If the processing execution function 213 has not received an operation to end the collection of fluoroscopic images (step S107; No), the processing execution function 213 performs the same process as described above on the fluoroscopic image of the next frame (here, the second frame) (steps S102 to S107). Furthermore, the processing execution function 213 repeats the above series of processes for each frame until an operation to end the collection of fluoroscopic images is received (steps S102 to S107). On the other hand, if the processing execution function 213 has received an operation to end the collection of fluoroscopic images (step S107; Yes), the processing execution function 213 ends the process (end).

[0038] As described above, according to the X-ray diagnostic apparatus 1 of the first embodiment, the fluoroscopy-related information acquisition function 211 acquires fluoroscopy-related information related to the fluoroscopy image to be evaluated. The image quality evaluation function 212 evaluates the image quality of the fluoroscopy image to be evaluated based on the fluoroscopy-related information. The processing execution function 213 executes processing based on the image quality evaluated by the image quality evaluation function 212. The X-ray diagnostic apparatus 1 does not perform image quality improvement on all frames (each frame) of the collected fluoroscopy images, thereby reducing the burden on users such as clinical radiologists and reducing radiation exposure to the subject P.

[0039] Furthermore, the X-ray diagnostic apparatus 1 displays information identifying whether or not the fluoroscopic image can be saved (fluoroscopic save OK or fluoroscopic save NG) on the display 23 together with the fluoroscopic image, so that the user can quickly and easily determine whether or not the fluoroscopic image can be saved and whether or not it is necessary to collect captured images by checking the information identifying whether or not the fluoroscopic image can be saved displayed on the display 23, and can appropriately operate the fluoroscopic save button 221 and the capture button 222.

[0040] In the first embodiment, the example has been described in which the acquisition of fluoroscopy-related information, the image quality evaluation of the fluoroscopic image to be evaluated, and the execution of processing based on the evaluated image quality are performed for each frame of continuously collected fluoroscopic images, but these processes may be performed for each plurality of frames. For example, when the fluoroscopic images are displayed on the display 23 at a frame rate of 15 fps, the acquisition of fluoroscopy-related information, the image quality evaluation of the fluoroscopic image to be evaluated, and the execution of processing based on the evaluated image quality may be performed for every 15 frames. In this case, the information identifying whether or not the fluoroscopic image displayed on the display 23 can be saved may be updated at one-second intervals, or erased after a predetermined time (e.g., 0.5 seconds).

[0041] In the first embodiment, an example has been described in which the processing executing function 213 displays information based on the evaluation result output by the image quality evaluating function 212 on the display 23 together with the Nth frame fluoroscopic image generated by the fluoroscopic related information acquiring function 211, but the fluoroscopic image and the information based on the evaluation result may be displayed on the display 23 at different timings. For example, the processing executing function 213 may set a display rate of the evaluation index for the fluoroscopic image lower than a display rate of the fluoroscopic image, and in this case, after the fluoroscopic image is displayed on the display 23, information based on the evaluation result for the fluoroscopic image is displayed on the display 23.

[0042] Furthermore, when the fluoroscopy save button 221 is pressed while information indicating that the fluoroscopy image can be saved (fluoroscopy save OK) is displayed on the display 23, the processing execution function 213 may perform image quality improvement (e.g., noise reduction, super-resolution, high-resolution processing, etc.) on the fluoroscopy image (corresponding fluoroscopy image) displayed on the display 23, and store the fluoroscopy image after image quality improvement in the storage circuitry 24. This allows an X-ray image having image quality that satisfies the diagnostic criteria (image quality that can be used as a diagnostic image) to be obtained, and collection of captured images becomes unnecessary, thereby reducing the radiation exposure of the subject. Note that image quality improvement may be performed using AI such as a machine-learned model or a rule base, or may be performed by calculation processing without using AI.

[0043] Furthermore, when the fluoroscopy save button 221 is pressed while information indicating that the fluoroscopy image can be saved (fluoroscopy save OK) is displayed on the display 23, the processing execution function 213 may store in the storage circuitry 24 the fluoroscopy image (corresponding fluoroscopy image) displayed on the display 23 with information identifying that image quality improvement is to be performed after the fluoroscopy examination is completed. In this case, the processing circuitry 21 may perform image quality improvement (e.g., noise reduction, super-resolution, high-resolution processing, etc.) on the fluoroscopy image (corresponding fluoroscopy image) at any timing, such as when the fluoroscopy image is read from the storage circuitry 24 or when a predetermined date and time arrives, and store the fluoroscopy image after image quality improvement in the storage circuitry 24. As a result, an X-ray image having image quality that satisfies the diagnostic criteria (image quality that can be used as a diagnostic image) is obtained, and collection of captured images is not required, so that radiation exposure of the subject can be reduced.

[0044] In addition, when the shooting button 222 is pressed while information indicating that the fluoroscopic image cannot be saved (fluoroscopic save NG) is displayed on the display 23, the processing execution function 213 performs X-ray photography of the subject P and stores the captured image (X-ray image) obtained by the X-ray photography in the memory circuitry 24.

[0045] In the first embodiment, an example in which the Nth frame fluoroscopic image is acquired as the fluoroscopic related information has been described, but various conditions set for fluoroscopic image acquisition may be acquired as the fluoroscopic related information. Furthermore, the image quality of the improved fluoroscopic image (the fluoroscopic image to be evaluated) may be evaluated based on the acquired various conditions, and information identifying whether the fluoroscopic image can be saved (fluoroscopic save OK or fluoroscopic save NG) may be displayed on the display 23 based on the image quality evaluation result.

[0046] The various conditions include X-ray conditions, geometric conditions, control conditions, etc. The X-ray conditions are conditions related to the X-rays irradiated to the subject P, and include tube voltage, tube current, focal spot size, radiation quality filter, dose, pulse width, etc. The geometric conditions are conditions indicating the positional relationship between the X-ray tube 12, the subject P, and the X-ray detector 15, and include, for example, the distance between the X-ray tube 12 and the X-ray detector 15 (Source Image Distance: SID). The control conditions are information for controlling the X-ray tube 12 and the bed.

[0047] For example, the image quality evaluation function 212 compares the acquired conditions with a threshold value preset for the conditions, and outputs the evaluation result "1" if the threshold value is exceeded, and outputs the evaluation result "0" if the threshold value is not exceeded. Note that the threshold value is set based on the conditions when the X-ray image before the image quality improvement process was performed and the X-ray image has image quality that meets the diagnostic criteria.

[0048] The evaluation index may be obtained from the above various conditions, not from the fluoroscopic image itself. For example, the image quality evaluation function 212 may calculate the SNR (evaluation index) of the fluoroscopic image based on the X-ray conditions acquired as the fluoroscopic related information. In such a case, the image quality evaluation function 212 calculates the SNR using, for example, a correspondence relationship between the X-ray conditions of the fluoroscopic image and the SNR estimated for the fluoroscopic image, which is previously associated. Here, the above correspondence relationship may be constructed by machine learning. Then, as in the first embodiment, the image quality evaluation function 212 outputs "1" as the evaluation result when the calculated SNR exceeds a preset threshold, and outputs "0" as the evaluation result when the calculated SNR is equal to or less than the threshold. Note that the same can be implemented when the above setting conditions other than the X-ray conditions are used as the fluoroscopic related information, or when the above evaluation index other than the SNR is determined.

[0049] Also, various information obtained during collection of the fluoroscopic image may be acquired as fluoroscopic related information. Furthermore, the image quality of the fluoroscopic image after image quality improvement (the fluoroscopic image to be evaluated) may be evaluated based on the various acquired information, and information identifying whether or not the fluoroscopic image can be saved (fluoroscopic save OK or fluoroscopic save NG) may be displayed on the display 23 based on the image quality evaluation result.

[0050] The various information includes the X-ray detection signal detected by the X-ray detector 15, the exposure dose to the subject P, the incident dose to the X-ray detector 15 (estimated value or actual measured value), the dose index (EI (Exposure Index) value or DI (Deviation Index) value), the condition of the subject P (the amount of movement of the subject P between fluoroscopic images), etc.

[0051] For example, the image quality evaluation function 212 compares the acquired information with a threshold value previously set for the information, and outputs the evaluation result "1" if the threshold value is exceeded, and outputs the evaluation result "0" if the threshold value is not exceeded. Note that the threshold value is set based on information when the X-ray image before the image quality improvement process was performed and the X-ray image has image quality that meets the diagnostic criteria.

[0052] The evaluation index may be obtained from the above-mentioned various information, not from the fluoroscopic image itself. For example, the image quality evaluation function 212 may calculate the SNR (evaluation index) of the fluoroscopic image based on the irradiation dose to the subject P acquired as the fluoroscopic related information. In such a case, the image quality evaluation function 212 calculates the SNR using, for example, information on the SNR for each irradiation dose associated in advance. Then, similarly to the first embodiment, the image quality evaluation function 212 outputs "1" as the evaluation result when the calculated SNR exceeds a preset threshold, and outputs "0" as the evaluation result when the calculated SNR is equal to or less than the threshold. Note that the same can be implemented when the collected information other than the irradiation dose to the subject P is used as the fluoroscopic related information, or when the evaluation index other than the SNR is determined.

[0053] The evaluation index may be the fluoroscopy-related information itself. For example, the X-ray conditions acquired as the fluoroscopy-related information may be used as the evaluation index, and the image quality evaluation function 212 may output an evaluation result of "1" or "0" based on a comparison between the X-ray conditions and a corresponding threshold value. In addition, when the movement amount of the subject P between the fluoroscopy images is large, there is a risk of blurring due to the movement of the subject P between the fluoroscopy images. Therefore, the state of the subject P (the movement amount of the subject P between the fluoroscopy images) may be used as the evaluation index, and the image quality evaluation function 212 may output an evaluation result of "1" or "0" based on a comparison between the state of the subject P and a corresponding threshold value.

[0054] The threshold value corresponding to the evaluation index may be set based on whether or not a fluoroscopic image after image quality improvement (a fluoroscopic image to be evaluated) can be saved, as determined by a user. For example, when the irradiation dose is used as the evaluation index, image quality improvement is performed on each fluoroscopic image acquired by irradiating a subject with different irradiation doses multiple times, and the user determines whether or not each fluoroscopic image after image quality improvement (a fluoroscopic image to be evaluated) can be saved. The threshold value corresponding to the irradiation dose (evaluation index) may be set to an intermediate value of the irradiation dose corresponding to two fluoroscopic images for which the user's determination changes from savable to unsavable.

[0055] In the first embodiment, an example has been described in which an evaluation result of "1" or "0" is output based on a comparison result between the evaluation index and a preset threshold value, but an evaluation of the evaluation index may be performed using an AI such as a trained model based on machine learning or a rule base, and the evaluation result may be output. For example, the image quality evaluation function 212 may input fluoroscopy-related information or an evaluation index to the trained model described above, and obtain an evaluation result of "1" or "0" obtained as an output result of the trained model.

[0056] Furthermore, the fluoroscopy-related information acquisition function 211 may acquire a combination of multiple types of fluoroscopy-related information, and the image quality evaluation function 212 may comprehensively evaluate the image quality of the fluoroscopy image to be evaluated based on the multiple types of fluoroscopy-related information. That is, multiple types of fluoroscopy-related information selectively combined from the Nth frame fluoroscopy image, various conditions set for fluoroscopy image acquisition, and various information obtained during fluoroscopy image acquisition may be acquired, and the image quality of the fluoroscopy image to be evaluated may be comprehensively evaluated based on the evaluation results corresponding to each of the multiple types of fluoroscopy-related information.

[0057] Furthermore, when the image quality evaluation function 212 outputs an evaluation result of "0", that is, when the fluoroscopic image cannot be saved, the processing execution function 213 may display a message encouraging the user to change various conditions on the display 23. For example, when the image quality evaluation function 212 outputs an evaluation result of "0" a predetermined number of times in succession, the processing execution function 213 displays a message recommending the user to change any of the X-ray conditions, the geometric conditions, or the control conditions on the display 23.

[0058] Furthermore, the processing execution function 213 may perform automatic brightness control (ABC) based on the evaluation result of the image quality by the image quality evaluation function 212. ABC is a control that feeds back a statistical value of pixel values ​​in a fluoroscopic image (for example, an average value of pixels in a region of interest) to the X-ray conditions of fluoroscopy of the next frame, and brings the statistical value closer to a target value. Specifically, the processing execution function 213 determines a target value of pixel values ​​of a fluoroscopic image as a luminance value of a fluoroscopic image that is determined to be savable, and executes ABC using the determination result for the fluoroscopic image. For example, when the processing execution function 213 determines that the fluoroscopic image to be evaluated is not savable, it changes the X-ray conditions of fluoroscopy so as to increase the dose by setting a luminance value determined to be savable as a target. On the other hand, when the processing execution function 213 determines that the fluoroscopic image to be evaluated is savable, it executes the existing ABC.

[0059] The image quality evaluation function 212 may evaluate the image quality of the fluoroscopic image to be evaluated according to the type of image quality improvement processing for reducing noise. Specifically, the processing execution function 213 may determine the evaluation criteria according to the characteristics of each type of image processing applied to the fluoroscopic image when performing image quality improvement. For example, when image processing that is good at reducing noise is executed on the fluoroscopic image to be saved, the image quality evaluation function 212 changes the threshold value corresponding to the evaluation index of the image quality to be lower than normal. Thereby, the processing execution function 213 can determine that even a fluoroscopic image with a somewhat poor image quality can be saved, and generate a fluoroscopic image that can be used as a diagnostic image by executing image processing that is good at reducing noise. Since the X-ray diagnostic apparatus 1 can generate a fluoroscopic image with improved image quality from a fluoroscopic image, it is possible to reduce radiation exposure. Note that the image processing for which the processing execution function 213 determines the evaluation criteria of image quality according to the characteristics is not limited to one. For example, even when the processing execution function 213 performs noise reduction using multiple types of image processing, the evaluation criteria of image quality may be determined according to the characteristics of the entire image processing consisting of the multiple image processing.

[0060] Furthermore, the processing execution function 213 may enable either the fluoroscopic save button 221 or the image capture button 222 and disable the other, based on the result of the evaluation by the image quality evaluation function 212. For example, if the evaluation result by the image quality evaluation function 212 is "1", this indicates that the image quality of the fluoroscopic image after the image quality improvement (the fluoroscopic image to be evaluated) meets the diagnostic criterion, so the processing execution function 213 enables the fluoroscopic save button 221 and disables the image capture button 222. If the evaluation result by the image quality evaluation function 212 is "0", this indicates that the image quality of the fluoroscopic image after the image quality improvement (the fluoroscopic image to be evaluated) does not meet the diagnostic criterion, so the processing execution function 213 disables the fluoroscopic save button 221 and enables the image capture button 222. This makes it possible to prevent unnecessary exposure to radiation on the subject P even if the user erroneously operates the fluoroscopic save button 221 or the image capture button 222.

[0061] Second embodiment In the first embodiment, an example was described in which two operation buttons, a button for fluoroscopy saving (fluoroscopy saving button 221) and a button for photographing (photographing button 222), are separate. In the second embodiment, an example is described in which one operation button is used commonly for both fluoroscopy saving and photographing.

[0062] Fig. 5 is a block diagram showing an example of the configuration of an X-ray diagnostic apparatus according to the second embodiment. As shown in Fig. 5, the input interface 22 has one operation button 223. The processing execution function 213 selectively switches the operation button 223 between a function for fluoroscopy storage and a function for imaging, based on the result of the image quality evaluation by the image quality evaluation function 212.

[0063] Specifically, as shown in Fig. 6A, when the image quality assessment function 212 outputs an assessment result of "1", the processing execution function 213 controls the operation button 223 to function as a fluoroscopy storage function. Also, as shown in Fig. 6B, when the image quality assessment function 212 outputs an assessment result of "0", the processing execution function 213 controls the operation button 223 to function as a radiography function. Note that Figs. 6A and 6B are diagrams for explaining the processing by each function according to the second embodiment.

[0064] As described above, according to the X-ray diagnostic apparatus 1 of the second embodiment, the processing execution function 213 controls whether the operation button 223 that accepts a user's operation is to function as either a fluoroscopic image storage button or an image capture button, based on the image quality evaluated by the image quality evaluation function 212. This allows the user to wait for the timing to store the X-ray image (diagnostic image) while observing the fluoroscopic images (moving images) of the subject P that are continuously displayed on the display 23, and to appropriately store or capture the fluoroscopic image by simply pressing the operation button 223 at that timing, thereby reducing the burden on the user and radiation exposure.

[0065] In the first and second embodiments, it is assumed that the image quality of the fluoroscopic image is improved, and the fluoroscopic image after the image quality improvement is the fluoroscopic image to be evaluated. However, the fluoroscopic image itself (the Nth frame fluoroscopic image) displayed on the display 23 may be the fluoroscopic image to be evaluated. If the image quality of the fluoroscopic image itself satisfies the diagnostic criteria, such as the fluoroscopic image itself can be treated as a diagnostic image as it is, the image quality of the fluoroscopic image does not need to be improved. For example, the fluoroscopic related information acquisition function 211 acquires, as the fluoroscopic related information, various conditions (X-ray conditions, geometric conditions, control conditions, etc.) set for fluoroscopic image acquisition and various information obtained during fluoroscopic image acquisition (irradiation dose to the subject P, incident dose to the X-ray detector 15 (estimated value or actual measurement value), dose index (EI value or DI value), state of the subject P (movement amount of the subject P between fluoroscopic images), etc.). The image quality evaluation function 212 evaluates the image quality of the fluoroscopic image itself (the fluoroscopic image to be evaluated) based on the fluoroscopic related information, and the processing execution function 213 executes processing based on the image quality evaluated by the image quality evaluation function 212 (for example, displays whether fluoroscopic storage is OK or NG, and switches the function of the operation button 223).

[0066] Here, the processing execution function 213 can display, as a result of evaluation of the fluoroscopic image, whether the fluoroscopic image itself can be used as a diagnostic image as is or whether the image can be used as a diagnostic image after image quality improvement is performed. For example, when the fluoroscopic image itself can be used as a diagnostic image as is, the processing execution function 213 displays information indicating that.

[0067] In the first and second embodiments, the case where the user operates the operation button when saving a fluoroscopic image or collecting a captured image has been described. However, the embodiment is not limited to this, and after performing image quality evaluation on the fluoroscopic image collected as an evaluation target, the fluoroscopic image may be saved based on the evaluation result of the image quality, without using the button operation. For example, the image quality evaluation function 212 evaluates the image quality of the fluoroscopic images collected sequentially. The processing execution function 213 extracts the fluoroscopic images determined to be saveable based on the image quality evaluation result, and improves the image quality. Then, the processing execution function 213 saves the generated diagnostic image in the storage circuitry 24. This allows the user to save the fluoroscopic image without operating the operation button while giving a fluoroscopic instruction such as depressing the foot switch. Therefore, the fluoroscopic image can be saved without increasing the number of operations by the user, thereby reducing the burden on the user and the exposure to radiation.

[0068] Here, the timing for generating a diagnostic image is not limited to immediately after determining whether or not to store the image, and the processing execution function 213 may store the extracted fluoroscopic images that are storable in the memory circuitry 24 and perform the image processing at any timing such as after the end of the examination. Furthermore, when the extracted fluoroscopic images include a fluoroscopic image having image quality as a diagnostic image, the processing execution function 213 may omit image quality improvement for the fluoroscopic image.

[0069] In the first and second embodiments, the case where the parameters of the image processing such as noise reduction are not changed for the fluoroscopic image determined to be storable has been described. However, the embodiment is not limited to this, and the processing execution function 213 may change the parameters of the image processing according to the evaluation result of the image quality when performing the image quality improvement for the fluoroscopic image. Specifically, when the SNR is calculated for the fluoroscopic image to perform the image quality evaluation, the processing execution function 213 changes the parameters of the image quality improvement according to the difference between the calculated SNR and the threshold value. For example, when the image quality of the fluoroscopic image is much better than the image quality determined as the standard by the threshold value and the difference between the SNR and the threshold value is large, the processing execution function 213 can reduce the degree of the image quality improvement. In this case, the processing execution function 213 may change the parameters of the image quality improvement and execute the image processing to the extent necessary for generating a diagnostic image.

[0070] In the first and second embodiments, image quality improvement is performed on the fluoroscopic images stored in response to user operations to generate diagnostic images. However, the embodiments are not limited to this, and when multiple fluoroscopic images can be stored, the processing execution function 213 may perform image quality improvement only on a fluoroscopic image designated by the user from the multiple fluoroscopic images that can be stored, rather than on all the fluoroscopic images that can be stored. This allows a diagnostic image to be generated based on a fluoroscopic image that the user determines to be optimal for creating a diagnostic image.

[0071] The processing execution function 213 can also control to store fluoroscopic images in sequence imaging (e.g., long-length imaging, tomosynthesis imaging, etc.) in which the X-ray tube 12 rotates and moves relative to the subject P to collect multiple captured images. That is, when the evaluation result of the image quality of the fluoroscopic image collected before the sequence imaging can be stored, the processing execution function 213 performs image collection under fluoroscopic conditions similar to the sequence imaging in response to pressing of the imaging button 222 for performing the sequence imaging, and stores multiple fluoroscopic images. Then, the processing execution function 213 performs image quality improvement on the collected multiple fluoroscopic images to generate multiple diagnostic images, and generates long-length images and tomosynthesis images. Note that the image quality improvement for generating a tomosynthesis image may be performed on multiple fluoroscopic images before reconstruction, or may be performed on a three-dimensional image reconstructed from multiple fluoroscopic images. As a result, the X-ray diagnostic apparatus 1 can reduce the burden on the user and avoid imaging, and reduce radiation exposure, even in sequence imaging other than normal imaging.

[0072] In addition, since the evaluation index value required for the image quality of a diagnostic image differs depending on the type of imaging performed, such as long-length imaging or tomosynthesis imaging, the image quality evaluation function 212 may change the threshold value for evaluating the image quality of a preliminary fluoroscopic image depending on the type of imaging.

[0073] Furthermore, the processing execution function 213 can change the time until collection of the fluoroscopic image according to the delay time required from when the image capturing button 222 is pressed until when the image capturing is performed. Specifically, when the processing execution function 213 determines that the fluoroscopic image can be saved and when the image capturing button 222 is pressed by the operator, a delay time is set for the collection of the fluoroscopic image to be saved so that the fluoroscopic image is collected at the same timing as the normal image capturing timing. This makes it possible to save the fluoroscopic image collected at the same timing as the captured image, and prevents deviation from the timing desired by the user even when saving the fluoroscopic image.

[0074] The processing execution function 213 may continue collecting fluoroscopic images or may interrupt collecting fluoroscopic images during the period from when the photographing button 222 is pressed to when the fluoroscopic images are stored. When collecting fluoroscopic images, the processing execution function 213 may store fluoroscopic images collected at the same (or similar) timing as the photographed images without providing the above-mentioned delay time. This makes it possible to prevent deviation from the collection timing desired by the user without providing a delay time for collecting fluoroscopic images. Furthermore, when collecting the fluoroscopic images, the processing execution function 213 may display the collected fluoroscopic images on the display 23. This makes it possible for the X-ray diagnostic apparatus 1 to observe the fluoroscopic images collected sequentially during the examination in real time.

[0075] In the first and second embodiments, the display image is used to evaluate the image quality of the fluoroscopic image. However, the embodiments are not limited to this, and may use a detection signal to evaluate the image quality of the fluoroscopic image.

[0076] The term "processor" used in the description of the above-mentioned embodiment means a circuit such as a central processing unit (CPU), a graphics processing unit (GPU), an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)). Here, instead of storing a program in a memory circuit, the program may be directly built into the circuit of the processor. In this case, the processor realizes its function by reading and executing the program built into the circuit. Furthermore, each processor in the present embodiment is not limited to being configured as a single circuit for each processor, and may be configured as a single processor by combining multiple independent circuits to realize its function.

[0077] Here, the program executed by the processor is provided in advance in a ROM (Read Only Memory) or a storage circuit. The program may be provided by being recorded in a computer-readable non-transitory storage medium such as a CD (Compact Disk)-ROM, a FD (Flexible Disk), a CD-R (Recordable), or a DVD (Digital Versatile Disk) in a format that can be installed in these devices or in a format that can be executed. The program may also be provided or distributed by being stored on a computer connected to a network such as the Internet and downloaded via the network. For example, the program is composed of modules including each of the above-mentioned processing functions. As actual hardware, a CPU reads out the program from a storage medium such as a ROM and executes it, so that each module is loaded onto a main storage device and generated on the main storage device.

[0078] In the above-described embodiment, each component of each device shown in the figure is a functional concept, and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution or integration of each device is not limited to that shown in the figure, and all or a part of it can be functionally or physically distributed or integrated in any unit according to various loads, usage conditions, etc. Furthermore, all or any part of each processing function performed by each device can be realized by a CPU and a program analyzed and executed by the CPU, or can be realized as hardware using wired logic.

[0079] Furthermore, among the processes described in the above-mentioned embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by a known method. In addition, the information including the processing procedures, control procedures, specific names, various data and parameters shown in the above documents and drawings can be changed arbitrarily unless otherwise specified.

[0080] According to at least one of the embodiments described above, it is possible to reduce the burden on the user and reduce radiation exposure.

[0081] Although some embodiments have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope of the invention and its equivalents as described in the claims, as well as in the scope and spirit of the invention. [Explanation of symbols]

[0082] 1. X-ray diagnostic equipment 12 X-ray tube 15 X-ray detector 20 X-ray image processing section 21 Processing circuit 22 Input Interface 23 Display 211 Fluoroscopy-related information acquisition function 212 Image quality evaluation function 213 Processing Execution Function

Claims

1. a fluoroscopy-related information acquiring means for acquiring fluoroscopy-related information associated with a plurality of fluoroscopy images collected over time; an image quality evaluation means for evaluating image quality of each of the plurality of fluoroscopic images based on the fluoroscopic related information of the plurality of fluoroscopic images; a processing execution means for determining whether or not each fluoroscopic image is to be subjected to image quality improvement processing based on the image quality of the plurality of fluoroscopic images evaluated by the image quality evaluation means, and for displaying on a display unit information indicating that the fluoroscopic image can be saved together with the fluoroscopic images to be subjected to the image quality improvement processing, and displaying on the display unit information indicating that the fluoroscopic image cannot be saved together with the fluoroscopic images other than the fluoroscopic images to be subjected to the image quality improvement processing, when a fluoroscopy save button for saving the fluoroscopy image is pressed while the information indicating that saving is possible is displayed, the processing execution means performs image quality improvement processing on the fluoroscopy image displayed together with the information indicating that saving is possible, and stores the processed fluoroscopy image in a storage unit. X-ray image processing device.

2. the image quality evaluation means evaluates whether or not the image quality of the perspective image satisfies a predetermined standard; the processing execution means causes a display unit to display information indicating whether the image quality satisfies the criterion.

2. The X-ray image processing apparatus according to claim 1.

3. the processing execution means selects whether an operation button for accepting a user's operation is for fluoroscopy storage or for radiography based on the image quality evaluated by the image quality evaluation means.

3. The X-ray image processing apparatus according to claim 1 or 2.

4. the processing execution means accepts an operation to change acquisition conditions of the fluoroscopic images based on a determination result of whether or not the storage is possible.

4. The X-ray image processing apparatus according to claim 1.

5. the image quality evaluation means calculates predetermined evaluation indices for the plurality of fluoroscopic images based on the fluoroscopic related information, and evaluates image quality of each of the plurality of fluoroscopic images using the calculated evaluation indices.

5. The X-ray image processing apparatus according to claim 1.

6. the image quality evaluation means evaluates image quality of each of the plurality of perspective images according to a type of image processing for reducing noise.

6. The X-ray image processing apparatus according to claim 1.

7. An X-ray tube that irradiates X-rays; an X-ray detector for detecting the X-rays irradiated by the X-ray tube; an X-ray image processing device that processes an X-ray image based on the X-ray detected by the X-ray detector, The X-ray image processing device includes: a fluoroscopy-related information acquiring means for acquiring fluoroscopy-related information associated with a plurality of fluoroscopy images collected over time; an image quality evaluation means for evaluating image quality of each of the plurality of fluoroscopic images based on the fluoroscopic related information of the plurality of fluoroscopic images; a processing execution means for determining whether or not each fluoroscopic image is to be subjected to image quality improvement processing based on the image quality of the plurality of fluoroscopic images evaluated by the image quality evaluation means, and for displaying on a display unit information indicating that the fluoroscopic image can be saved together with the fluoroscopic images to be subjected to the image quality improvement processing, and displaying on the display unit information indicating that the fluoroscopic image cannot be saved together with the fluoroscopic images other than the fluoroscopic images to be subjected to the image quality improvement processing, when a fluoroscopy save button for saving the fluoroscopy image is pressed while the information indicating that saving is possible is displayed, the processing execution means performs image quality improvement processing on the fluoroscopy image displayed together with the information indicating that saving is possible, and stores the processed fluoroscopy image in a storage unit. X-ray diagnostic equipment.

8. Further comprising an operation button for accepting an operation by a user, the processing execution means selects whether the operation button is for fluoroscopy storage or for radiography based on the image quality evaluated by the image quality evaluation means.

8. The X-ray diagnostic apparatus according to claim 7.

9. Computer, a fluoroscopy-related information acquiring means for acquiring fluoroscopy-related information associated with each of a plurality of fluoroscopy images collected over time; an image quality evaluation means for evaluating image quality of each of the plurality of fluoroscopic images based on the fluoroscopic related information of the plurality of fluoroscopic images; and a processing execution means for determining whether or not each fluoroscopic image is to be subjected to image quality improvement processing based on the image quality of the plurality of fluoroscopic images evaluated by the image quality evaluation means, and for displaying, on a display unit, information indicating that the fluoroscopic image can be saved together with the fluoroscopic images to be subjected to the image quality improvement processing, and for displaying, on the display unit, information indicating that the fluoroscopic image cannot be saved together with the fluoroscopic images other than the fluoroscopic images to be subjected to the image quality improvement processing; when a fluoroscopy save button for saving the fluoroscopy image is pressed while the information indicating that saving is possible is displayed, the processing execution means performs image quality improvement processing on the fluoroscopy image displayed together with the information indicating that saving is possible, and stores the processed fluoroscopy image in a storage unit. program.

10. a fluoroscopy-related information acquisition means for acquiring fluoroscopy-related information related to a fluoroscopy image to be evaluated; an image quality evaluation means for evaluating the image quality of the fluoroscopic image to be evaluated based on the fluoroscopic related information; and a process execution means for selecting whether an operation button for accepting a user's operation is for fluoroscopy storage or for photography based on the image quality evaluated by the image quality evaluation means. X-ray image processing device.

11. An X-ray tube that irradiates X-rays; an X-ray detector for detecting the X-rays irradiated by the X-ray tube; An operation button for accepting a user operation; an X-ray image processing device that processes an X-ray image based on the X-ray detected by the X-ray detector, The X-ray image processing device includes: a fluoroscopy-related information acquisition means for acquiring fluoroscopy-related information related to a fluoroscopy image to be evaluated; an image quality evaluation means for evaluating the image quality of the fluoroscopic image to be evaluated based on the fluoroscopic related information; and a process execution means for selecting whether the operation button is for fluoroscopy storage or for radiography based on the image quality evaluated by the image quality evaluation means. X-ray diagnostic equipment.

12. Computer, a fluoroscopy-related information acquisition means for acquiring fluoroscopy-related information related to a fluoroscopy image to be evaluated; an image quality evaluation means for evaluating the image quality of the fluoroscopic image to be evaluated based on the fluoroscopic related information; and a process execution unit that selects whether an operation button for accepting a user's operation is for fluoroscopy storage or for radiography based on the image quality evaluated by the image quality evaluation unit; program.

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