Ultrasonic diagnostic device and recording medium

Abstract

The invention provides an ultrasonic diagnostic apparatus and a recording medium. The purpose of the present invention is to reduce the trial and error time for adjusting the image quality of an ultrasonic image. An image quality evaluation unit (102) calculates a first evaluation value indicating an evaluation of the image quality of the first ultrasonic image. The changing unit (104) changes the image quality parameter when the first evaluation value is equal to or less than a predetermined threshold value. The image generation unit (16) generates a second ultrasonic image on the basis of the image quality parameter changed by the change unit (104). An image quality evaluation unit (102) calculates a second evaluation value indicating an evaluation value for the image quality of the second ultrasound image. When the second evaluation value is equal to or less than a predetermined threshold value, the notification unit (106) notifies the user that the evaluation value of the image quality of the ultrasonic image does not exceed the threshold value even if the image quality parameter is changed.

Description

Technical Field

[0001] The present invention relates to an ultrasonic diagnostic apparatus and a program. Background Art

[0002] In order to generate an ultrasonic image suitable for ultrasonic examination, it is sometimes necessary to change a picture quality parameter for adjusting the picture quality of the ultrasonic image.

[0003] Patent Document 1 discloses an ultrasonic diagnostic apparatus that optimizes the value of a parameter of interest.

[0004] Patent Document 2 discloses an ultrasonic imaging system that automatically adjusts imaging parameters based on received echoes.

[0005] Patent Document 1: Japanese Patent Application Laid-Open No. 2010-264175

[0006] Patent Document 2: U.S. Patent Application Publication No. 2010 / 0240992

[0007] Generally, it is difficult for a user to manually change a picture quality parameter for adjusting the picture quality of an ultrasonic image to generate an ultrasonic image having a target picture quality. Moreover, this adjustment takes time. Further, even when the picture quality of the ultrasonic image cannot be improved, if the user manually changes the picture quality parameter multiple times, the overall examination time may be prolonged. Summary of the Invention

[0008] An object of the present invention is to reduce the trial-and-error time for adjusting the picture quality of an ultrasonic image.

[0009] One aspect of the present invention is an ultrasonic diagnostic apparatus, including: an image generation unit that generates a first ultrasonic image from a received signal obtained by transmitting and receiving ultrasonic waves according to a picture quality parameter for generating an ultrasonic image; a calculation unit that calculates a first evaluation value representing an evaluation of the picture quality of the first ultrasonic image; a change unit that changes the picture quality parameter when the first evaluation value is equal to or less than a predetermined threshold; and a notification unit, wherein the image generation unit generates a second ultrasonic image from the received signal obtained by transmitting and receiving ultrasonic waves according to the picture quality parameter changed by the change unit, the calculation unit calculates a second evaluation value representing an evaluation of the picture quality of the second ultrasonic image, and when the second evaluation value is equal to or less than the predetermined threshold, the notification unit notifies the user that the evaluation value of the picture quality of the ultrasonic image does not exceed the threshold even if the picture quality parameter is changed.

[0010] It may be that the threshold is determined for each subject, and the notification unit changes and notifies the threshold for each subject for which ultrasonic waves are transmitted and received.

[0011] It may be that the calculation unit calculates the first evaluation value and the second evaluation value based on the images included in the region of interest in the ultrasonic image.

[0012] It may be that a plurality of evaluation items for evaluating the image quality of the ultrasonic image are determined in advance. The calculation unit calculates a first individual evaluation value for the evaluation item selected by the user from the plurality of evaluation items based on the first ultrasonic image, and calculates a second individual evaluation value for the evaluation item selected by the user from the plurality of evaluation items based on the second ultrasonic image. When the first individual evaluation value is below the threshold value, the changing unit changes the image quality parameter. When the second individual evaluation value is below the threshold value, the notification unit notifies the user that even if the image quality parameter is changed, the evaluation value of the image quality of the ultrasonic image does not exceed the threshold value.

[0013] It may be that the evaluation value is associated in advance with the image quality parameter to be changed in order to improve the evaluation value. The changing unit determines the image quality parameter associated with the first evaluation value, and the image generation unit generates the second ultrasonic image from the received signal obtained by transmitting and receiving ultrasonic waves according to the image quality parameter determined by the changing unit.

[0014] One aspect of the present invention is a program that causes a computer to function as the following units: an image generation unit that generates a first ultrasonic image from a received signal obtained by transmitting and receiving ultrasonic waves according to an image quality parameter for generating an ultrasonic image; a calculation unit that calculates a first evaluation value representing the evaluation of the image quality of the first ultrasonic image; a changing unit that changes the image quality parameter when the first evaluation value is below a predetermined threshold value; and a notification unit. The image generation unit generates a second ultrasonic image from the received signal obtained by transmitting and receiving ultrasonic waves according to the image quality parameter changed by the changing unit, the calculation unit calculates a second evaluation value representing the evaluation of the image quality of the second ultrasonic image, and when the second evaluation value is below a predetermined threshold value, the notification unit notifies the user that even if the image quality parameter is changed, the evaluation value of the image quality of the ultrasonic image does not exceed the threshold value.

[0015] Advantages of the Invention

[0016] According to the present invention, it is possible to reduce the trial-and-error time for adjusting the image quality of the ultrasonic image. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a block diagram showing the configuration of the ultrasonic diagnostic apparatus according to the first embodiment.

[0018] Figure 2 is a diagram showing a screen for displaying the evaluation value and the image quality parameter.

[0019] Figure 3 It is a diagram showing a screen for displaying evaluation values and image quality parameters.

[0020] Figure 4 It is a diagram showing an ultrasonic image and a region of interest.

[0021] Figure 5 It is a diagram showing a screen for displaying evaluation values and image quality parameters.

[0022] Figure 6 It is a diagram showing a screen for selecting evaluation items.

[0023] Figure 7 It is a diagram showing a screen for displaying evaluation values and image quality parameters.

[0024] Figure 8 It is a block diagram showing the structure of the ultrasonic diagnostic apparatus according to the second embodiment.

[0025] Figure 9 It is a block diagram for explaining the subject information and the image quality evaluation unit.

[0026] Figure 10 It is a diagram showing an ultrasonic image and a region of interest.

[0027] Symbol Explanation

[0028] 10, 100 - Ultrasonic diagnostic apparatus, 16 - Image generation unit, 26, 102 - Image quality evaluation unit, 28 - Region information acquisition unit, 30, 106 - Notification unit, 104 - Change unit. Detailed Embodiment

[0029] <First Embodiment>

[0030] Reference Figure 1 , the ultrasonic diagnostic apparatus 10 according to the first embodiment will be described. Figure 1 It is a block diagram showing an example of the structure of the ultrasonic diagnostic apparatus 10 according to the first embodiment.

[0031] The ultrasonic diagnostic apparatus 10 generates ultrasonic image data by transmitting and receiving ultrasonic waves using the ultrasonic probe 12. For example, the ultrasonic diagnostic apparatus 10 transmits ultrasonic waves into the subject and receives the ultrasonic waves reflected inside the subject, thereby generating ultrasonic image data representing the internal tissues of the subject.

[0032] The ultrasonic probe 12 is a device for transmitting and receiving ultrasonic waves. The ultrasonic probe 12 includes, for example, a 1D array oscillator. The 1D array oscillator is formed by arranging a plurality of ultrasonic oscillators one-dimensionally. An ultrasonic beam is formed by the 1D array oscillator, and the ultrasonic beam is repeatedly electronically scanned. Thus, each time an electronic scan is performed, a scan section is formed in the living body. The scan section corresponds to a two-dimensional echo data acquisition space. The ultrasonic probe 12 may include a 2D array oscillator formed by arranging a plurality of ultrasonic oscillators two-dimensionally. An ultrasonic beam is formed by the 2D array oscillator. If the ultrasonic beam is repeatedly electronically scanned, a scan section serving as a two-dimensional echo data acquisition space is formed each time an electronic scan is performed. If the ultrasonic beam is scanned two-dimensionally, a three-dimensional space serving as a three-dimensional echo data acquisition space is formed. As a scanning method, sector scanning, linear scanning, convex scanning, etc. can be used.

[0033] The transceiver unit 14 functions as a transmit beamformer and a receive beamformer. At the time of transmission, the transceiver unit 14 supplies a plurality of transmit signals having a certain delay relationship to the plurality of ultrasonic oscillators included in the ultrasonic probe 12. Thus, a transmit beam of ultrasonic waves is formed. At the time of reception, the ultrasonic probe 12 receives a reflected wave from the living body, and thus outputs a plurality of received signals (i.e., RF signals) from the ultrasonic probe 12 to the transceiver unit 14. The transceiver unit 14 forms a receive beam by applying coherent addition processing to the plurality of received signals. The data of this receive beam is output to the image generation unit 16. That is, the transceiver unit 14 performs delay processing on the received signals obtained from the respective ultrasonic oscillators according to the delay processing conditions for each ultrasonic oscillator, and forms a receive beam by adding the plurality of received signals obtained from the plurality of ultrasonic oscillators. The delay processing conditions are defined by receive delay data indicating the delay time. A set of receive delay data (i.e., a set of delay times) corresponding to the plurality of ultrasonic oscillators is supplied from the control unit 32.

[0034] The ultrasonic beam (i.e., the transmit beam and the receive beam) is electronically scanned by the action of the transceiver unit 14, thereby forming a scan section. The scan section corresponds to a plurality of beams, and the plurality of beams constitute a receive frame (specifically, an RF signal frame). In addition, each beam is composed of a plurality of echoes arranged in the depth direction. By repeatedly performing the electronic scan of the ultrasonic beam, a plurality of receive frames arranged on the time axis are output from the transceiver unit 14 to the image generation unit 16. The plurality of receive frames constitute a receive frame column.

[0035] If the ultrasonic beam is electronically scanned two-dimensionally by the action of the transceiver unit 14, a three-dimensional echo data acquisition space is formed, and volume data serving as an aggregate of echo data is acquired from this three-dimensional echo data acquisition space. By repeatedly performing the electronic scan of the ultrasonic beam, a plurality of volume data arranged on the time axis are output from the transceiver unit 14 to the image generation unit 16. The plurality of volume data constitute a volume data column.

[0036] The image generation unit 16 generates ultrasonic image data (e.g., B-mode image data) by applying signal processing such as detection, amplitude compression (e.g., logarithmic compression), and conversion functions (coordinate conversion function and interpolation processing function based on DSC (Digital Scan Converter), etc.) to the received frames output from the transceiver unit 14.

[0037] Hereinafter, the image data will be appropriately referred to as "image". For example, the ultrasonic image data will be appropriately referred to as "ultrasonic image", or the B-mode image data will be appropriately referred to as "B-mode image". In addition, the ultrasonic image is not limited to the B-mode image, and can be any image generated by transmitting and receiving ultrasonic waves. For example, the ultrasonic image can be a color Doppler image, a pulsed Doppler image, a strain image, or a shear wave elastography image, etc.

[0038] The display processing unit 18 generates a display image by superimposing the graphic data required for the ultrasonic image. The display image is output to the display unit 20. One or more images are displayed side by side according to the display mode.

[0039] The display unit 20 is a display such as a liquid crystal display or an EL display. Ultrasonic images such as B-mode images are displayed on the display unit 20. The display unit 20 can also be a device that combines a display and an operation unit 22. For example, a GUI (Graphic User Interface) can be implemented by the display unit 20 and the operation unit 22. And a user interface such as a touch panel can be implemented by the display unit 20 and the operation unit 22.

[0040] The operation unit 22 is a device for enabling a user to input imaging conditions, commands, etc. into the ultrasonic diagnostic apparatus 10. For example, the operation unit 22 is an operation panel, a switch, a button, a keyboard, a mouse, a trackball, or a joystick, etc.

[0041] The storage unit 24 constitutes one or more storage areas for storing data. For example, the storage unit 24 is a hard disk drive (HDD), a solid state drive (SSD), various memories (e.g., RAM, DRAM, ROM, etc.), other storage devices (e.g., optical discs, etc.), or a combination thereof.

[0042] For example, received signals, received beams generated based on the received signals, received frames, volume data, ultrasonic images, information indicating imaging conditions, and information related to the subject (e.g., patient), etc. are stored in the storage unit 24.

[0043] The image quality evaluation unit 26 calculates an evaluation value representing the evaluation of the image quality of the ultrasonic image generated based on the received signal obtained by transmitting and receiving ultrasonic waves. The image quality evaluation unit 26 can calculate an evaluation value representing the evaluation of the image quality of the ultrasonic image based on the received frame or the ultrasonic image. That is, the image quality evaluation unit 26 can calculate the evaluation value based on the received signal, can also calculate the evaluation value based on the received frame output from the transceiver unit 14, and can also calculate the evaluation value based on the ultrasonic image output from the image generation unit 16. Hereinafter, for the sake of convenience of explanation, the process of calculating the evaluation value based on the received signal will be described, but the image quality evaluation unit 26 can also calculate the evaluation value based on the received frame or the ultrasonic image.

[0044] One or more evaluation items for evaluating the image quality of the ultrasonic image are determined in advance. For example, the evaluation items are the contrast of the image, the spatial resolution, and the SNR (signal noise ratio), etc. Of course, evaluation items other than these can also be used. The evaluation items can also be said to be the viewpoints (i.e., evaluation viewpoints) for evaluating the image quality of the ultrasonic image.

[0045] The image quality evaluation unit 26 calculates an evaluation value of the ultrasonic image based on the received signal for each evaluation item. Hereinafter, the evaluation value for each evaluation item will be referred to as an "individual evaluation value". That is, the image quality evaluation unit 26 calculates an individual evaluation value for the evaluation item for each evaluation item.

[0046] Furthermore, the image quality evaluation unit 26 calculates a comprehensive evaluation value (hereinafter referred to as the "comprehensive evaluation value") based on one or more individual evaluation values. In order to calculate the comprehensive evaluation value, weighted average or the like can be used. When only one evaluation item is used, the individual evaluation value for that evaluation item is the comprehensive evaluation value. When multiple evaluation items are used, the image quality evaluation unit 26 calculates the comprehensive evaluation value based on the multiple individual evaluation values.

[0047] The calculation methods for the individual evaluation value and the comprehensive evaluation value will be described in detail later.

[0048] Further, when the calculated evaluation value is below a predetermined threshold, the image quality evaluation unit 26 determines one or more image quality parameters for increasing the evaluation value. For example, one or more evaluation items are associated with one or more image quality parameters in advance, and information representing the association is stored in the storage unit 24 in advance. How the individual evaluation values of the one or more evaluation items associated with the image quality parameter change when the image quality parameter is changed has been calculated in advance or learned by machine learning or the like. Therefore, when it is desired to increase the evaluation value, the image quality parameter to be changed can be determined. Also, it is known what value the image quality parameter to be changed should be changed to in order to obtain the target evaluation value. That is, the change direction (i.e., the correction direction of the image quality parameter) of the image quality parameter for obtaining the target evaluation value can be determined. The image quality evaluation unit 26 determines the change direction of the image quality parameter to be changed.

[0049] For example, the image quality parameters are transmission frequency, number of frame smoothing, gain, transmission focus, scan line density, dynamic range, brightness gamma curve, and composite number, etc.

[0050] For example, when the individual evaluation value of a certain evaluation item is below the threshold, the image quality evaluation unit 26 determines one or more image quality parameters (i.e., one or more image quality parameters associated with the evaluation item) for increasing the individual evaluation value based on the information representing the above association. Also, the image quality evaluation unit 26 determines the change direction of the determined one or more image quality parameters based on the information representing the above association.

[0051] When the comprehensive evaluation value is below the threshold, the image quality evaluation unit 26 can determine one or more image quality parameters for increasing the comprehensive evaluation value, and further determine the change direction of the determined one or more image quality parameters.

[0052] The image quality evaluation unit 26 outputs information representing one or more image quality parameters for increasing the individual evaluation value, comprehensive evaluation value, and evaluation value, and information representing the change direction of the image quality parameter to the notification unit 30.

[0053] The part information acquisition unit 28 acquires information representing the diagnostic part where ultrasonic waves are transmitted and received (hereinafter, referred to as "diagnostic part information").

[0054] For example, when starting an ultrasonic examination, when the user designates the diagnostic part by operating the operation unit 22, the part information acquisition unit 28 acquires the diagnostic part information representing the diagnostic part designated by the user. When the diagnostic part is preset, the part information acquisition unit 28 can acquire the diagnostic part information from the preset information set at the start of the examination.

[0055] As another example, the site information acquisition unit 28 may apply site recognition processing to an ultrasonic image generated by transmitting and receiving ultrasonic waves, thereby recognizing a diagnostic site from the ultrasonic image, and acquiring diagnostic site information accordingly.

[0056] As the site recognition processing, known site recognition processing can be used. For example, machine learning or artificial intelligence (AI) can be used in the site recognition processing. The type of machine learning or artificial intelligence used is not limited, and any algorithm or model can be used. For example, CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), GAN (Generative Adversarial Networks), linear models, random forest / decision tree learning, support vector machine (SVM: Support Vector Machine), Ensemble Classifier, or other algorithms can be used. Also, algorithms that do not require learning, such as pattern matching like template matching or operations of correlation coefficients or similarities, can be used for the site recognition processing.

[0057] As the site recognition processing, pattern matching using a standard cross-sectional image (e.g., B-mode image) can be used. For example, one or more standard cross-sectional images are pre-generated for each diagnostic site and stored in the storage unit 24 or an external device. The site information acquisition unit 28 compares the ultrasonic image generated by transmitting and receiving ultrasonic waves with each standard cross-sectional image, thereby determining the diagnostic site where the ultrasonic waves were transmitted and received, and acquiring diagnostic site information accordingly.

[0058] The site information acquisition unit 28 outputs the diagnostic site information to the image quality evaluation unit 26 and the notification unit 30. As will be described later, the image quality evaluation unit 26 can calculate individual evaluation values for evaluation items corresponding to the diagnostic site indicated by the diagnostic site information.

[0059] The notification unit 30 notifies the user of various information. For example, the notification unit 30 can display various information on the display unit 20 or output various information as sound information from the speaker.

[0060] For example, the notification unit 30 notifies the user of the information output from the image quality evaluation unit 26 or the diagnostic site information output from the site information acquisition unit 28. Specifically, the notification unit 30 notifies the user of at least one of the information indicating one or more image quality parameters for improving the individual evaluation value, the comprehensive evaluation value, and the evaluation value, and the information indicating the change direction of the image quality parameters.

[0061] The control unit 32 controls each part of the ultrasonic diagnostic apparatus 10.

[0062] Hereinafter, an example of the process based on the image quality evaluation unit 26 will be described.

[0063] Individual evaluation values x1, x2, ……, xN are defined. For example, as evaluation items (i.e., evaluation viewpoints), contrast, spatial resolution, and SNR of the ultrasonic image are set. The individual evaluation value regarding contrast is defined as the individual evaluation value x1. The individual evaluation value regarding spatial resolution is defined as the individual evaluation value x2. The individual evaluation value regarding SNR is defined as the individual evaluation value x3.

[0064] For example, in order to calculate the individual evaluation value x1 regarding the contrast of the ultrasonic image, an expansion value of the luminance distribution obtained from the standard deviation value of the luminance distribution in the ultrasonic image or the like is used. Generally, the larger the expansion of the luminance distribution, the higher the contrast of the image. The image quality evaluation unit 26 calculates, as the individual evaluation value x1 regarding contrast, the ratio (%) of the expansion value of the luminance distribution calculated from the reception signal or the ultrasonic image input to the image quality evaluation unit 26 based on the expansion value of the luminance distribution of a predetermined standard. The expansion value of the luminance distribution of the standard luminance is stored in advance in the storage unit 24 or an external device.

[0065] For example, as the spatial resolution, an expansion value of the frequency spectrum distribution of the reception signal in a region where the luminance distribution of the ultrasonic image is flat is used. Generally, the wider the bandwidth of the frequency spectrum, the higher the signal characteristics, and an image with high spatial resolution is generated. The image quality evaluation unit 26 calculates, as the individual evaluation value x2 regarding spatial resolution, the ratio (%) of the expansion value of the frequency spectrum distribution calculated from the reception signal or the ultrasonic image input to the image quality evaluation unit 26 based on the expansion value of the frequency spectrum distribution of a predetermined standard. The expansion value of the standard frequency spectrum distribution is stored in advance in the storage unit 24 or an external device.

[0066] For example, as the SNR, the average luminance value of the ultrasonic image is used. Generally, noise is generated from the system including the ultrasonic diagnostic apparatus 10, so the level of noise is constant or substantially constant. In contrast, the luminance of the ultrasonic image varies because it already exists in the subject. Also, the higher the luminance level of the ultrasonic image, the higher the SNR. The image quality evaluation unit 26 calculates, as the individual evaluation value x3 regarding SNR, the ratio (%) of the average luminance value calculated from the reception signal or the ultrasonic image input to the image quality evaluation unit 26 based on the average luminance value of a predetermined standard. The average luminance value of the standard is stored in advance in the storage unit 24 or an external device.

[0067] The image quality evaluation unit 26 calculates the comprehensive evaluation value S according to the following formula (1). That is, the image quality evaluation unit 26 calculates the average value of the individual evaluation values x1, x2, ……, xN as the comprehensive evaluation value S.

[0068] [Equation 1]

[0069]

[0070] As another example, the image quality evaluation unit 26 can calculate the comprehensive evaluation value S according to the following formula (2). That is, the image quality evaluation unit 26 can calculate the weighted average value of the individual evaluation values x1, x2, ……, xN as the comprehensive evaluation value S.

[0071] [Equation 2]

[0072]

[0073] Here, the coefficient w k can be specified by the user or determined for each diagnostic site.

[0074] The image quality evaluation unit 26 determines the change direction of the image quality parameters and the priority order of the image quality parameters to be changed according to each individual evaluation value x k and the comprehensive evaluation value S.

[0075] As described above, one or more evaluation items are associated with one or more image quality parameters in advance, and the information representing the association is stored in the storage unit 24 in advance. For example, the image quality evaluation unit 26 determines the individual evaluation value x k lower than the comprehensive evaluation value S, and determines one or more image quality parameters related to the determined individual evaluation value x k (that is, one or more image quality parameters associated with the individual evaluation value xk). And the image quality evaluation unit 26 determines the change direction of the determined one or more image quality parameters (that is, the direction indicating whether to increase or decrease the image quality parameters). The notification unit 30 displays the determined one or more image quality parameters and the information indicating the change direction of each image quality parameter on the display unit 20.

[0076] When multiple individual evaluation values x k are lower than the comprehensive evaluation value S, the image quality evaluation unit 26 determines one or more image quality parameters related to each of the multiple individual evaluation values x k (that is, one or more image quality parameters associated with each of the multiple individual evaluation values x k ). And the image quality evaluation unit 26 determines the change direction of the determined one or more image quality parameters. The notification unit 30 displays the determined one or more image quality parameters and the information indicating the change direction of each image quality parameter on the display unit 20.

[0077] Further, the image quality evaluation unit 26 can also determine the priority order of the image quality parameters to be changed in ascending order of the individual evaluation value relative to the comprehensive evaluation value S. For example, in the image quality evaluation unit 26, the higher the priority order of the image quality parameter associated with the lower individual evaluation value. The notification unit 30 can display the information indicating the priority order together with the image quality parameters to be changed on the display unit 20.

[0078] For example, the image quality parameters related to the evaluation item "contrast" are gain and the number of frame smoothing (Noise Reduction), etc. That is, in the evaluation item "contrast", gain and the number of frame smoothing are pre-associated, and the information indicating the association is pre-stored in the storage unit 24. Also, regarding how the evaluation item "contrast" changes when the gain is changed, it has been pre-calculated or learned through machine learning, etc., and the information indicating this content is pre-stored in the storage unit 24. Similarly, regarding how the evaluation item "contrast" changes when the number of frame smoothing is changed, it has been pre-calculated or learned through machine learning, etc., and the information indicating this content is pre-stored in the storage unit 24.

[0079] The image quality parameters related to the evaluation item "spatial resolution" are transmission frequency and scan line density, etc. That is, in the evaluation item "spatial resolution", the transmission frequency and scan line density are pre-associated, and the information indicating the association is pre-stored in the storage unit 24. Also, regarding how the evaluation item "spatial resolution" changes when the transmission frequency is changed, it has been pre-calculated or learned through machine learning, etc., and the information indicating this content is pre-stored in the storage unit 24. The same applies to the scan line density.

[0080] The image quality parameters related to the evaluation item "SNR" are transmission frequency and the number of frame smoothing, etc. That is, in the evaluation item "SNR", the transmission frequency and the number of frame smoothing are pre-associated, and the information indicating the association is pre-stored in the storage unit 24. Also, regarding how the evaluation item "SNR" changes when the transmission frequency is changed, it has been pre-calculated or learned through machine learning, etc., and the information indicating this content is pre-stored in the storage unit 24. The same applies to the number of frame smoothing.

[0081] For example, when the individual evaluation value x1 of the evaluation item "contrast" is lower than the comprehensive evaluation value S, the image quality evaluation unit 26 determines the image quality parameters such as "gain" and "number of frame smoothing" associated with the evaluation item "contrast" as the image quality parameters to be changed. Further, the image quality evaluation unit 26 determines the change direction of the determined image quality parameters. The notification unit 30 displays the information indicating the image quality parameter "gain" and the information indicating the change direction of the image quality parameter "gain" on the display unit 20. The same applies to the number of frame smoothing and the like.

[0082] Hereinafter, each embodiment of the first embodiment will be described.

[0083] (Embodiment 1-1)

[0084] Reference Figure 1 、 Figure 2 to describe Embodiment 1-1. Figure 2 A screen showing the evaluation value and the image quality parameters.

[0085] The screen 34 is displayed on the display unit 20. When the ultrasonic image 36 is generated by the image generation unit 16, the ultrasonic image 36 is displayed on the screen 34. Here, as an example, the ultrasonic image 36 is a B-mode image. Of course, a Doppler image or the like can also be displayed as the ultrasonic image 36.

[0086] When the site information acquisition unit 28 acquires the diagnosis site information, as indicated by the symbol 38, the notification unit 30 displays the diagnosis site information on the screen 34. Here, as an example, "kidney" is the diagnosis site.

[0087] As shown by the symbol 40, the notification unit 30 displays the evaluation value ( Figure 2 "score" in) on the screen 34. For example, the notification unit 30 displays the comprehensive evaluation value S on the screen 34. In Figure 2 In the example shown, the comprehensive evaluation value S is "89".

[0088] When the comprehensive evaluation value S is below the threshold, the notification unit 30 displays the image quality parameters (i.e., the image quality parameters to be changed) for improving the comprehensive evaluation value S on the screen 34. In Figure 2 In the example shown, since the comprehensive evaluation value S is below the threshold, the notification unit 30 displays the image quality parameters to be changed on the screen 34.

[0089] For example, the notification unit 30 displays a list 42 of the image quality parameters to be changed on the screen 34. As described above, the image quality parameters to be changed are determined by the image quality evaluation unit 26. Here, as an example, the "transmission frequency" indicated by the symbol 44 ( Figure 2 "frequency" in), the "number of frame smoothing" indicated by the symbol 46 ( Figure 2The "red noise" in

[0090] In Figure 2 the example shown, the notification unit 30 displays each image quality parameter on the screen 34 in order of priority. For example, the image quality parameter "transmission frequency" is the 1st (i.e., the most prioritized). The image quality parameter "number of frame smoothing" is the 2nd. The image quality parameter "gain" is the 3rd.

[0091] Moreover, the change direction of each image quality parameter to be changed is determined by the image quality evaluation unit 26. The notification unit 30 displays information indicating the change direction of each image quality parameter to be changed on the screen 34. For example, the notification unit 30 expresses the change direction by the string "up", the string "down", the symbol "up arrow", and the symbol "down arrow".

[0092] For example, the change direction of the image quality parameter "transmission frequency" is determined to be the direction of increasing this image quality parameter (i.e., the direction of increasing the frequency). That is, by increasing the image quality parameter "transmission frequency", the comprehensive evaluation value S can be increased. In this case, the notification unit 30 displays the string "up" and the symbol "up arrow" on the screen 34 as the information indicating the change direction of the image quality parameter "transmission frequency".

[0093] Moreover, the change direction of the image quality parameter "gain" is determined to be the direction of decreasing this image quality parameter (i.e., the direction of decreasing the gain). That is, by decreasing the image quality parameter "gain", the comprehensive evaluation value S can be increased. In this case, the notification unit 30 displays the string "down" and the symbol "down arrow" on the screen 34 as the information indicating the change direction of the image quality parameter "gain".

[0094] The notification unit 30 similarly displays the information indicating the change direction on the screen 34 for other image quality parameters.

[0095] Moreover, the notification unit 30 displays the change buttons 44a, 46a, and 48a on the screen 34. The change button 44a is a button for changing the image quality parameter "transmission frequency". The change button 46a is a button for changing the image quality parameter "number of frame smoothing". The change button 48a is a button for changing the image quality parameter "gain". The user can change the image quality parameter corresponding to the change button by operating the change button.

[0096] As described above, each image quality parameter of the object to be changed and information indicating the change direction of each image quality parameter are displayed on the screen 34 and presented to the user. Thus, the user can easily grasp each image quality parameter of the object to be changed and the change direction of each image quality parameter. As a result, according to Embodiment 1-1, it is possible to assist the user in changing the image quality parameters for adjusting the image quality of the ultrasonic image.

[0097] (Embodiment 1-2)

[0098] In Embodiment 1-2, for each diagnostic site, one or more evaluation items suitable for evaluating the image quality of the ultrasonic image representing the diagnostic site are determined in advance. For example, the diagnostic site information representing the diagnostic site is associated in advance with information indicating one or more evaluation items suitable for evaluating the image quality of the ultrasonic image representing the diagnostic site, and is stored in the storage unit 24 in advance.

[0099] For example, when the diagnostic site is the breast, the spatial resolution and contrast in the depth direction are evaluation items suitable for evaluating the image quality. Therefore, the diagnostic site information representing the diagnostic site "breast" is associated in advance with the information indicating the evaluation item "spatial resolution in the depth direction" and the evaluation item "contrast", and is stored in the storage unit 24 in advance.

[0100] When the diagnostic site is the liver, penetration and speckle reduction are evaluation items suitable for evaluating the image quality. Therefore, the diagnostic site information representing the diagnostic site "liver" is associated in advance with the information indicating the evaluation items "penetration" and "speckle reduction", and is stored in the storage unit 24 in advance.

[0101] The site information acquisition unit 28 acquires the diagnostic site information representing the diagnostic site where the ultrasonic wave is transmitted and received. The image quality evaluation unit 26 calculates an individual evaluation value for the evaluation item used to evaluate the image quality of the ultrasonic image of the diagnostic site represented by the diagnostic site information. That is, the image quality evaluation unit 26 calculates the individual evaluation value of each of the one or more evaluation items associated with the diagnostic site. For example, when the diagnostic site is "breast", the image quality evaluation unit 26 calculates the individual evaluation value for the evaluation item "spatial resolution in the depth direction" and the individual evaluation value for the evaluation item "contrast". And the image quality evaluation unit 26 calculates a comprehensive evaluation value S based on these individual evaluation values.

[0102] For example, when the comprehensive evaluation value S is below the threshold value, as Figure 2 shown, the notification unit 30 displays the image quality parameter (i.e., the image quality parameter of the object to be changed) for increasing the comprehensive evaluation value S on the screen 34. The image quality parameter of the object to be changed is determined in the same manner as in Embodiment 1-1.

[0103] In Embodiments 1-2, the above-mentioned thresholds are determined in advance for each diagnostic site. For example, the threshold for the diagnostic site "breast" and the threshold for the diagnostic site "liver" are determined in advance and stored in the storage unit 24. When the diagnostic site is "breast", when the comprehensive evaluation value S is equal to or lower than the threshold for breast, the notification unit 30 displays the image quality parameters for improving the comprehensive evaluation value S on the screen 34. The same applies to other diagnostic sites.

[0104] In Embodiments 1-2, in order to calculate the above-mentioned individual evaluation value x1, as the extended value of the luminance distribution as a predetermined standard, the extended value of the luminance distribution determined according to the diagnostic site is used. Similarly, in order to calculate the above-mentioned individual evaluation value x2, as the extended value of the spectral distribution as a predetermined standard, the extended value of the spectral distribution determined according to the diagnostic site is used. In order to calculate the above-mentioned individual evaluation value x3, based on the average luminance value as a predetermined standard, the average luminance value determined according to the diagnostic site is used.

[0105] According to Embodiments 1-2, the image quality is evaluated according to the evaluation items suitable for evaluating the image quality of the ultrasonic image representing the diagnostic site, so that the user can be assisted in changing the image quality parameters for adjusting the image quality of the ultrasonic image representing the diagnostic site.

[0106] In Embodiments 1-2, when the diagnostic site specified by the user is different from the diagnostic site identified by the site identification process, the notification unit 30 can display the information prompting the correction of the diagnostic site specified by the user on the display unit 20. For example, the user inputs the diagnostic site information representing the diagnostic site into the ultrasonic diagnostic apparatus 10 using the operation unit 22. And the site information acquisition unit 28 identifies the diagnostic site by applying the site identification process to the ultrasonic image. When the diagnostic site specified by the user is different from the diagnostic site identified by the site identification process, the notification unit 30 displays the information prompting the correction of the diagnostic site on the display unit 20. For example, the notification unit 30 displays a message indicating that the diagnostic site specified by the user is different from the automatically identified diagnostic site on the display unit 20. If the user uses the operation unit 22 to correct the diagnostic site, the process according to Embodiments 1-2 is executed with the corrected diagnostic site as the object.

[0107] Moreover, when the diagnostic site identified by the site identification process is different from the actual diagnostic site, the notification unit 30 can display the information for correcting the diagnostic site on the display unit 20. For example, if the user uses the operation unit 22 to correct the diagnostic site, the process according to Embodiments 1-2 is executed with the corrected diagnostic site as the object.

[0108] (Embodiment 1-3)

[0109] In Embodiments 1-3, the image quality evaluation unit 26 may calculate the individual evaluation value and the comprehensive evaluation value in real time during the transmission and reception of ultrasonic waves, may calculate the individual evaluation value and the comprehensive evaluation value after acquiring a pre-determined number of ultrasonic images, or may calculate the individual evaluation value and the comprehensive evaluation value after a pre-determined time has elapsed from a certain point in time (e.g., the start point of shooting).

[0110] For example, by calculating the individual evaluation value and the comprehensive evaluation value in real time, it is possible to follow the change and evaluate the image quality even when the part (e.g., cross-section) where the ultrasonic waves are transmitted and received changes. As a result, it becomes easier for the user to associate the operation of the ultrasonic probe 12 with the evaluation value, and the operation method of the ultrasonic probe 12 (e.g., the contact method of the ultrasonic probe 12) can be determined quickly.

[0111] (Embodiment 1-4)

[0112] In Embodiment 1-4, when there is a user instruction, the image quality evaluation unit 26 calculates the individual evaluation value and the comprehensive evaluation value. The user can provide an instruction to the image quality evaluation unit 26 by operating the operation unit 22. An image (e.g., icon or button image) for providing this instruction is displayed on the display unit 20, and the user can press this image or the like to provide an instruction to the image quality evaluation unit 26.

[0113] For example, the image quality evaluation unit 26 may calculate the individual evaluation value and the comprehensive evaluation value in real time until the user instructs to stop the evaluation, or may calculate the individual evaluation value and the comprehensive evaluation value when the user provides an evaluation instruction.

[0114] According to Embodiment 1-4, the image quality is evaluated at the moment desired by the user, so unnecessary notifications to the user are not made.

[0115] (Embodiment 1-5)

[0116] Reference Figure 3 , Embodiment 1-5 will be described. Figure 3 A screen showing the evaluation value and the image quality parameter is shown.

[0117] In Embodiment 1-5, the notification unit 30 displays the individual evaluation value of each evaluation item on the display unit 20. The notification unit 30 may display the comprehensive evaluation value on the display unit 20 and display the individual evaluation value of each evaluation item on the display unit 20, or may not display the comprehensive evaluation value on the display unit 20 and display the individual evaluation value of each evaluation item on the display unit 20.

[0118] Figure 3 The screen 34 shown is displayed on the display unit 20. As with Figure 2Similarly, in the example shown, the ultrasonic image 36, the information indicating the diagnostic site (reference numeral 38), and the list 42 of the image quality parameters to be changed are displayed on the screen 34. In the list 42, information indicating the change direction of each image quality parameter is shown.

[0119] Moreover, in Embodiments 1-5, the notification unit 30 displays the graph 50 indicating each individual evaluation value and the list 52 of the individual evaluation values on the screen 34. Further, the notification unit 30 displays the score as the comprehensive evaluation value on the screen 34. Figure 3 "Score: 89" in this is the comprehensive evaluation value before changing the image quality parameters.

[0120] For example, individual evaluation values are calculated respectively for evaluation items such as "resolution", "contrast", and "penetration", and these individual evaluation values are included in the list 52. Similar to Embodiments 1-2, individual evaluation values regarding each individual evaluation associated with the diagnostic site can also be calculated.

[0121] For example, the individual evaluation value of the evaluation item "resolution" is 81%. The individual evaluation value of the evaluation item "contrast" is 124%. The graph 50a shows the individual evaluation value of the evaluation item "resolution". The graph 50b shows the individual evaluation value of the evaluation item "contrast". In this way, the individual evaluation values of the evaluation items are visualized by the graphs.

[0122] In Embodiments 1-5, the image quality evaluation unit 26 calculates the evaluation value calculated when changing the image quality parameter in accordance with the change direction as the estimated evaluation value. The notification unit 30 displays this estimated evaluation value on the display unit 20. For example, the image quality evaluation unit 26 calculates each of the individual evaluation value and the comprehensive evaluation value as the estimated evaluation value.

[0123] Figure 3 "Score: 100" in this is the comprehensive evaluation value as the estimated evaluation value calculated by changing the image quality parameter. The graph 54 is a graph showing each individual evaluation value as the estimated evaluation value. The graph 54a is the individual evaluation value as the estimated evaluation value of the evaluation item "resolution". The graph 54b is the individual evaluation value as the estimated evaluation value of the evaluation item "contrast".

[0124] Hereinafter, the calculation of the estimated evaluation value will be described.

[0125] The image quality evaluation unit 26 changes only a certain value in the changing direction for one or more image quality parameters associated with each evaluation item. The image generation unit 16 generates an ultrasonic image based on the received frame output from the transceiver unit 14 according to each changed image quality parameter. The image quality evaluation unit 26 calculates individual evaluation values and a comprehensive evaluation value for the ultrasonic image after each image quality parameter is changed. In this way, the image quality evaluation unit 26 re-evaluates the image quality of the ultrasonic image after each image quality parameter to be changed is changed. The image quality evaluation unit 26 can change each image quality parameter to be changed by a certain value multiple times and re-evaluate the image quality of the ultrasonic image multiple times. For example, the image quality evaluation unit 26 generates multiple image quality parameters changed by a certain value for each image quality parameter to be changed to create multiple conditions, the image generation unit 16 generates ultrasonic images under each condition, and the image quality evaluation unit 26 evaluates the image quality of the ultrasonic images generated under each condition.

[0126] For example, when the individual evaluation value regarding the evaluation item "contrast" is lower than the comprehensive evaluation value S, the image quality evaluation unit 26 generates different five values for the image quality parameters "gain" and "red noise" associated with the evaluation item "contrast" respectively to create multiple conditions. The image generation unit 16 generates ultrasonic images under each condition. The image quality evaluation unit 26 evaluates the image quality of the ultrasonic images generated under each condition. The image quality evaluation unit 26 determines one or more image quality parameters for which the individual evaluation values regarding evaluation items other than the evaluation item "contrast" (for example, spatial resolution or SNR) are not low and the individual evaluation value regarding the evaluation item "contrast" becomes higher, and determines the values of the determined one or more image quality parameters.

[0127] The notification unit 30 can display the determined one or more image quality parameters as recommended parameters on the screen 34. Also, the notification unit 30 can display the values of the determined one or more image quality parameters as recommended values on the screen 34.

[0128] The notification unit 30 displays the evaluation values (for example, individual evaluation values and comprehensive evaluation values) of the image quality of the ultrasonic image generated according to the recommended values as estimated evaluation values on the screen 34.

[0129] According to Embodiments 1-5, the user can easily understand the correlation between the changing direction of the image quality parameter and the inferred evaluation value (that is, the corrected evaluation value). As a result, it is easy for the user to adjust the image quality. Also, when the recommended values are displayed on the screen 34 and presented to the user, the user can refer to the recommended values to adjust the image quality.

[0130] (Embodiment 1-6)

[0131] Reference Figure 4 , the description of Embodiment 1-6 will be given.Figure 4 This is a diagram showing an ultrasonic image and a region of interest (ROI).

[0132] In Embodiments 1-6, the image quality evaluation unit 26 calculates an evaluation value based on the received signals included in the region of interest (ROI). For example, as Figure 4 shown, the screen 56 is displayed on the display unit 20. The ultrasonic image 58 (e.g., B-mode image) generated by transmitting and receiving ultrasonic waves is displayed on the screen 56. If the user designates a region of interest 60 on the ultrasonic image 58 using the operation unit 22, the image quality evaluation unit 26 evaluates the image quality with the designated region of interest 60 as the object. That is, the image quality evaluation unit 26 calculates the individual evaluation value and the comprehensive evaluation value of the image within the region of interest 60.

[0133] In Embodiments 1-6, the processes related to Embodiments 1-1 to 1-5 are also executed. For example, the image quality parameters for improving the evaluation values (e.g., individual evaluation value and comprehensive evaluation value) calculated based on the image within the region of interest are determined, and the determined image quality parameters and the information indicating the change direction of the image quality parameters are notified to the user.

[0134] According to Embodiment 1-6, the image quality parameters can be changed in a form specific to the region of interest that the user is interested in.

[0135] (Embodiment 1-7)

[0136] In Embodiment 1-7, as described above, a plurality of evaluation items for evaluating the image quality of the ultrasonic image are determined in advance. The image quality evaluation unit 26 calculates the individual evaluation value for the evaluation item selected by the user from the plurality of evaluation items. The notification unit 30 displays the calculated individual evaluation value on the display unit 20 etc. and notifies the user.

[0137] Moreover, the image quality evaluation unit 26 determines one or more image quality parameters and the change direction of each image quality parameter for improving the individual evaluation value for each evaluation item. This determination method is the same as the determination method related to Embodiment 1-1 described above.

[0138] The image generation unit 16 generates an ultrasonic image according to the changed image quality parameters for improving the individual evaluation value for each evaluation item. That is, the image quality evaluation unit 26 determines the change direction of the image quality parameters for improving the individual evaluation value, and the image generation unit 16 changes the image quality parameter only by a certain value in its change direction, and generates an ultrasonic image according to the changed value. The notification unit 30 displays the generated ultrasonic image on the display unit 20.

[0139] Hereinafter, Embodiment 1-7 will be described with reference to Figure 5 and Figure 6 , and Embodiment 1-7 will be explained. Figure 5Displays a screen 34 showing evaluation values and image quality parameters. Figure 6 Displays a selection screen 62 for selecting evaluation items.

[0140] If an ultrasonic image is generated and the image quality is evaluated, then as Figure 5 shown, the ultrasonic image 36, the diagnostic site information (reference numeral 38), the list 52 of individual evaluation values, and the graph 50 are displayed on the screen 34. Figure 5 The content shown is the same as a part of the content shown in Figure 3 shown.

[0141] For example, an image (e.g., an icon or a button image) for instructing the display of the selection screen 62 is displayed on the display unit 20. If the user presses the image or the like using the operation unit 22 to instruct the display of the selection screen 62, the notification unit 30 displays the selection screen 62 on the display unit 20.

[0142] The notification unit 30 displays selection areas 64, 66, 68,... on the selection screen 62. Each selection area is an area for the user to select an evaluation item. For example, the selection area 64 is an area for selecting the evaluation item "resolution". The selection area 66 is an area for selecting the evaluation item "contrast". The selection area 68 is an area for selecting the evaluation item "penetration".

[0143] A check box 70 is displayed within the selection area 64. The user can select the evaluation item "resolution" by checking the check box 70 (i.e., by selecting) on the selection screen 62. The user can cancel the selection of the evaluation item "resolution" by unchecking the check box 70 (i.e., by clearing) on the selection screen 62.

[0144] Similarly, a check box 72 is displayed within the selection area 66, and a check box 74 is displayed within the selection area 68. The user can select or cancel the selection of the evaluation item "contrast" by operating the check box 72. The user can select or cancel the selection of the evaluation item "penetration" by operating the check box 74.

[0145] In Figure 6 the example shown, the evaluation items "resolution" and "contrast" are selected by the user, and the evaluation item "penetration" is not selected. In this case, the image quality evaluation unit 26 calculates individual evaluation values for each of the evaluation items "resolution" and "contrast". And the image quality evaluation unit 26 calculates a comprehensive evaluation value based on the individual evaluation values for each of the evaluation items "resolution" and "contrast". The notification unit 30 displays the individual evaluation values and the comprehensive evaluation value for each of the evaluation items "resolution" and "contrast" on the screen 34.

[0146] Further, the image quality evaluation unit 26 determines one or more image quality parameters and the change directions of the respective image quality parameters for improving the individual evaluation values regarding the evaluation items "resolution", "contrast", "penetration",... The image generation unit 16 generates an ultrasonic image based on the changed image quality parameters for improving the individual evaluation values regarding the evaluation items "resolution", "contrast", "penetration",... The notification unit 30 displays the generated ultrasonic image on the selection screen 62.

[0147] For example, the ultrasonic image 76 is an ultrasonic image generated based on one or more changed image quality parameters for improving the individual evaluation value regarding the evaluation item "resolution", and is displayed within the selection area 64. The ultrasonic image 78 is an ultrasonic image generated based on one or more changed image quality parameters for improving the individual evaluation value regarding the evaluation item "contrast", and is displayed in the selection area 66. The ultrasonic image 80 is an ultrasonic image generated based on one or more changed image quality parameters for improving the individual evaluation value regarding the evaluation item "penetration", and is displayed within the selection area 68. The ultrasonic images 76, 78, and 80 are sample images adjusted from the viewpoints of the respective evaluation items. The user can select the evaluation items with reference to the ultrasonic images 76, 78, and 80.

[0148] Further, an image 82 such as an icon or a button image can be displayed on the selection screen 62. The image 82 is an image for the user to indicate image quality evaluation. For example, if the user selects an evaluation item on the selection screen 62 and presses the image 82, the image quality evaluation unit 26 calculates the individual evaluation value and the comprehensive evaluation value regarding the evaluation item selected by the user, and the notification unit 30 displays the calculated individual evaluation value and comprehensive evaluation value on the screen 34.

[0149] The user can select an evaluation item before calculating the individual evaluation value and the comprehensive evaluation value regarding the preset default evaluation item, or can also select an evaluation item after calculating the individual evaluation value and the comprehensive evaluation value regarding the preset default evaluation item.

[0150] According to Embodiments 1-7, it is easy to change the image quality parameters related to the evaluation items required by the user.

[0151] (Embodiment 1-8)

[0152] In Embodiment 1-8, the image quality evaluation unit 26 calculates the recommended values of the image quality parameters for improving the evaluation values. For example, as described in the above Embodiments 1-5, the image quality evaluation unit 26 determines one or more recommended parameters and recommended values. The notification unit 30 displays the recommended values on the display unit 20, etc. and notifies the user.

[0153] Figure 7A display example of a recommended value. For example, when generating an ultrasonic image and evaluating the image quality, the ultrasonic image 36, the diagnostic site information (reference sign 38), the list 52 of individual evaluation values, the charts 50, 54, and the list 84 of image quality parameters to be changed are displayed on the screen 34. The list 84 of image quality parameters to be changed is the same as the list 42 shown in Figure 2 and Figure 3 shown. Similarly, the "transmission frequency" ( Figure 7 the "frequency" in), the "number of frame smoothing" ( Figure 7 the "red noise" in), and the "gain" are determined as the image quality parameters to be changed.

[0154] Moreover, the recommended value "+1" is calculated as the recommended value of the image quality parameter "transmission frequency" and is displayed in the display area of the image quality parameter "transmission frequency" in the list 84. The recommended value "+2" is calculated as the recommended value of the image quality parameter "number of frame smoothing" and is displayed in the display area of the image quality parameter "number of frame smoothing" in the list 84. The recommended value "-5" is calculated as the recommended value of the image quality parameter "gain" and is displayed in the display area of the image quality parameter "gain" in the list 84. The user can refer to these recommended values to change the values of the respective image quality parameters.

[0155] According to Embodiments 1-8, the recommended values are notified to the user, so the user can refer to the recommended values to change the values of the image quality parameters. Therefore, the trouble of user operations can be reduced.

[0156] In addition, an image 86 such as an icon or a button image can be displayed on the screen 34. The image 86 is an image for the user to give an instruction to automatically switch the values of the respective image quality parameters to the recommended values. If the user presses the image 86, the image generation unit 16 automatically switches the values of the respective image quality parameters to the recommended values and generates an ultrasonic image according to the recommended values of the respective image quality parameters. Thus, even if the user does not manually change the values of the respective image quality parameters, the recommended ultrasonic image is generated. For example, this ultrasonic image is displayed on the screen 34.

[0157] <Second Embodiment>

[0158] Refer to Figure 8 to describe the ultrasonic diagnostic apparatus 100 according to the second embodiment. Figure 8 is a block diagram showing an example of the configuration of the ultrasonic diagnostic apparatus 100 according to the second embodiment.

[0159] The ultrasonic diagnostic apparatus 100, similar to the ultrasonic diagnostic apparatus 10 according to the first embodiment, includes an ultrasonic probe 12, a transceiver unit 14, an image generation unit 16, a display processing unit 18, a display unit 20, an operation unit 22, a storage unit 24, and a control unit 32. These configurations and functions are the same as those of the first embodiment.

[0160] Moreover, the ultrasonic diagnostic apparatus 100 includes an image quality evaluation unit 102, a change unit 104, and a notification unit 106. The image quality evaluation unit 102 evaluates the image quality of the ultrasonic image generated by the image generation unit 16. The change unit 104 changes the image quality parameters. The notification unit 106 notifies the user of various information.

[0161] Hereinafter, each embodiment according to the second embodiment will be described.

[0162] (Embodiment 2-1)

[0163] Hereinafter, Embodiment 2-1 will be described.

[0164] The image quality evaluation unit 102 evaluates the image quality of the ultrasonic image generated by the image generation unit 16. The image quality evaluation unit 102 can evaluate the image quality of the ultrasonic image based on the ultrasonic image output from the image generation unit 16, or can evaluate the image quality of the ultrasonic image based on the received signal or received frame. Hereinafter, as an example, the image quality evaluation unit 102 evaluates the image quality of the ultrasonic image based on the ultrasonic image output from the image generation unit 16.

[0165] The image quality evaluation unit 102 can evaluate the image quality of the ultrasonic image by the same process as the image quality evaluation unit 26 according to the first embodiment. For example, the image quality evaluation unit 102 can calculate individual evaluation values for each evaluation item (e.g., spatial resolution, contrast, SNR, etc.), and calculate a comprehensive evaluation value based on the multiple individual evaluation values.

[0166] As another example, the image quality evaluation unit 102 can evaluate the image quality of the ultrasonic image based on a combination of multiple quantitative values such as the frequency component, average luminance value, and luminance distribution of the ultrasonic image, or can evaluate the image quality of the ultrasonic image based on an analysis algorithm using the quantitative values as feature quantities.

[0167] As still another example, the image quality evaluation unit 102 can use a machine learning algorithm to evaluate the image quality of the ultrasonic image. The machine learning algorithm is an algorithm that is pre-learned using ultrasonic images with high evaluation values as teacher images, and is an algorithm for determining ultrasonic images with high evaluation values.

[0168] In the second embodiment, the image generation unit 16 generates a first ultrasonic image according to the first image quality parameter. For example, the first image quality parameter is a pre-determined image quality parameter or an image quality parameter specified by the user. Similarly to the first embodiment, the image quality parameters are the transmission frequency, the number of frame smoothing, the gain, the transmission focus, the scan line density, the dynamic range, the luminance gamma curve, the composite number, etc.

[0169] If the first ultrasonic image is generated, the image quality evaluation unit 102 calculates a first evaluation value representing the evaluation of the image quality of the first ultrasonic image. For example, a comprehensive evaluation value is calculated as the first evaluation value.

[0170] The changing unit 104 generates a second image quality parameter different from the first image quality parameter by changing the image quality parameter. For example, when the first evaluation value is below a predetermined threshold, the changing unit 104 generates a second image quality parameter by changing the image quality parameter. For example, the changing unit 104 changes the image quality parameter according to a multivariable function to generate a second image quality parameter. As described in the first embodiment, the changing unit 104 can calculate a recommended value of the image quality parameter and determine the calculated recommended value as the second image quality parameter.

[0171] The changing unit 104 provides an instruction to change the image quality parameter to the image generation unit 16. The image generation unit 16 generates a second ultrasonic image according to the image quality parameter changed by the changing unit 104 (i.e., the second image quality parameter). According to the type of the image quality parameter, the changing unit 104 provides an instruction to change the image quality parameter to the transceiver unit 14. The transceiver unit 14 transmits and receives ultrasonic waves according to the image quality parameter changed by the changing unit 104 (i.e., the second image quality parameter). Thus, a received signal corresponding to the second image quality parameter is received by the transceiver unit 14.

[0172] For example, gain, dynamic range, brightness gamma curve, and compound number are image quality parameters related to the image generation unit 16. The changing unit 104 generates a plurality of second image quality parameters for the image generation unit 16 by changing these image quality parameters. The image generation unit 16 generates a second ultrasonic image according to the plurality of second image parameters.

[0173] And, for example, transmit focus, scan line density, and frequency are image quality parameters related to the transceiver unit 14. The changing unit 104 generates a plurality of second image quality parameters for the transceiver unit 14 by changing these image quality parameters. The transceiver unit 14 transmits and receives ultrasonic waves according to the plurality of second image parameters, thereby receiving a received signal corresponding to the plurality of second image parameters. By processing the received signal by the transceiver unit 14, a received frame corresponding to the plurality of second image parameters is generated and output to the image generation unit 16. The image generation unit 16 generates a second ultrasonic image based on the received frame.

[0174] The changing unit 104 may provide only an instruction to change the image quality parameter to the image generation unit 16, may provide an instruction to change the image quality parameter to both the transceiver unit 14 and the image generation unit 16, or may provide an instruction to change the image quality parameter to only the transceiver unit 14.

[0175] If the second ultrasonic image is generated, the image quality evaluation unit 102 calculates a second evaluation value representing the evaluation of the image quality of the second ultrasonic image. For example, a comprehensive evaluation value is calculated as the second evaluation value.

[0176] The notification unit 106 notifies the user of various information. For example, the notification unit 106 can display various information on the display unit 20, or output various information as sound information from the speaker.

[0177] In the second embodiment, when the second evaluation value is equal to or lower than a predetermined threshold value, the notification unit 106 notifies the user that even if the image quality parameter is changed, the evaluation value of the ultrasonic image quality will not exceed the threshold value. For example, the notification unit 106 can display a message indicating this meaning on the display unit 20, or display an image indicating this meaning on the display unit 20. Specifically, the notification unit 106 displays a message such as "Low score. Even if the image quality parameter is changed, the score will not increase" on the display unit 20. Further, the notification unit 106 displays a red image indicating that the evaluation value does not exceed the threshold value on the display unit 20.

[0178] For example, the change unit 104 sequentially changes each image quality parameter according to the above-described multivariate function to sequentially generate a plurality of second image quality parameters that are different from each other. Each time a change is made, the transceiver unit 14 transmits and receives ultrasonic waves according to the second image quality parameter, and the image generation unit 16 generates a second ultrasonic image according to the second image quality parameter. By changing the image quality parameter a plurality of times, a plurality of second ultrasonic images corresponding to the number of times are generated. The image quality evaluation unit 102 calculates a second evaluation value representing the evaluation of the image quality of each of the plurality of second ultrasonic images. Thus, the change of the second evaluation value is obtained.

[0179] For example, even if each image quality parameter is changed within a predetermined number of times, when the second evaluation value is not equal to or higher than the threshold value, the notification unit 106 can notify the user that even if the image quality parameter is changed, the evaluation value of the ultrasonic image quality will not exceed the threshold value.

[0180] When the second evaluation value becomes equal to or higher than the threshold value, the notification unit 106 can display a message indicating that the evaluation of the image quality has improved on the display unit 20, or display an image (for example, a blue image) indicating that the evaluation of the image quality has improved on the display unit 20. When the second evaluation value becomes equal to or higher than the threshold value, the notification unit 106 may not display the message or the image on the display unit 20. The fact that the second evaluation value becomes equal to or higher than the threshold value means that there is room for improving the image quality of the ultrasonic image by changing the image quality parameter.

[0181] As described above, according to the second embodiment, the user can reduce the trial-and-error time for adjusting the image quality of the ultrasonic image. That is, when the image quality of the ultrasonic image cannot be improved even if the image quality parameters are changed (i.e., even if the second evaluation value does not exceed the threshold), if the user manually adjusts the image quality parameters multiple times, the overall inspection time may be extended. According to the second embodiment, the user is notified that even if the image quality parameters are changed, the evaluation value of the image quality of the ultrasonic image does not exceed the threshold, so the trouble of the user adjusting the image quality of the ultrasonic image is eliminated. For example, it is considered that the user replaces the ultrasonic probe 12 with another ultrasonic probe 12 or temporarily performs the next inspection without changing the image quality parameters, thereby reducing the time required for adjusting the image quality of the ultrasonic image. Thus, the overall time of the ultrasonic inspection can be shortened.

[0182] (Example 2-2)

[0183] In Example 2-2, the threshold values described in Example 2-1 are determined for each subject. The notification unit 106 notifies the user that even if the threshold value is changed for each subject that transmits and receives ultrasonic waves and the image quality parameters are changed, the evaluation value of the image quality of the ultrasonic image does not exceed the threshold value.

[0184] Reference Figure 9 , Example 2-2 will be described in detail. Figure 9 is a block diagram for explaining the subject information and image quality evaluation unit 102.

[0185] Subject information is information indicating the attributes of a subject. For example, the attributes of a subject are the age, gender, BMI value, diagnostic site, and disease of the subject. If a specific example is given, being in one's 30s, male, BMI value of 20, and the liver are an example of the attributes of a subject. The subject information is input to the image quality evaluation unit 102. For example, the user can use the operation unit 22 to input the subject information related to the subject to be examined into the ultrasonic diagnostic apparatus 100, or can input the subject information into the ultrasonic diagnostic apparatus 100 via a communication path such as a network.

[0186] For each attribute of the subject indicated by the subject information, different threshold values are determined, and the threshold values corresponding to the attributes are stored in the storage unit 24 in advance. The image quality evaluation unit 102 acquires from the storage unit 24 the threshold value corresponding to the attribute of the subject indicated by the input subject information. The image quality evaluation unit 102 compares the calculated first evaluation value with the threshold value. When generating the second ultrasonic image to make the first evaluation value below the threshold value and calculating the second evaluation value, the image quality evaluation unit 102 compares the second evaluation value with the threshold value. When the second evaluation value is below the threshold value, the notification unit 106 notifies the user that even if the image quality parameters are changed, the evaluation value of the image quality of the ultrasonic image does not exceed the threshold value.

[0187] According to Example 2-2, the image quality of the ultrasonic image can be evaluated based on a threshold value corresponding to the attributes of the subject to be examined, so that the accuracy of the evaluation can be improved.

[0188] (Example 2-3)

[0189] In Example 2-3, the image quality evaluation unit 102 can calculate the first evaluation value and the second evaluation value in real time during the transmission and reception of ultrasonic waves. The change unit 104 can change the image quality parameters in real time during the transmission and reception of ultrasonic waves. That is, in Example 2-3, the generation of the first ultrasonic image, the calculation of the first evaluation value, the change of the image quality parameters, the generation of the second ultrasonic image, and the calculation of the second evaluation value can be performed in real time during the transmission and reception of ultrasonic waves.

[0190] As another example, after obtaining a pre-determined number of frames of ultrasonic images, the generation of the first ultrasonic image, the calculation of the first evaluation value, the change of the image quality parameters, the generation of the second ultrasonic image, and the calculation of the second evaluation value can be performed.

[0191] As still another example, the generation of the first ultrasonic image, the calculation of the first evaluation value, the change of the image quality parameters, the generation of the second ultrasonic image, and the calculation of the second evaluation value can be performed after a pre-determined time has elapsed from a certain point in time (for example, the start point of shooting).

[0192] For example, by evaluating the image quality and changing the image quality parameters in real time, even when the part (for example, the cross-section) where the ultrasonic waves are transmitted and received changes, the change can be followed to evaluate the image quality. As a result, it becomes easy for the user to associate the operation of the ultrasonic probe 12 with the evaluation value, and the operation method of the ultrasonic probe 12 (for example, the contact method of the ultrasonic probe 12) can be determined quickly.

[0193] (Example 2-4)

[0194] In Example 2-4, when there is a user instruction, the image quality evaluation unit 102 evaluates the ultrasonic image, and the change unit 104 changes the image quality parameters. The user can provide instructions to the image quality evaluation unit 102 and the change unit 104 by operating the operation unit 22. The image (for example, an icon or a button image) for providing this instruction is displayed on the display unit 20, and the user can press the image or the like to provide instructions to the image quality evaluation unit 102 and the change unit 104.

[0195] For example, the image quality evaluation unit 102 can evaluate the ultrasonic image in real time until the user instructs to stop the evaluation, or can evaluate the ultrasonic image when the user provides an evaluation instruction. Similarly, the change unit 104 can change the image quality parameters in real time until the user instructs to stop the change, and change the image quality parameters when the user provides a change instruction.

[0196] According to Embodiments 2-4, the image quality is evaluated and the image quality parameters are changed at the time desired by the user, so unnecessary notifications to the user are not made.

[0197] (Embodiment 2-5)

[0198] Reference Figure 10 , Embodiment 2-5 will be described. Figure 10 is a diagram showing an ultrasonic image and a region of interest (ROI).

[0199] In Embodiment 2-5, the image quality evaluation unit 102 calculates a first evaluation value and a second evaluation value based on the image included in the region of interest (ROI) set in the ultrasonic image. For example, as Figure 10 shown, the screen 108 is displayed on the display unit 20. The ultrasonic image 110 (for example, a B-mode image) generated by transmitting and receiving ultrasonic waves is displayed on the screen 108. If the user designates a region of interest 112 on the ultrasonic image 110 using the operation unit 22, the image quality evaluation unit 102 evaluates the image quality of the image within the designated region of interest 112. That is, the image quality evaluation unit 102 calculates the first evaluation value and the second evaluation value of the image within the region of interest 112.

[0200] In Embodiment 2-5, the processes related to Embodiments 2-1 to 2-4 described above are also executed. For example, when the first evaluation value is below the threshold, the image quality parameters are changed to generate a second ultrasonic image, and the second evaluation value is calculated based on the second ultrasonic image. When the second evaluation value is below the threshold, the user is notified that the evaluation value does not exceed the threshold even if the image quality parameters are changed.

[0201] According to Embodiment 2-5, the image quality of the image included in the region of interest that the user is interested in is evaluated, so unnecessary notifications to the user are not made.

[0202] Moreover, in Embodiment 2-5, a plurality of evaluation items for evaluating the image quality of the ultrasonic image are determined in advance. The image quality evaluation unit 102 calculates a first individual evaluation value for the evaluation item selected by the user from the plurality of evaluation items based on the first ultrasonic image, and calculates a second individual evaluation value for the evaluation item selected by the user from the plurality of evaluation items based on the second ultrasonic image. When the first individual evaluation value is below the threshold, the changing unit 104 changes the image quality parameters. Thereby, a second ultrasonic image is generated. When the second individual evaluation value is below the threshold, the notification unit 106 notifies the user that the evaluation value of the image quality of the ultrasonic image does not exceed the threshold even if the image quality parameters are changed.

[0203] For example, as Figure 10As shown, the evaluation item list 114 is displayed on the screen 108. If the user selects an evaluation item on the screen 108, the image quality evaluation unit 102 calculates the first individual evaluation value for the selected evaluation item based on the first ultrasonic image, and calculates the second individual evaluation value for the selected evaluation item based on the second ultrasonic image.

[0204] When the second individual evaluation value is below the threshold value, similar to the above-described Embodiments 2-1 to 2-4, the notification unit 106 notifies the user that even if the image quality parameter is changed, the evaluation value will not exceed the threshold value.

[0205] Moreover, when the user selects a plurality of evaluation items, the image quality evaluation unit 102 calculates the first individual evaluation value for each of the plurality of selected evaluation items based on the first ultrasonic image, and calculates a comprehensive evaluation value based on the plurality of first individual evaluation values. When the comprehensive evaluation value calculated based on the plurality of first individual evaluation values is below the threshold value, the change unit 104 changes the image quality parameter. The image quality evaluation unit 102 calculates the second individual evaluation value for each of the plurality of evaluation items selected by the user based on the second ultrasonic image generated according to the changed image quality parameter, and calculates a comprehensive evaluation value based on the plurality of second individual evaluation values. When the comprehensive evaluation value calculated based on the plurality of second individual evaluation values is below the threshold value, the notification unit 106 notifies the user that even if the image quality parameter is changed, the evaluation value will not exceed the threshold value.

[0206] As described above, by evaluating the ultrasonic image for one or more evaluation items selected by the user, it is possible to evaluate the ultrasonic image from the evaluation viewpoints desired by the user. As a result, unnecessary notifications to the user are not made.

[0207] (Embodiment 2-6)

[0208] In Embodiment 2-6, the evaluation value is associated in advance with the image quality parameter to be changed in order to improve the evaluation value. The evaluation value here can be a comprehensive evaluation value or an individual evaluation value. Hereinafter, the comprehensive evaluation value will be taken as an example for description.

[0209] If the first evaluation value (for example, the comprehensive evaluation value) is calculated, the change unit 104 determines the combination of image quality parameters associated with the first evaluation value. For example, the change unit 104 determines the combination of image quality parameters associated with the first evaluation value by using a machine learning algorithm. The machine learning algorithm is an algorithm that has been pre-learned with the comprehensive evaluation value and the combination of image quality parameters to be changed in order to improve the comprehensive evaluation value, and is an algorithm for determining the combination of image quality parameters for improving the comprehensive evaluation value.

[0210] The image generation unit 16 generates the second ultrasonic image according to the combination of image quality parameters determined by the change unit 104.

[0211] According to Embodiments 2-6, the image quality parameters for improving the evaluation value are automatically determined, so that the image quality parameters can be effectively changed.

[0212] The image generation unit 16, the display processing unit 18, the image quality evaluation units 26 and 102, the part information acquisition unit 28, the notification units 30 and 106, the change unit 104, and the control unit 32 can be implemented by using hardware resources such as a processor or an electronic circuit, for example. In the implementation, devices such as a memory can also be used as needed. Further, the image generation unit 16, the display processing unit 18, the image quality evaluation units 26 and 102, the part information acquisition unit 28, the notification units 30 and 106, the change unit 104, and the control unit 32 can be implemented by a computer, for example. That is, all or part of the image generation unit 16, the display processing unit 18, the image quality evaluation units 26 and 102, the part information acquisition unit 28, the notification units 30 and 106, the change unit 104, and the control unit 32 can be implemented by the cooperation of hardware resources such as a CPU (Central Processing Unit) or a memory included in the computer and software (program) that defines the operations of the CPU and the like. The program is stored in the storage unit 24 of the ultrasonic diagnostic apparatuses 10 and 100 or other storage devices via a recording medium such as a CD or a DVD or via a communication path such as a network. As another example, the image generation unit 16, the display processing unit 18, the image quality evaluation units 26 and 102, the part information acquisition unit 28, the notification units 30 and 106, the change unit 104, and the control unit 32 can be implemented by a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. Of course, a GPU (Graphics Processing Unit) or the like can also be used. The image generation unit 16, the display processing unit 18, the image quality evaluation units 26 and 102, the part information acquisition unit 28, the notification units 30 and 106, the change unit 104, and the control unit 32 can be implemented by a single device or by a plurality of devices.

[0213] In addition, the functions of the image generation unit 16, the display processing unit 18, the image quality evaluation units 26 and 102, the part information acquisition unit 28, the notification units 30 and 106, and the change unit 104 can be executed by a device other than the ultrasonic diagnostic apparatuses 10 and 100 (for example, a personal computer or a server).

Claims

1. An ultrasonic diagnostic apparatus, characterized in that, Comprising: An image generation unit that generates a first ultrasonic image from received signals obtained by transmitting and receiving ultrasonic waves according to image quality parameters for generating an ultrasonic image; A calculation unit that calculates a first evaluation value representing an evaluation of the image quality of the first ultrasonic image; A change unit that changes the image quality parameters when the first evaluation value is below a predetermined threshold; and A notification unit, wherein The image generation unit generates a second ultrasonic image from received signals obtained by transmitting and receiving ultrasonic waves according to the image quality parameters changed by the change unit, The calculation unit calculates a second evaluation value representing an evaluation of the image quality of the second ultrasonic image, When the second evaluation value is below a predetermined threshold, the notification unit notifies the user that even if the image quality parameters are changed, the evaluation value of the image quality of the ultrasonic image does not exceed the threshold.

2. The ultrasonic diagnostic apparatus according to claim 1, characterized in that The threshold is determined for each subject to be examined, The notification unit changes the threshold for each subject to be examined that transmits and receives ultrasonic waves and notifies.

3. The ultrasonic diagnostic apparatus according to claim 1, characterized in that The calculation unit calculates the first evaluation value and the second evaluation value based on the images included in the region of interest in the ultrasonic image.

4. The ultrasonic diagnostic apparatus according to claim 1, characterized in that A plurality of evaluation items for evaluating the image quality of ultrasonic images are predetermined, The calculation unit calculates a first individual evaluation value regarding the evaluation item selected by the user from the plurality of evaluation items based on the first ultrasonic image, and calculates a second individual evaluation value regarding the evaluation item selected by the user from the plurality of evaluation items based on the second ultrasonic image, When the first individual evaluation value is below the threshold, the change unit changes the image quality parameters, When the second individual evaluation value is below the threshold, the notification unit notifies the user that even if the image quality parameters are changed, the evaluation value of the image quality of the ultrasonic image does not exceed the threshold.

5. The ultrasonic diagnostic apparatus according to claim 1, characterized in that The evaluation value is associated in advance with the image quality parameters to be changed in order to improve the evaluation value, The change unit determines the image quality parameters associated with the first evaluation value, The image generation unit generates the second ultrasonic image from received signals obtained by transmitting and receiving ultrasonic waves according to the image quality parameters determined by the change unit.

6. A computer-readable non-temporary recording medium that records a program that causes a computer to function as the following units: An image generation unit that generates a first ultrasonic image from received signals obtained by transmitting and receiving ultrasonic waves according to image quality parameters for generating an ultrasonic image; A calculation unit that calculates a first evaluation value representing an evaluation of the image quality of the first ultrasonic image; A change unit that changes the image quality parameters when the first evaluation value is below a predetermined threshold; And A notification unit, wherein The image generation unit generates a second ultrasonic image from the received signal obtained by transmitting and receiving ultrasonic waves according to the image quality parameters changed by the change unit. The calculation unit calculates a second evaluation value representing the evaluation of the image quality of the second ultrasonic image. When the second evaluation value is equal to or lower than a preset threshold value, the notification unit notifies the user that the evaluation value of the image quality of the ultrasonic image does not exceed the threshold value even if the image quality parameters are changed.

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