JP6325270B2 - Ultrasonic diagnostic apparatus and medical image processing program - Google Patents

Description

Embodiments described herein relate generally to an ultrasonic diagnostic apparatus and a medical image processing program.

  In the Doppler examination of blood flow dynamics in the pulsed wave Doppler (PWD) method using an ultrasonic diagnostic apparatus, the same part may be observed from different positions and angles. This is because the test result such as the blood flow velocity changes depending on the position of the ultrasonic probe and the scan angle, and an appropriate test result may not be obtained depending on the conditions.

  When the same observation site is examined from different positions and angles, multiple ultrasonic Doppler images for the same observation site, that is, an image of the temporal change in blood flow velocity obtained by the PWD method is acquired as a moving image. Is done. For this reason, in order to grasp blood flow dynamics such as blood flow velocity, an optimal image is selected from a plurality of frames of ultrasonic Doppler images.

  Furthermore, a Doppler examination may be performed on a plurality of parts of the same subject. In that case, a plurality of ultrasonic Doppler images are collected from different positions and angles for each observation site. For this reason, each ultrasonic Doppler image corresponds to which imaging region by referring to a body mark or annotation recorded in each ultrasonic Doppler image in a B-mode image or Doppler inspection separately collected as an ultrasonic morphological image. Is determined.

JP 2008-183245 A JP 2011-067242 A

An object of the present invention is to provide an ultrasonic diagnostic apparatus and a medical image processing program capable of displaying an ultrasonic Doppler image acquired by Doppler examination in an easy-to-understand manner for a user.

An ultrasonic diagnostic apparatus according to an embodiment of the present invention includes a scanning unit, an examination position acquisition unit, a storage unit, and an image classification unit. The scanning unit receives ultrasonic Doppler signals at a plurality of positions in different spaces, and generates ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals. The inspection position acquisition unit acquires the plurality of positions as position information. The storage means stores the position information attached to the ultrasonic Doppler image data of the plurality of frames. The image classification unit generates information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on at least the position information stored in the storage unit, and the plurality of frames of ultrasonic Doppler. Information for arranging at least a part of the ultrasonic Doppler image data of the plurality of frames in at least one group of the plurality of groups is generated based on a parameter related to the image data.
The ultrasonic diagnostic apparatus according to the embodiment of the present invention includes a scanning unit, an examination position acquisition unit, a storage unit, and an image classification unit. The scanning unit receives ultrasonic Doppler signals at a plurality of positions in different spaces, and generates ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals. The inspection position acquisition unit acquires the plurality of positions as position information. The storage means stores the position information attached to the ultrasonic Doppler image data of the plurality of frames. An image classification unit classifies the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on the position information stored in the storage unit and parameters related to the plurality of frames of ultrasonic Doppler image data. Generate information for .
The ultrasonic diagnostic apparatus according to the embodiment of the present invention includes a scanning unit, an examination position acquisition unit, a storage unit, and an image classification unit. The scanning unit receives an ultrasonic Doppler signal as a continuous wave from a scanning line by a continuous wave Doppler method at a plurality of positions in different spaces, and corresponds to the plurality of positions based on the received ultrasonic Doppler signal. A plurality of frames of ultrasonic Doppler image data are generated. The inspection position acquisition unit acquires the plurality of positions as position information. The storage means stores the position information attached to the ultrasonic Doppler image data of the plurality of frames. The image classification unit generates information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on at least the position information stored in the storage unit.
The ultrasonic diagnostic apparatus according to the embodiment of the present invention includes a scanning unit, an examination position acquisition unit, a storage unit, and an image classification unit. The scanning unit receives ultrasonic Doppler signals at a plurality of positions in different spaces, and generates ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals. The inspection position acquisition unit acquires the plurality of positions as position information. The storage means stores the position information attached to the ultrasonic Doppler image data of the plurality of frames. The image classification unit generates information for classifying the plurality of frames of ultrasonic Doppler image data into a specified number of groups based on at least the position information stored in the storage unit.
The ultrasonic diagnostic apparatus according to the embodiment of the present invention includes a scanning unit, an examination position acquisition unit, a storage unit, and an image classification unit. The scanning unit receives ultrasonic Doppler signals at a plurality of positions in different spaces, and generates ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals. The examination position acquisition unit includes at least a sensor that detects the position of the ultrasonic probe, and acquires the plurality of positions as position information. The storage means stores the position information attached to the ultrasonic Doppler image data of the plurality of frames. The image classification unit generates information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on at least the position information stored in the storage unit.
The medical image processing program according to the embodiment of the present invention causes a computer to function as an image acquisition unit, an examination position acquisition unit, a storage unit, and an image classification unit. The image acquisition means acquires a plurality of frames of ultrasound Doppler image data corresponding to the plurality of positions generated based on the ultrasound Doppler signals received from the same subject at a plurality of positions in different spaces. . The inspection position acquisition unit acquires the plurality of positions as position information. The storage means stores the position information attached to the ultrasonic Doppler image data of the plurality of frames. The image classification unit generates information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on at least the position information stored in the storage unit, and the plurality of frames of ultrasonic Doppler. Information for arranging at least a part of the ultrasonic Doppler image data of the plurality of frames in at least one group of the plurality of groups is generated based on a parameter related to the image data.
The medical image processing program according to the embodiment of the present invention causes a computer to function as an image acquisition unit, an examination position acquisition unit, a storage unit, and an image classification unit. The image acquisition means acquires a plurality of frames of ultrasound Doppler image data corresponding to the plurality of positions generated based on the ultrasound Doppler signals received from the same subject at a plurality of positions in different spaces. . The inspection position acquisition unit acquires the plurality of positions as position information. The storage means stores the position information attached to the ultrasonic Doppler image data of the plurality of frames. An image classification unit classifies the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on the position information stored in the storage unit and parameters related to the plurality of frames of ultrasonic Doppler image data. Generate information for.

1 is a configuration diagram of an ultrasonic diagnostic apparatus according to a first embodiment of the present invention. 2 is a flowchart showing an example of the operation of the ultrasonic diagnostic apparatus shown in FIG. The schematic diagram explaining the method of attaching the spatial position of the ROI marker as scanning position information to ultrasonic Doppler image data of a plurality of frames. The flowchart which shows an example of the creation algorithm of a group for grouping ultrasonic Doppler image data. The flowchart which shows the flow of the clustering process using the shortest distance method. The figure which shows an example of the classification result of the 3D coordinate of the ROI marker by the shortest distance method shown in FIG. The figure which shows the example which carried out the classification display of the ultrasonic Doppler image according to the classification result shown in FIG. The flowchart which shows the flow of the clustering process using the k-means method. The figure which shows an example of the classification result of the 3D coordinate of the ROI marker by the k-means method shown in FIG. The figure which shows the example which carried out the classification display of the ultrasonic Doppler image according to the classification result shown in FIG. The figure which shows the example which carried out classification display of the ultrasonic Doppler image based on the speed of the blood flow. The figure which shows the example which arranged and displayed the ultrasonic Doppler image in order of the maximum flow velocity of the blood flow. The figure which shows the example of the ultrasonic Doppler image which can be grouped and displayed by the ultrasonic diagnostic apparatus and medical image processing apparatus which are shown in FIG. The figure explaining the function of the ultrasonic diagnostic apparatus and medical image processing apparatus which concern on the 2nd Embodiment of this invention. The figure explaining the function of the ultrasonic diagnostic apparatus and medical image processing apparatus which concern on the 3rd Embodiment of this invention.

An ultrasound diagnostic apparatus and a medical image processing program according to embodiments of the present invention will be described with reference to the accompanying drawings.

(First embodiment)
FIG. 1 is a configuration diagram of an ultrasonic diagnostic apparatus according to the first embodiment of the present invention.

  The ultrasonic diagnostic apparatus 1 is configured by connecting an ultrasonic probe 3, an input device 4, and a display device 5 to a main body 2. A sensor 6 is attached to the ultrasonic probe 3. The main body 2 includes a transmission / reception unit 7 and a medical image processing apparatus 8. The medical image processing apparatus 8 includes a scan control unit 9, an image data generation unit 10, a probe position specification unit 11, an examination position addition unit 12, an image data storage unit 13, an image classification unit 14, and a display processing unit 15.

  The ultrasonic probe 3 includes a plurality of ultrasonic transducers for transmitting and receiving ultrasonic waves toward the subject. Each ultrasonic transducer converts a transmission signal applied as an electrical signal into an ultrasonic signal and transmits it inside the subject, while receiving an ultrasonic reflected wave generated inside the subject and receiving it as an electrical signal. It has the function of converting it into a signal and outputting it.

  The sensor 6 has a function of detecting at least the position of the ultrasonic probe 3. A sensor 6 that detects the position and orientation of the ultrasonic probe 3 may be attached to the ultrasonic probe 3. A specific example of the sensor 6 is a magnetic sensor, but any sensor having a necessary function can be used. Further, instead of detecting the position and orientation of the ultrasonic probe 3, the sensor 6 may detect the position and orientation of the scanning section to be subjected to ultrasonic scanning.

  The transmission / reception unit 7 has a function of transmitting ultrasonic waves by applying a drive pulse as a transmission signal to a plurality of ultrasonic transducers provided in the ultrasonic probe 3 and a plurality of ultrasonic vibrations provided in the ultrasonic probe 3. It has a function of generating a radio frequency (RF) signal as an ultrasonic reception signal for each scanning position by receiving a reception signal output from each child and performing necessary signal processing such as phasing addition.

  The scan control unit 9 is a control system for executing an ultrasonic scan by outputting a control signal to the transmission / reception unit 7 in accordance with a scan condition. Examples of the ultrasonic scan include a B-mode scan that collects B-mode image data that is ultrasonic morphological image data of the subject and an ultrasonic Doppler scan that collects ultrasonic Doppler image data representing blood flow dynamics information of the subject. It is done.

  Ultrasonic Doppler scans include PWD scans that collect ultrasonic Doppler signals using the PWD method, color Doppler scans that collect ultrasonic Doppler signals using the color Doppler method, and ultrasonic Doppler scans that use the continuous wave Doppler (CWD) method. There are CWD scans that collect signals. The color Doppler method is also called a CFM (Color Flow Mapping) method.

  The PWD scan is a scan in which an ultrasonic pulse is intermittently transmitted to a specific scanning point and an ultrasonic Doppler signal is collected as a pulse wave from the scanning point. For this reason, according to the PWD scan, it is possible to collect ultrasonic Doppler image data representing blood flow dynamics such as blood flow velocity, power, and dispersion at a designated scan position.

  CFM scan is a scan that includes multiple scan points by sequentially transmitting ultrasonic pulses intermittently to multiple scan points in a two-dimensional (2D) or three-dimensional (3D) scan region. This is a scan for collecting ultrasonic Doppler signals as pulse waves from a region. For this reason, according to the CFM scan, color Doppler image data mapped in a color corresponding to a value representing a blood flow dynamics such as a blood flow velocity in the scan region can be collected.

  The CWD scan is a scan that continuously transmits ultrasonic waves in a specific scanning direction and collects ultrasonic Doppler signals as continuous waves from the scanning lines.

  The scanning position and the scanning region that are the targets of these ultrasonic Doppler scans can be set using a B-mode image collected by the B-mode scan as a guide. Specifically, for example, in the case of a PWD scan, by setting a region of interest (ROI) marker to be a PWD scan target on a B-mode image, the PWD scan position can be set. it can. In the case of a PWD scan that scans a specific point and detects blood flow dynamics, the ROI marker that designates a point-like position is used in the case of a CWD scan that detects blood flow dynamics on the scan line. In the case where the linear ROI marker along the scanning line is a CFM scan for detecting blood flow dynamics in the 2D region, for example, a ROI marker for designating a region such as a square region is superimposed on the B-mode image. Is set. Note that the B-mode image serving as a guide is not limited to a 2D image, and may be a 3D image.

  The image data generation unit 10 has a function of generating ultrasonic image data based on the ultrasonic reception signal generated in the transmission / reception unit 7, specifically, when an ultrasonic signal is collected by B-mode scanning. B-mode image data is generated by B-mode processing on the ultrasonic reception signal. On the other hand, when an ultrasonic Doppler signal is received by the ultrasonic probe 3, ultrasonic Doppler image data is generated by Doppler processing on the ultrasonic Doppler signal. The ultrasonic image data generated by the image data generation unit 10 can be stored in the image data storage unit 13.

  The probe position specifying unit 11 has a function of specifying the spatial position of the ultrasonic probe 3 by receiving the position detection signal of the ultrasonic probe 3 output from the sensor 6. Specifically, the probe position specifying unit 11 has a function of acquiring three-dimensional (3D) coordinates of the ultrasonic probe 3. When the detection signal of the direction of the ultrasonic probe 3 is also output from the sensor 6, vector information representing the position and orientation of the ultrasonic probe 3 is acquired by the probe position specifying unit 11.

  The inspection position adding unit 12 is geometrically based on the spatial position of the ultrasonic probe 3 specified by the probe position specifying unit 11 and the position on the B-mode image of the ROI marker set as the imaging condition and the scanning condition. It has a function for obtaining the spatial position of the ROI marker and a function for attaching the spatial position of the ROI marker as supplementary information to the corresponding ultrasonic Doppler image data. When vector information representing the position and orientation of the ultrasonic probe 3 is acquired by the probe position specifying unit 11, the spatial position and orientation of the ROI marker are obtained and attached to the corresponding ultrasonic Doppler image data as vector information. You may make it make it.

  Alternatively, instead of the spatial position and orientation of the ROI marker, the spatial position of the ultrasonic probe 3, the spatial position and orientation of the ultrasonic probe 3, the spatial position of the scanning position, the spatial position and orientation of the scanning position, etc. Information for obtaining the position or the spatial position and orientation of the ROI marker may be attached to the corresponding ultrasonic Doppler image data as additional information.

  The spatial position of the ROI marker is the B mode of the ROI marker in which the spatial position of the transducer surface of the ultrasonic probe 3 detected by the sensor 6 is set as the distance between the transducer surface of the ultrasonic probe 3 and the ROI marker. It can be calculated by offsetting the distance corresponding to the position on the image.

  When a plurality of ROI markers having different positions are set on a B-mode image and a plurality of frames of ultrasonic Doppler image data are captured, the image classification unit 14 is based on at least the position of the ROI marker in space. A function of generating information for classifying the ultrasonic Doppler image data of the frame into a plurality of groups; The position of the ROI marker in the space for classifying the ultrasonic Doppler image data can be acquired by referring to the incidental information of the ultrasonic Doppler image data added by the inspection position adding unit 12.

  In addition, when the information for obtaining the position of the ROI marker in the space is incidental information of the ultrasonic Doppler image data, the image classification unit 14 determines the ROI marker based on the incidental information before generating the classification information. The position in space can be obtained geometrically. In that case, the position of the ROI marker on the image is referred to for calculating the position of the ROI marker in space.

  In addition, when the direction of the ROI marker is also attached to the ultrasonic Doppler image data as incidental information, in addition to the position information of the ROI marker, a plurality of frames of ultrasonic Doppler image data are converted based on the direction of the ROI marker. Information for classifying into groups can be generated. That is, when the orientation of the ultrasound probe 3 is detected by the sensor 6, a plurality of frames of ultrasound Doppler image data based on the position information of the ROI marker obtained as a scan target based on the orientation of the ultrasound probe 3. Can be generated for classifying the data into a plurality of groups.

  The classification information generated by the image classification unit 14 for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups can be used when displaying the plurality of frames of ultrasonic Doppler image data in parallel. That is, by using information for classifying a plurality of frames of ultrasonic Doppler image data into a plurality of groups, the plurality of frames of ultrasonic Doppler image data can be classified into a plurality of groups and displayed in parallel.

  Note that the image classification unit 14 can also designate the number of groups for classifying a plurality of frames of ultrasonic Doppler image data. In that case, the image classification unit 14 generates information for classifying a plurality of frames of ultrasonic Doppler image data into a designated number of groups.

  Further, the image classification unit 14 has a function of setting the display order of the ultrasonic Doppler image data when the ultrasonic Doppler image data of a plurality of frames is classified into a plurality of groups and displayed in parallel. The display order of the ultrasonic Doppler image data can be automatically set based on an arbitrary parameter related to the ultrasonic Doppler image data of a plurality of frames. In other words, the image classification unit 14 transfers at least a part of the plurality of frames of ultrasonic Doppler image data within at least one group of the plurality of groups based on parameters related to the plurality of frames of ultrasonic Doppler image data. It has a function of generating information for arranging. As a specific example, ultrasonic Doppler image data of a plurality of frames can be arranged in the order of parameter values such as the maximum blood flow velocity value and maximum dispersion value.

  The parameters related to the ultrasonic Doppler image data are not limited to the display order for displaying the ultrasonic Doppler image data in parallel, but can also be used for grouping the ultrasonic Doppler image data. That is, based on the parameters related to the ultrasonic Doppler image data of a plurality of frames in addition to the spatial position of the ROI marker attached to the ultrasonic Doppler image data as the position information to be received by the ultrasonic Doppler signal, Information for classifying the sonic Doppler image data into a plurality of groups can be generated.

  Specific examples of parameters related to ultrasonic Doppler image data include the velocity of each blood flow corresponding to multiple frames of ultrasonic Doppler image data, and each sampling of ultrasonic Doppler signals corresponding to multiple frames of ultrasonic Doppler image data. Examples include time values and index values representing the characteristics of each waveform corresponding to a plurality of frames of ultrasonic Doppler image data. Accordingly, at least one of index values representing the characteristics of each waveform corresponding to the velocity of blood flow, the sampling time of the ultrasonic Doppler signal, and the ultrasonic Doppler image data is used in at least one group. Information for arranging can be generated. Also, a plurality of groups of ultrasonic Doppler image data of a plurality of frames are obtained using at least one of index values representing the characteristics of each waveform corresponding to the velocity of blood flow, the sampling time of the ultrasonic Doppler signal, and the ultrasonic Doppler image data. Information for classifying can be generated.

  As the blood flow velocity, a representative value of the flow velocity such as a maximum blood flow velocity or an average flow velocity can be used as a parameter. Specific examples of index values representing the characteristics of the waveform corresponding to the ultrasonic Doppler image data include the ratio between the maximum and minimum values of the waveform, the pulse interval, and the delay time from the trigger in the case of synchronous imaging. . Examples of the synchronization signal for synchronous imaging include biological signals having periodicity such as an electrocardiogram (ECG) signal, a pulse wave (PPG) signal, a heart sound signal, or a respiratory signal.

  In particular, when the direction of the ROI marker is also attached to the ultrasonic Doppler image data as accompanying information, the direction of blood flow can be obtained based on the direction of the ROI marker. For this reason, information for classifying a plurality of frames of ultrasonic Doppler image data into a plurality of groups based on the direction of blood flow can also be generated.

  The display processing unit 15 has a function of performing necessary display processing on the B-mode image data and the ultrasonic Doppler image data acquired from the image data generation unit 10 or the image data storage unit 13 and displaying them on the display device 5. Examples of display processing include filter processing for determining image quality, scan conversion for converting an image signal in a scanning line format into an image signal in a video format, and a synthesis processing of color Doppler image data and B-mode image data.

  In addition, when displaying multiple frames of ultrasonic Doppler image data on the display device 5 in parallel, the display processing unit 15 executes display processing for determining the display position of the multiple frames of ultrasonic Doppler image data. That is, according to the classification information for classifying the plurality of frames of ultrasonic Doppler image data generated by the image classification unit 14 into a plurality of groups and the information for arranging the ultrasonic Doppler image data in the group, the plurality of frames of ultrasonic Doppler image data. The display position of the image data is determined.

  As described above, components such as the ultrasound probe 3, the transmission / reception unit 7, the scan control unit 9, and the image data generation unit 10 cooperate to provide the ultrasound diagnostic apparatus 1 with B-mode image data and ultrasound. A function as scanning means for collecting ultrasonic image data such as Doppler image data is provided. In particular, the ultrasound diagnostic apparatus 1 receives ultrasound Doppler signals at a plurality of positions in different spaces, and a plurality of frames of ultrasound Doppler image data corresponding to the plurality of positions based on the received ultrasound Doppler signals. Is provided with a function as a scanning means for generating.

  The ultrasonic diagnostic apparatus 1 also has a function as an examination position acquisition unit that acquires a plurality of positions that are reception targets of an ultrasonic Doppler signal as position information, and adds position information to a plurality of frames of ultrasonic Doppler image data. And a function as an image classification means for generating information for classifying a plurality of frames of ultrasonic Doppler image data into a plurality of groups based on at least a function as a storage means for storing and a position information stored in the storage unit. Provided. The function as the inspection position acquisition means can be realized by the cooperation of the sensor 6, the probe position specifying unit 11, and the inspection position adding unit 12. The function as the storage means can be realized by the image data storage unit 13. Further, the function as the image classification means can be realized by the image classification unit 14.

  However, the ultrasonic diagnostic apparatus 1 can be configured by other components as long as the functions as a scanning unit, an inspection position acquisition unit, a storage unit, and an image classification unit having similar functions are provided. For example, the sensor 6 may be connected to a general-purpose product without being a component of the ultrasonic diagnostic apparatus 1.

  An independent medical image processing apparatus having the same function as the medical image processing apparatus 8 may be connected to the ultrasonic diagnostic apparatus 1 via a network. When the medical image processing apparatus is connected to the ultrasonic diagnostic apparatus 1, it corresponds to a plurality of positions generated based on ultrasonic Doppler signals received from the same subject at a plurality of positions in different spaces. The medical image processing apparatus is provided with a function as image acquisition means for acquiring ultrasonic Doppler image data of a plurality of frames. Further, without using the sensor 6 as a constituent element, an output signal from the sensor 6 is acquired and the spatial position of the ultrasonic probe 3 is specified, and the spatial position of the ultrasonic probe 3 and the ROI marker on the image The medical image processing apparatus can be provided with a function as an examination position acquisition means by an examination position adding unit that obtains the spatial position of the ROI marker from the position.

  The medical image processing apparatus 8 incorporated in the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus externally connected to the ultrasonic diagnostic apparatus 1 can be constructed by causing a computer to read a medical image processing program. However, a circuit may be used to configure the medical image processing apparatus 8 incorporated in the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus externally connected to the ultrasonic diagnostic apparatus 1. A medical image processing program that causes a computer to function as an image acquisition unit, an examination position acquisition unit, a storage unit, and an image classification unit can be distributed as a program product.

  Next, operations and actions of the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8 will be described.

  FIG. 2 is a flowchart showing an example of the operation of the ultrasonic diagnostic apparatus 1 shown in FIG.

  First, in step S1, a B-mode scan of the subject is executed. Specifically, under the control of the scan control unit 9, drive pulses with a predetermined delay time are sequentially applied as transmission signals to the plurality of ultrasonic transducers provided in the ultrasonic probe 3 from the transmission / reception unit 7. Thereby, the ultrasonic beam is sequentially transmitted from the ultrasonic probe 3 toward the scanning region inside the subject.

  Then, the ultrasonic reflected waves generated by the transmission ultrasonic waves reflected at the respective scanning positions in the subject are sequentially received by the respective ultrasonic transducers. The received ultrasonic reflected wave is converted into a reception signal of an electric signal by each ultrasonic transducer. Subsequently, the transmission / reception unit 7 executes necessary signal processing such as phasing addition processing on the ultrasonic reception signals output from the ultrasonic transducers. As a result, an ultrasonic reception signal corresponding to each scanning position is generated. The generated ultrasonic reception signals are sequentially output to the image data generation unit 10.

  In the image data generation unit 10, B mode processing for the ultrasonic reception signal is executed. As a result, B-mode image data depicting the form of the subject is generated. The generated B-mode image data is output to the display processing unit 15. Then, the B-mode image data that has undergone the necessary display processing in the display processing unit 15 is output to the display device 5. Thereby, the form of the subject is depicted on the display device 5 as a B-mode image.

  Then, in step S2, the user can set the imaging conditions and scanning conditions for ultrasonic Doppler scanning including the position of the ROI marker using the B-mode image as a guide. When imaging conditions and scanning conditions for ultrasonic Doppler scanning are set, it is possible to start ultrasonic Doppler scanning with the spatial position of the ROI marker as the scanning position. Here, it is assumed that an ultrasonic Doppler scan by the pulse Doppler method is executed.

  For this reason, in step S3, an ultrasonic Doppler scan by the pulse Doppler method is executed. At this time, the 3D position of the ultrasonic probe 3 is detected by the sensor 6. In the observation by the pulse Doppler method, the inspection result changes depending on the observation position and the observation direction. For this reason, the position of the ultrasonic probe 3 can be changed, and the ultrasonic Doppler scan can be executed from different positions and directions with respect to the same observation position.

  Furthermore, when there are a plurality of observation locations, the ultrasonic Doppler scan is executed once or a plurality of times for each observation location. Therefore, every time the ultrasonic Doppler scan is executed by changing the position of the ultrasonic probe 3, the 3D position of the ultrasonic probe 3 is detected by the sensor 6. Conversely, even when the 3D position of the ultrasonic probe 3 can be regarded as the same, the ultrasonic Doppler scan may be executed a plurality of times for different ROI markers. In that case, every time the ultrasonic Doppler scan is executed, the 3D position of the ultrasonic probe 3 corresponding to the ROI marker is detected by the sensor 6.

  In the case of ultrasonic Doppler scanning by the pulse Doppler method, ultrasonic waves are intermittently transmitted as pulse waves from the ultrasonic probe 3 toward the scanning point. The ultrasonic probe 3 receives an ultrasonic Doppler signal as a pulse wave from the scanning point. Then, the moving image data representing the blood flow velocity at the scanning point as a waveform is generated as the ultrasonic Doppler image data by the signal processing in the transmission / reception unit 7 for the ultrasonic Doppler signal and the Doppler processing in the image data generation unit 10.

  The generated ultrasonic Doppler image data can be displayed in real time on the display device 5 through display processing in the display processing unit 15. In addition, ultrasonic Doppler image data may be captured at different positions and orientations with respect to the same observation site. On the contrary, there are cases in which shooting at different positions is performed from the same position. For this reason, the imaged ultrasonic Doppler image data is sequentially stored in the image data storage unit 13.

  On the other hand, in step S4, the probe position specifying unit 11 receives the position detection signal of the ultrasonic probe 3 output from the sensor 6, and thereby the 3D coordinates of the ultrasonic probe 3 as a spatial sampling position of the ultrasonic Doppler signal. Is identified.

  Next, in step S5, the inspection position adding unit 12 obtains the spatial position of the ROI marker from the 3D coordinates of the ultrasonic probe 3 and the setting position of the ROI marker on the B-mode image.

  Next, in step S6, the inspection position adding unit 12 adds the spatial position of the ROI marker to the corresponding ultrasonic Doppler image data. As a result, the spatial position of the ROI marker is added as supplementary information to each ultrasonic Doppler image data stored in the image data storage unit 13.

  FIG. 3 is a schematic diagram for explaining a method of attaching the spatial position of the ROI marker as scanning position information to ultrasonic Doppler image data of a plurality of frames.

  As shown in FIG. 3, a plurality of ROI markers to be subjected to ultrasonic Doppler scanning can be set using 3D B-mode image data captured by B-mode scanning as a guide. Then, the ultrasonic probe 3 is arranged at the same or different position, and the ultrasonic Doppler scan targeting the ROI marker is sequentially executed by directing the ultrasonic probe 3 to the blood vessel inspection site depicted in the B-mode image. it can. In addition, when there are a plurality of examination parts, a plurality of different ROI markers can be set for each examination part, and the ultrasonic probe 3 can be arranged at the same or different positions to sequentially execute the ultrasonic Doppler scan. .

  On the other hand, 3D coordinates of the ultrasonic probe 3 can be obtained based on an output signal from the sensor 6 attached to the ultrasonic probe 3. In the example shown in FIG. 4, the spatial position of the ultrasonic probe 3 is specified by the x coordinate, the y coordinate, and the z coordinate. When the 3D coordinates of the ultrasonic probe 3 are obtained, 3D coordinates representing the spatial position of the ROI marker are calculated from the 3D coordinates on the B-mode image of the ROI marker and the 3D coordinates of the ultrasonic probe 3. The calculated 3D coordinates representing the spatial position of the ROI marker can be attached to the corresponding ultrasonic Doppler image data as additional information.

  Then, when the ultrasonic Doppler scan of all the examination sites is completed, it becomes possible to browse the ultrasonic Doppler image data stored in the image data storage unit 13.

  In that case, in step S7, ultrasonic Doppler image data of a plurality of frames is displayed on the display device 5 in a state of being classified into a plurality of groups. Specifically, the image classification unit 14 creates a plurality of groups for grouping the ultrasonic Doppler image data based on the spatial position information of the ROI marker attached to the ultrasonic Doppler image data. Further, the image classification unit 14 creates information indicating to which group each ultrasonic Doppler image data belongs. Then, the display processing unit 15 causes the display device 5 to output ultrasonic Doppler image data of a plurality of frames in a state of being classified into a plurality of groups created by the image classification unit 14.

  A group for grouping the ultrasonic Doppler image data can be created automatically or with input of necessary instruction information based on 3D coordinates representing the spatial position of the ROI marker in the image classification unit 14.

  FIG. 4 is a flowchart showing an example of a group creation algorithm for grouping ultrasonic Doppler image data.

  The number of groups for grouping ultrasonic Doppler image data can be specified. In particular, in ultrasonic Doppler inspection, the number of inspection locations may be known by the user. In some cases, the inspection location is determined before the inspection. Therefore, the number of groups can be designated as the number of inspection points.

  For this reason, in step S10, the image classification unit 14 determines whether or not the number of groups is designated. If the number of groups is not specified, classification information of ultrasonic Doppler image data is created using an arbitrary clustering method in which the number of clusters is unknown in step S11. On the other hand, if the number of groups is designated, classification information of ultrasonic Doppler image data is created in step S12 using an arbitrary clustering method in which the number of clusters is known.

  First, an example will be described in which classification information of ultrasonic Doppler image data is created by clustering 3D coordinates of the ultrasonic probe 3 with the number of clusters unknown.

  FIG. 5 is a flowchart showing the flow of clustering processing using the shortest distance method.

  With an algorithm based on the shortest distance method, which is an example of a hierarchical method, clustering of 3D coordinates of ROI markers whose number of clusters is unknown can be performed as shown in FIG.

  Specifically, first, in step S20, the 3D coordinate of any one ROI marker not belonging to any cluster is selected as the reference position. Next, in step S21, the 3D distance from the 3D coordinate of the ROI marker selected as the reference position to each 3D coordinate of the other ROI marker not belonging to any cluster is sequentially calculated. Next, in step S22, it is determined whether or not the calculated minimum value of the 3D distance exceeds a threshold value.

  If it is determined that the calculated minimum value of the 3D distance does not exceed the threshold value, in step S23, among the 3D coordinates of other ROI markers not belonging to any cluster, the reference position The 3D coordinates with the smallest 3D distance from the 3D coordinates of the ROI marker selected as are classified into the same cluster as the 3D coordinates of the ROI marker selected as the reference position.

  The 3D coordinates of the other ROI markers that do not belong to any cluster are the same as the 3D coordinates of the ROI marker selected as the reference position until it is determined that the calculated minimum value of the 3D distance exceeds the threshold. Classified into clusters.

  Note that the second and subsequent determinations in step S22 include not only the 3D coordinates of the ROI marker selected as the reference position, but also all the ROI markers classified into the same cluster as the 3D coordinate of the ROI marker selected as the reference position. Threshold processing for 3D distance from each 3D coordinate to each 3D coordinate of another ROI marker not belonging to any cluster may be performed. In that case, the distance between the data necessary for the threshold processing in step S22 is calculated.

  If it is determined in step S22 that the minimum value of the 3D distance has exceeded the threshold value, it is determined in step S24 whether or not there is a 3D coordinate of the ROI marker that does not belong to any cluster.

  If it is determined in step S24 that the 3D coordinates of the ROI marker that does not belong to any cluster exist, in step S20 again, the 3D of any one ROI marker that does not belong to any cluster. The coordinates are selected as a new reference position. A cluster including the 3D coordinates of the ROI marker newly selected as the reference position by the processing from step S21 to step S23 is similarly formed.

  On the other hand, if it is determined in step S24 that there is no 3D coordinate of the ROI marker that does not belong to any cluster, the clustering process is completed.

  By such clustering processing, it is possible to create a cluster composed of 3D coordinates of ROI markers whose intervals are equal to or less than a predetermined distance. A group of ultrasonic Doppler image data corresponding to a cluster of 3D coordinates of the ROI marker can be defined. Furthermore, information indicating to which group each ultrasonic Doppler image data belongs can be created as information corresponding to the belonging information of the 3D coordinates of the ROI marker to the cluster.

  The threshold for the distance between the 3D coordinates of the ROI marker may be a fixed value such as 2 cm empirically, or may be changed according to the examination site. When the threshold value can be changed, the user may be able to set the threshold value as an arbitrary value, or the user may be able to select a preset threshold value associated with the examination site.

  Of course, other known clustering methods can also be used. A plurality of clustering methods may be used in combination. In that case, the user may be able to select a desired single or plural clustering methods from a plurality of clustering methods. Furthermore, the results classified by applying different clustering methods may be presented as candidates, and the user may select the clustering method with reference to the clustering results.

  FIG. 6 is a diagram showing an example of the classification result of the 3D coordinates of the ROI marker by the shortest distance method shown in FIG.

  As illustrated in FIG. 6, clustering can be performed on the 3D coordinates of a plurality of ROI markers specified by the x coordinate, the y coordinate, and the z coordinate so that the distance between the coordinates is equal to or less than a threshold value. In the example shown in FIG. 6, five points are classified into a cluster A composed of two points and a cluster B composed of three points.

  FIG. 7 is a diagram showing an example in which ultrasonic Doppler images are classified and displayed according to the classification result shown in FIG.

  When a plurality of ultrasonic Doppler images are classified and displayed according to the clustering result of the 3D coordinates of the ROI marker shown in FIG. 6, the result is as shown in FIG. That is, ultrasonic Doppler images captured by setting ROI markers at 3D coordinates included in cluster A are classified into group A. On the other hand, ultrasonic Doppler images captured by setting ROI markers at 3D coordinates included in cluster B are classified into group B.

  For this reason, the user can easily grasp which inspection site corresponds to each ultrasonic Doppler image. In the example shown in FIG. 7, a color Doppler image in which blood flow velocity is displayed in color is displayed in parallel on a B-mode image in which a blood vessel form is drawn together with an ultrasonic Doppler image representing a blood flow velocity waveform as a graph. . Further, the measurement position of the blood flow velocity waveform is displayed on the B-mode image. For this reason, the user can easily select an ultrasonic Doppler image useful for diagnosis.

  Next, an example of creating classification information of ultrasonic Doppler image data by clustering the 3D coordinates of the ROI marker with the number of clusters known will be described. Here, an example in which the k-means method is used as a clustering method in which the number of clusters is known will be described.

  FIG. 8 is a flowchart showing the flow of clustering processing using the k-means method.

  First, in step S30, a designated number of clusters are randomly assigned to each 3D coordinate of the ROI marker. Next, in step S31, the center of gravity of each cluster is sequentially calculated. Next, in step S32, the distance between each 3D coordinate of the ROI marker and each center of gravity of the cluster is sequentially calculated. Next, in step S33, each 3D coordinate of the ROI marker is assigned to a cluster having a minimum distance to the center of gravity. Next, in step S34, it is determined whether or not there has been a change in the assignment of the ROI marker to each 3D coordinate cluster.

  If it is determined in step S34 that there has been a change in the allocation of each 3D coordinate of the ROI marker to the cluster, the center of gravity of each cluster is sequentially calculated again in step S31. Then, in step S34, the processing from step S31 to step S33 is repeated until it is determined that there is no change in the allocation of the ROI marker to each 3D coordinate cluster. If it is determined in step S34 that there has been no change in the allocation of each 3D coordinate of the ROI marker to the cluster, the clustering process ends.

  FIG. 9 is a diagram illustrating an example of a 3D coordinate classification result of the ROI marker by the k-means method illustrated in FIG.

  As illustrated in FIG. 9, when clustering by the k-means method is performed on the 3D coordinates of a plurality of ROI markers specified by the x coordinate, the y coordinate, and the z coordinate, a plurality of ROIs are obtained as illustrated in FIG. 9. Marker 3D coordinates can be classified into a specified number of clusters. FIG. 9 shows the clustering result when the number of clusters is three. For this reason, the five points are classified into cluster A composed of two points, cluster B composed of two points, and cluster C composed of one point.

  FIG. 10 is a diagram showing an example in which ultrasonic Doppler images are classified and displayed according to the classification result shown in FIG.

  When a plurality of ultrasonic Doppler images are classified and displayed according to the clustering result of the 3D coordinates of the ROI marker shown in FIG. 9, the result is as shown in FIG. That is, an ultrasonic Doppler image captured with the ROI marker set in the 3D coordinates included in the cluster A is set in the group A, and an ultrasonic Doppler image captured with the ROI marker set in the 3D coordinates included in the cluster B is Ultrasound Doppler images captured by setting ROI markers at the 3D coordinates included in cluster C in group B are classified into group C, respectively.

  For this reason, by designating the number of clusters so as to match the number of inspection locations, a plurality of ultrasonic Doppler images can be classified for each inspection location. The number of clusters may be specified as the number of inspection locations before inspection, or may be specified when viewing an ultrasonic Doppler image after inspection.

  In addition, the number of clusters once designated may be changed. In particular, after performing clustering of 3D coordinates of ROI markers according to an algorithm illustrated in FIG. 5 with the number of clusters unknown, clustering can be performed again by specifying the number of clusters. In this case, the classification display of the ultrasonic Doppler image can be updated following the clustering result. For this reason, it is useful when the result of clustering in which the number of clusters is unknown does not become a desired result.

  In this way, classification information of ultrasonic Doppler image data in step S11 or step S12 of FIG. 4 can be created. Furthermore, the ultrasonic Doppler image data classified into a plurality of groups can be classified into a plurality of subgroups within the group. The classification of the ultrasound Doppler image data into sub-groups can be performed based on desired parameters associated with the ultrasound Doppler image data.

  Therefore, in step S13 of the flowchart shown in FIG. 4, the image classification unit 14 determines whether or not a parameter for classifying the ultrasonic Doppler image data into subgroups is designated. If it is determined that parameters for classifying the ultrasonic Doppler image data into subgroups are specified, classification information for classifying the ultrasonic Doppler image data into subgroups is specified in step S14. It is created based on the parameters.

  Creation of subgroups of ultrasonic Doppler image data based on parameters can also be performed by arbitrary clustering using parameter values. Practical examples of parameters for classifying ultrasonic Doppler image data into subgroups include velocities such as the maximum blood flow velocity and the average flow velocity.

  For example, when blood flow velocity is used as a parameter, ultrasonic Doppler image data can be classified into subgroups by clustering by the shortest distance method in which a difference value of velocity is regarded as a distance. When performing clustering by the shortest distance method based on the blood flow velocity, a threshold is set for the difference in velocity. In this case, a predetermined ratio with respect to the speed value may be set as the threshold value without setting the threshold value as a fixed value.

  As another example, when blood flow velocity is used as a parameter, ultrasonic Doppler image data is classified into a subgroup in which the blood flow velocity has a positive value and a subgroup in which the blood flow velocity has a negative value. You can also That is, based on the sign of blood flow velocity, the ultrasonic Doppler image data can be classified into two subgroups in which the directions of blood flow are opposite to each other.

  As described above, the ultrasonic Doppler image data can be classified into a plurality of subgroups based on the direction of the blood flow velocity and the difference in velocity. When clustering is performed based on the 3D coordinates of the ROI marker, desired parameters such as blood flow velocity may be used in addition to the 3D coordinates of the ROI marker. That is, the clustering for classification in step S14 in FIG. 4 and the clustering in step S11 or step S12 can be performed as a single process.

  FIG. 11 is a diagram showing an example in which ultrasonic Doppler images are classified and displayed based on the blood flow velocity.

  As shown in FIG. 11A, ultrasonic Doppler images classified into a plurality of groups based on the 3D coordinates of the ROI marker are shown in each group based on the blood flow velocity as shown in FIG. Further, it can be classified into subgroups.

  In the example shown in FIG. 11A, the ultrasonic Doppler images of 5 frames are classified into three groups A, B, and C based on the 3D coordinates of the ROI marker. However, the directions of the maximum blood flow velocity shown as the two-frame ultrasonic Doppler image belonging to the group A are opposite to each other. For this reason, as shown in FIG. 11B, two frames of ultrasonic Doppler images belonging to group A are converted into one frame of ultrasonic Doppler images belonging to subgroup A1 and one frame of subframe A2. It is classified as an ultrasonic Doppler image.

  On the other hand, the directions of the maximum blood flow velocities shown as two frames of ultrasonic Doppler images belonging to the group B are the same. Therefore, as shown in FIG. 11B, no subgroup is created in group B. Further, only one frame of ultrasonic Doppler images belongs to the group C. Therefore, no subgroup is created for group C as shown in FIG.

  If the ultrasonic Doppler images are classified based on parameters such as the blood flow velocity as illustrated in FIG. 11, the ultrasonic Doppler images may be classified into a more appropriate group. For example, when two different blood vessels are observed with the ROI marker set close to each other, if ultrasonic Doppler images are classified based only on the 3D coordinates of the ROI marker, a plurality of ultrasonic Doppler images corresponding to different blood vessels May fall into the same group. On the other hand, if ultrasonic Doppler images are classified using appropriate parameters such as blood flow velocity, it is possible to classify ultrasonic Doppler images that are difficult to distinguish only by referring to the 3D coordinates of the ROI marker. .

  Parameters such as blood flow velocity can also be used to set the display order of a plurality of ultrasonic Doppler images classified into groups and subgroups. That is, based on desired parameters related to the ultrasonic Doppler image data, it is possible to rearrange the ultrasonic Doppler images of a plurality of frames to be displayed in parallel.

  Therefore, in step S15 in FIG. 4, the image classification unit 14 determines whether a parameter for rearranging the display order of the ultrasonic Doppler image data is designated. If it is determined that a parameter for rearranging the display order of the ultrasonic Doppler image data is specified, the display order of the ultrasonic Doppler image data based on the specified parameter is determined in Step S16. Rearrangement processing is executed by the image classification unit 14. That is, the ultrasonic Doppler image data of a plurality of frames that are in the initial display order such as the order of shooting time in each group are rearranged in the designated parameter order.

  Practical examples of parameters for setting the display order of ultrasonic Doppler image data include the maximum velocity and average velocity of blood flow.

  FIG. 12 is a diagram showing an example in which ultrasonic Doppler images are arranged and displayed in order of the maximum blood flow velocity.

  As shown in FIG. 12A, a plurality of ultrasonic Doppler images classified into two groups A and B are rearranged in the order of the maximum blood flow velocity in each group as shown in FIG. 12B. be able to. In the example shown in FIG. 12, the blood flow velocity value is displayed in the vicinity of the corresponding ultrasonic Doppler image.

  Specifically, in FIG. 12A, the maximum values of blood flow velocity displayed as two-frame ultrasonic Doppler images belonging to group A are 45 [cm / s] and 47 [cm / s]. Yes, two frames of ultrasonic Doppler images belonging to group A are displayed in the order of the maximum blood flow velocity. For this reason, even if two frames of ultrasonic Doppler images belonging to group A are arranged in the order of the maximum blood flow velocity, as shown in FIG. 12 (B), two frames of ultrasonic Doppler images belonging to group A The display order does not change.

  On the other hand, in FIG. 12A, the maximum values of the blood flow velocity displayed as the three-frame ultrasonic Doppler image belonging to group B are 47 [cm / s], 40 [cm / s], and 43, respectively. The ultrasonic Doppler images of 3 frames belonging to [cm / s] and belonging to group B are not displayed in order of the maximum blood flow velocity. For this reason, the three-frame ultrasonic Doppler images belonging to the group B are rearranged in the order of the maximum blood flow velocity as shown in FIG.

  It can be considered that an ultrasonic Doppler image having a larger absolute value of the maximum blood flow velocity is an ultrasonic Doppler image captured at an appropriate observation angle. For this reason, as illustrated in FIG. 12, if the ultrasonic Doppler images of a plurality of frames are arranged in the order of increasing absolute value of the maximum blood flow velocity in each group, the ultrasonic Doppler images captured at an appropriate imaging angle. Can be easily selected.

  Similarly, ultrasonic Doppler image data can be rearranged in the order of arbitrary parameters preset by the user according to the purpose of diagnosis. Thereby, a plurality of ultrasonic Doppler images can be displayed in parallel in an appropriate order. That is, it is possible to easily select an ultrasonic Doppler image photographed at an appropriate photographing angle.

  When the ultrasonic Doppler image data classification processing and display order rearrangement processing in the image classification unit 14 are completed, the image classification unit 14 sends the classification information and display order of the ultrasonic Doppler image data to the display processing unit 15. Notice.

  Then, in step S17, the ultrasonic Doppler images of a plurality of frames photographed at different positions and angles are classified into a plurality of groups by a necessary display process in the display processing unit 15, and an appropriate display order within each group. Are displayed on the display device 5 in an arranged state. That is, the display processing unit 15 displays the ultrasonic Doppler images of a plurality of frames in parallel on the display device 5 in accordance with the results of the ultrasonic Doppler image data classification processing and display order rearrangement processing in the image classification unit 14.

  The multiple frames of ultrasonic Doppler images displayed on the display device 5 are grouped based on appropriate parameters such as the 3D coordinates of the ROI marker and the direction of blood flow, and are arranged in the order of parameters such as the maximum blood flow velocity. . For this reason, the user can easily select an appropriate ultrasonic Doppler image for each examination region of the subject.

  When the sensor 6 capable of detecting both the position and orientation of the ultrasonic probe 3 is used, the ROI marker grouping and display order are determined based on the positions and orientations of the ultrasonic probe 3 and the ROI marker. Sorting can be performed. In this case, the direction of blood flow can be determined based on the direction of the ROI marker. For this reason, it is possible to determine that blood is flowing in the same direction if the direction of the ROI marker is reversed even if the velocity direction of the blood flow displayed as an ultrasonic Doppler image is reversed. Conversely, even if the velocity direction of blood flow displayed as an ultrasonic Doppler image is the same, if the direction of the ROI marker is reversed, it can be determined that blood is flowing in the opposite direction.

  That is, in the ultrasonic diagnostic apparatus 1 as described above, a sensor 6 for detecting at least a position is attached to the ultrasonic probe 3, and a plurality of ultrasonic Doppler images photographed by the pulse Doppler method are used as the spatial position and ROI of the ultrasonic probe 3. The classification display is based on the spatial position of the ROI marker obtained from the position of the marker on the image. Similarly, the medical image processing apparatus 8 sets a plurality of ultrasonic Doppler images photographed by the pulse Doppler method to the spatial position of the ROI marker based on at least the detection data from the sensor 6 that detects the position of the ultrasonic probe 3. Based on this, classification and display can be performed.

  For this reason, according to the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8, a plurality of ultrasonic Doppler images captured as moving images by the pulse Doppler method are classified and displayed in groups determined to have the same examination location. Can be made. For this reason, the user can easily confirm whether or not a plurality of ultrasonic Doppler images correspond to the same examination location, and can easily select an appropriate ultrasonic Doppler image.

  For example, a plurality of ultrasonic Doppler images or B-mode images can be simply reduced as thumbnail images, and a plurality of thumbnail images can be displayed in parallel. However, if thumbnail images are not classified into groups, each thumbnail image is enlarged and displayed on a frame-by-frame basis, and a complicated operation of confirming a body mark and an annotation is necessary in order to specify an inspection location.

  On the other hand, according to the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8, a plurality of ultrasonic Doppler images can be displayed in a state classified into a plurality of groups corresponding to examination locations. Therefore, even when a plurality of ultrasonic Doppler images are displayed in parallel as thumbnail images, whether or not each ultrasonic Doppler image corresponds to the same examination location without displaying each ultrasonic Doppler image enlarged. Can be easily grasped. Thereby, the search operation of the image by the user is reduced, and the diagnostic efficiency can be improved.

  FIG. 13 is a diagram illustrating an example of an ultrasonic Doppler image that can be displayed as a group by the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8 illustrated in FIG. 1.

  As shown in FIG. 13A, the distance between the ROI marker positions is determined by a threshold value even in the case of PWD mode images PWD1 and PWD2 taken as ultrasonic Doppler images using different B mode images B1 and B2 as guides. Within the range, the PWD mode images PWD1 and PWD2 corresponding to the same inspection location can be classified into the same group. This is the same even when B-mode images B1 and B2 used as guides spatially intersect and are not on the same plane as shown in FIG. 13B.

  On the contrary, as shown in FIG. 13C, even when two frames of PWD mode images PWD1 and PWD2 are photographed using the common B mode image B1 as a guide, the distance between the ROI marker positions is the threshold value. Can be classified into separate groups as PWD mode images PWD1 and PWD2 corresponding to different inspection locations.

  Therefore, the classification of the ultrasonic Doppler image can be performed independently of the classification of the B-mode image. Also, unlike the case of grouping B-mode images, the scanning positions do not necessarily match in grouping ultrasonic Doppler images.

  Further, according to the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8, the classification of the ultrasonic Doppler images within the group can be detailed by the designated parameters, and the display order of the ultrasonic Doppler images can be determined. For this reason, it is possible to easily recognize an appropriate ultrasonic Doppler image even when the ultrasonic Doppler images are not stored in chronological order or are not stored in the inspection position order.

(Second Embodiment)
FIG. 14 is a diagram for explaining functions of an ultrasonic diagnostic apparatus and a medical image processing apparatus according to the second embodiment of the present invention.

  In the ultrasonic diagnostic apparatus and the medical image processing apparatus according to the second embodiment, the ultrasonic Doppler image data of a plurality of frames to be classified and rearranged is used as ultrasonic Doppler image data captured by CFM scanning. It is different from the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8 in the first embodiment. Other configurations and operations of the ultrasonic diagnostic apparatus and the medical image processing apparatus in the second embodiment are not substantially different from those of the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8 in the first embodiment. Therefore, only a method for generating ultrasonic Doppler image data to be classified and rearranged will be described.

  In the CFM scan, as shown in FIG. 14, a 2D or 3D scanning region including a plurality of scanning points set using a B-mode image as a guide is a scanning target. Then, an ultrasonic Doppler signal is collected as a pulse wave from a scanning region including a plurality of scanning points. For this reason, if a scanning point is designated in the scanning region in the CFM scan by operating the input device 4 or the like, ultrasonic Doppler image data representing blood flow dynamics such as blood flow velocity at the designated scanning point can be generated. it can. That is, when a position is manually designated in the CFM scan, it is possible to set a display mode in which a temporal change in blood flow dynamics such as blood flow velocity, power, and dispersion at the designated position is displayed as a waveform.

  Therefore, when the CFM scan is repeatedly executed by changing the position of at least one of the ultrasonic probe 3 and the ROI marker, the classification and rearrangement of the ultrasonic Doppler image data similar to the first embodiment can be performed. . That is, the sensor for detecting at least the position of the ultrasonic probe 3 is not limited to the imaging by the PWD method that receives the ultrasonic Doppler signal from the designated scanning point and generates the ultrasonic Doppler image data, but also in the imaging by the CFM method. Based on the detection data from 6, the plurality of ultrasonic Doppler images can be classified and rearranged. It is also possible to classify and rearrange a plurality of ultrasonic Doppler images based on desired parameters.

(Third embodiment)
FIG. 15 is a diagram for explaining the functions of an ultrasonic diagnostic apparatus and a medical image processing apparatus according to the third embodiment of the present invention.

  In the ultrasonic diagnostic apparatus and the medical image processing apparatus according to the third embodiment, the ultrasonic Doppler image data of a plurality of frames to be classified and rearranged is used as the ultrasonic Doppler image data captured by the CWD scan. It is different from the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8 in the first embodiment. Other configurations and operations of the ultrasonic diagnostic apparatus and the medical image processing apparatus in the third embodiment are not substantially different from those of the ultrasonic diagnostic apparatus 1 and the medical image processing apparatus 8 in the first embodiment. Therefore, only a method for generating ultrasonic Doppler image data to be classified and rearranged will be described.

  In the CWD scan, as shown in FIG. 15, a linear narrow scanning region set with a B-mode image as a guide is a scanning target. Then, an ultrasonic Doppler signal is collected as a continuous wave from a scanning line crossing the blood vessel. For this reason, if a scanning point is designated in the scanning region in the CWD scan by operating the input device 4 or the like, ultrasonic Doppler image data representing blood flow dynamics such as blood flow velocity at the designated scanning point can be generated. it can. That is, when a position is manually specified in the CWD scan, it is possible to set a display mode in which a temporal change in blood flow dynamics such as blood flow velocity, power, and dispersion at the specified position is displayed as a waveform.

  Therefore, when the CWD scan is repeatedly executed by changing the position of at least one of the ultrasonic probe 3 and the ROI marker, classification and rearrangement of the ultrasonic Doppler image data similar to the first embodiment can be performed. . That is, not only imaging by the PWD method but also imaging by the CWD method, classification and rearrangement of a plurality of ultrasonic Doppler images are performed based on at least detection data from the sensor 6 that detects the position of the ultrasonic probe 3. be able to. It is also possible to classify and rearrange a plurality of ultrasonic Doppler images based on desired parameters.

(Other embodiments)
Although specific embodiments have been described above, the described embodiments are merely examples, and do not limit the scope of the invention. The novel methods and apparatus described herein can be implemented in a variety of other ways. Various omissions, substitutions, and changes can be made in the method and apparatus described herein without departing from the spirit of the invention. The appended claims and their equivalents include such various forms and modifications as are encompassed by the scope and spirit of the invention.

DESCRIPTION OF SYMBOLS 1 Ultrasonic diagnostic apparatus 2 Main body part 3 Ultrasonic probe 4 Input device 5 Display apparatus 6 Sensor 7 Transmission / reception part 8 Medical image processing apparatus 9 Scan control part 10 Image data generation part 11 Probe position specification part 12 Examination position addition part 13 Image data Storage unit 14 Image classification unit 15 Display processing unit

Claims (10)

Scanning means for receiving ultrasonic Doppler signals for a plurality of positions in different spaces, and generating ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals;
Inspection position acquisition means for acquiring the plurality of positions as position information;
Storage means for storing the position information in addition to the plurality of frames of ultrasonic Doppler image data;
Based on at least the position information stored in the storage unit, information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups is generated and related to the plurality of frames of ultrasonic Doppler image data. Image classification means for generating information for arranging at least a part of the ultrasonic Doppler image data of the plurality of frames in at least one of the plurality of groups based on a parameter;
An ultrasonic diagnostic apparatus comprising: Scanning means for receiving ultrasonic Doppler signals for a plurality of positions in different spaces, and generating ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals;
Inspection position acquisition means for acquiring the plurality of positions as position information;
Storage means for storing the position information in addition to the plurality of frames of ultrasonic Doppler image data;
Generate information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on the position information stored in the storage unit and parameters related to the plurality of frames of ultrasonic Doppler image data. Image classification means;
An ultrasonic diagnostic apparatus comprising:   The image classification means includes the parameters, the velocity of each blood flow corresponding to the ultrasonic Doppler image data of the plurality of frames, each sampling time of the ultrasonic Doppler signal corresponding to the ultrasonic Doppler image data of the plurality of frames, and The ultrasonic diagnostic apparatus according to claim 1, wherein at least one of index values representing characteristics of each waveform corresponding to the plurality of frames of ultrasonic Doppler image data is used. For a plurality of positions on different spaces, an ultrasonic Doppler signal is received as a continuous wave from a scanning line by a continuous wave Doppler method, and a plurality of frames corresponding to the plurality of positions are received based on the received ultrasonic Doppler signal. Scanning means for generating ultrasonic Doppler image data;
Inspection position acquisition means for acquiring the plurality of positions as position information;
Storage means for storing the position information in addition to the plurality of frames of ultrasonic Doppler image data;
Image classification means for generating information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on at least the position information stored in the storage means;
An ultrasonic diagnostic apparatus comprising: Scanning means for receiving ultrasonic Doppler signals for a plurality of positions in different spaces, and generating ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals;
Inspection position acquisition means for acquiring the plurality of positions as position information;
Storage means for storing the position information in addition to the plurality of frames of ultrasonic Doppler image data;
Image classification means for generating information for classifying the plurality of frames of ultrasonic Doppler image data into a specified number of groups based on at least the position information stored in the storage means;
An ultrasonic diagnostic apparatus comprising: Scanning means for receiving ultrasonic Doppler signals for a plurality of positions in different spaces, and generating ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions based on the received ultrasonic Doppler signals;
An inspection position acquisition means comprising at least a sensor for detecting the position of the ultrasonic probe, and acquiring the plurality of positions as position information;
Storage means for storing the position information in addition to the plurality of frames of ultrasonic Doppler image data;
Image classification means for generating information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on at least the position information stored in the storage means;
An ultrasonic diagnostic apparatus comprising: The inspection position acquisition means includes a sensor that detects the position and orientation of the ultrasonic probe,
The image classification unit is configured to generate information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on position information obtained as a scan target based on an orientation of the ultrasonic probe. The ultrasonic diagnostic apparatus according to claim 6 . The image classification means is configured to generate information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups based on a blood flow direction obtained based on a direction of the ultrasonic probe. The ultrasonic diagnostic apparatus according to claim 7 . Computer
Image acquisition means for acquiring ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions generated based on an ultrasonic Doppler signal received from the same subject for a plurality of positions in mutually different spaces;
Inspection position acquisition means for acquiring the plurality of positions as position information,
Storage means for appending and storing the position information to the ultrasonic Doppler image data of the plurality of frames, and a plurality of ultrasonic Doppler image data of the plurality of frames based on at least the position information stored in the storage means Generating information for classifying into groups, and based on parameters related to the ultrasonic Doppler image data of the plurality of frames, at least part of the ultrasonic Doppler image data of the plurality of frames Image classification means for generating information to be arranged in at least one group;
Medical image processing program to function as Computer
Image acquisition means for acquiring ultrasonic Doppler image data of a plurality of frames corresponding to the plurality of positions generated based on an ultrasonic Doppler signal received from the same subject for a plurality of positions in mutually different spaces;
Inspection position acquisition means for acquiring the plurality of positions as position information,
Storage means for appending and storing the position information to the ultrasonic Doppler image data of the plurality of frames, and based on the position information stored in the storage means and parameters related to the ultrasonic Doppler image data of the plurality of frames Image classification means for generating information for classifying the plurality of frames of ultrasonic Doppler image data into a plurality of groups;
Medical image processing program to function as

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