Ultrasound diagnostic apparatus and method for processing received data

Abstract

Remove or reduce periodic noise data from received data. [Solution] The multibandpass filter (MBPF) 32 extracts periodic noise contained in provisionally received data obtained by performing a receiving operation without performing a transmitting operation. Periodic noise generates a spatially spreading periodic noise pattern. The subtractor 36 subtracts the periodic noise extracted by the MBPF 32 from the actual received data obtained by performing a transmitting operation and a receiving operation, thereby generating received data for imaging.

Description

Technical Field

[0001] The present disclosure relates to an ultrasonic diagnostic apparatus and a reception data processing method, and particularly relates to a technique for removing periodic noise included in reception data.

Background Art

[0002] During ultrasonic examination, ultrasonic waves are transmitted to a living body, and reflected waves from within the living body are received. An ultrasonic image is generated based on the received data thus obtained, and the generated ultrasonic image is displayed. In order to improve the quality of the ultrasonic image, it is necessary to reduce the noise included in the received data.

[0003] The ultrasonic diagnostic apparatus disclosed in Patent Document 1 has a plurality of memory cell arrays that function during reception. Each memory cell array performs a cyclic operation. In that ultrasonic diagnostic apparatus, control for dispersing periodic noise on the time axis is executed.

[0004] In the ultrasonic diagnostic apparatus disclosed in Patent Document 2, a cancellation signal is subtracted from the received signal (see FIG. 8). The cancellation signal is a received signal obtained only by the reception operation.

[0005] Non-Patent Document 1 discloses a system for forming an ultrasonic image while transmitting therapeutic ultrasonic waves. A noise signal representing the noise caused by the therapeutic ultrasonic waves is generated, and the noise signal is subtracted from the received signal (see FIG. 4).

[0006] Patent Document 1, Patent Document 2, and Non-Patent Document 1 do not disclose techniques related to the extraction and removal of periodic noise.

Prior Art Documents

Patent Documents

[0007]

Patent Document 1

Patent Document 2

[0008] [Non-Patent Document 1] Ryo Takagi, et al., Investigation of feasibility of noise suppression method for cavitation-enhanced high-intensity focused ultrasound treatment, Ultrasonics 114 (2021). (https: / / doi.org / 10.1016 / j.ultras.2021.106394) [Overview of the project] [Problems that the invention aims to solve]

[0009] In ultrasound diagnostic equipment, as described in Patent Document 1, for example, periodic noise data may be included in the received data for some reason. Periodic noise typically consists of multiple frequency components arranged at equal intervals on the frequency axis. Periodic noise creates multiple noise bands (or stripes) arranged at equal intervals in the beam scanning direction in each tomographic image. In tomographic images as moving images, the periodic noise pattern usually does not move. To improve the image quality of tomographic images, it is desirable to remove periodic noise from the received data. Volume data may also contain periodic noise. To improve the image quality of ultrasound images (e.g., three-dimensional images) based on volume data, it is desirable to remove periodic noise from the volume data, similar to the above.

[0010] The purpose of this disclosure is to remove or reduce periodic noise from received data and improve the image quality of ultrasound images. [Means for solving the problem]

[0011] The ultrasound diagnostic apparatus according to this disclosure is characterized by including: a filter that extracts periodic noise contained in provisionally received data obtained by performing a receiving operation without performing a transmission operation; a subtractor that subtracts the periodic noise extracted by the filter from actual received data obtained by performing the transmission operation and the receiving operation, thereby generating received data for imaging; and a generator that generates an ultrasound image based on the received data for imaging.

[0012] The received data processing method relating to this disclosure is a received data processing method performed in an ultrasound diagnostic apparatus, and is characterized by including the steps of: extracting periodic noise contained in provisional received data obtained by performing a receiving operation without performing a transmission operation; subtracting the extracted periodic noise from actual received data obtained by performing the transmission operation and the receiving operation, thereby generating received data for imaging; and generating an ultrasound image based on the received data for imaging. [Effects of the Invention]

[0013] According to this disclosure, periodic noise can be removed or reduced from received data. This improves the image quality of ultrasound images. [Brief explanation of the drawing]

[0014] [Figure 1] This is a block diagram of an ultrasound diagnostic apparatus according to an embodiment. [Figure 2] This figure shows the ultrasound image before and after noise reduction. [Figure 3] This diagram shows the process for extracting periodic noise. [Figure 4] This figure shows the noise reduction results for Comparative Example 1 and the noise reduction results according to the embodiment. [Figure 5] This diagram shows several conditional changes that trigger an event. [Figure 6] This is a flowchart showing the received data processing method according to the embodiment. [Figure 7] It is a block diagram showing an ultrasonic diagnostic apparatus according to a modification example.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, embodiments will be described based on the drawings.

[0016] (1) Outline of Embodiment The ultrasonic diagnostic apparatus according to the embodiment has a filter, a subtracter, and a generator. The filter extracts periodic noise included in the temporary reception data obtained by performing a reception operation without performing a transmission operation from the temporary reception data. The subtracter subtracts the periodic noise extracted by the filter from the actual reception data obtained by performing a transmission operation and a reception operation, thereby generating reception data for imaging. The generator generates an ultrasonic image based on the reception data for imaging.

[0017] According to the above configuration, it is possible to exclude or reduce the periodic noise included in the actual reception data. Therefore, the image quality of the ultrasonic image can be improved. The above filter is a digital device or an analog device. Periodic noise may be extracted from the temporary reception data (reception channel data) before coherent addition, but preferably, periodic noise is extracted from the temporary reception data after coherent addition. In the embodiment, the temporary reception data and the actual reception data are RF data before envelope detection.

[0018] In the embodiment, the temporary reception data and the actual reception data are respectively frame data obtained from a two-dimensional region in the subject or volume data obtained from a three-dimensional region in the subject. The periodic noise causes a periodic noise pattern in the frame data or the volume data. The above generator is, for example, a digital scan converter (DSC) described later.

[0019] Frame data consists of multiple beam data aligned in the beam scanning direction. In frame data, periodic noise consists of multiple noise bands aligned in the beam scanning direction. Volume data generally consists of multiple frame data aligned in the first beam scanning direction, and each frame data consists of multiple beam data aligned in the second beam scanning direction. In each frame data in volume data, periodic noise consists of multiple noise bands aligned in the second beam scanning direction.

[0020] The ultrasound diagnostic apparatus according to this embodiment includes a memory for storing periodic noise extracted by a filter. The memory is either a frame memory or a volume memory. The subtractor performs subtraction operations according to the frame data acquisition period or the volume data acquisition period. Periodic noise usually occurs fixedly within a two-dimensional or three-dimensional received data space. Therefore, it is possible to remove periodic noise according to the frame data acquisition period or the volume data acquisition period.

[0021] In this embodiment, the periodic noise includes multiple frequency components arranged at equal intervals on the frequency axis. The filter extracts multiple frequency components from the provisionally received data. In this embodiment, the filter includes a multibandpass filter. When a multibandpass filter is used to process the received data on the time axis, high-speed filtering can be expected.

[0022] The ultrasound diagnostic apparatus according to the embodiment further includes a transducer array, an electronic circuit, and a controller. The transducer array is composed of a plurality of transducers. The electronic circuit outputs a plurality of transmission signals to the transducer array and processes a plurality of reception signals output from the transducer array. The controller controls the operation of the electronic circuit.

[0023] The electronic circuit corresponds to the transmitter and receiver sections described later. When acquiring provisional received data, the electronic circuit does not output multiple transmission signals. When acquiring actual received signals, the electronic circuit outputs multiple transmission signals.

[0024] In this embodiment, provisional received data is acquired during the preparation process, and actual received data is acquired during the main process following the preparation process. The controller controls the electronic circuit so that if the transmission and reception conditions are changed during the execution of the main process, the execution of the main process is temporarily stopped and the preparation process is interrupted and executed. With this configuration, periodic noise can be reacquired after the transmission and reception conditions are changed, that is, periodic noise that has changed due to the change in transmission and reception conditions can be identified.

[0025] In this embodiment, the periodic noise has a spatially extended periodic noise pattern within a two-dimensional or three-dimensional received data space. Changes in transmission and reception conditions result in changes to the periodic noise pattern.

[0026] The received data processing method according to this embodiment is performed in an ultrasound diagnostic apparatus. The received data processing method comprises an extraction step, a subtraction step, and a generation step. In the extraction step, periodic noise contained in provisional received data is extracted from provisional received data obtained by performing a receiving operation without performing a transmission operation. In the subtraction step, the extracted periodic noise is subtracted from actual received data obtained by performing a transmission operation and a receiving operation, thereby generating received data for imaging. In the generation step, an ultrasound image is generated based on the received data for imaging.

[0027] The program according to the embodiment causes the ultrasound diagnostic apparatus to execute the above-described received data processing method. The program is installed on the ultrasound diagnostic apparatus via a network or a portable storage medium. A program product containing the program according to the embodiment may be provided. The ultrasound diagnostic apparatus includes a non-temporary storage medium containing the program.

[0028] (2) Details of the embodiment Figure 1 shows an example of the configuration of an ultrasound diagnostic device according to this embodiment. The ultrasound diagnostic device according to this embodiment is a medical device used when performing ultrasound examinations on a patient (living body) in a medical institution such as a hospital.

[0029] An ultrasound diagnostic device consists of a main unit 10 and an ultrasound probe 12. The ultrasound probe 12 has a transducer array consisting of multiple transducers 14. In the illustrated example, the transducer array is a one-dimensional transducer array. A two-dimensional transducer array may be provided instead. An ultrasound beam is formed by the transducer array, and the ultrasound beam is electronically scanned. Known electronic scanning methods include electronic sector scanning and electronic linear scanning.

[0030] The transmitting unit 16 is a transmitting beamformer and has multiple transmitters 20. During transmission, multiple transmission signals output from the multiple transmitters 20 are supplied to the oscillator array. This forms a transmitting beam. During reception, when reflected waves from within the body are delivered to the oscillator array, multiple received signals are output from the oscillator array. The multiple received signals are processed in the receiving unit 18.

[0031] The receiving unit 18 is a receiving beamformer and has a plurality of receiving channel circuits 22. Each receiving channel circuit 22 has a preamplifier 23, an ADC 24, and a delay unit 26. A memory cell array that operates cyclically may be provided as the delay unit 26. Multiple received signals output from the plurality of receiving channel circuits 22 are input to an adder 28. Received beam data is generated by adding the multiple received signals. The plurality of delay units 26 and adder 28 correspond to a phase-correcting adder.

[0032] The transmitting unit 16 and the receiving unit 18 are electronic circuits. These electronic circuits may be provided within the ultrasonic probe 12. A first electronic circuit including a main beamformer may be provided within the main body 10 of the apparatus, and a second electronic circuit including a sub-beamformer may be provided within the ultrasonic probe 12.

[0033] Received frame data consists of multiple received beam data arranged in the beam scanning direction. Received frame data is data acquired from a two-dimensional region within a living organism. Each individual received beam data consists of multiple echo data arranged in the depth direction. These echo data arranged in the depth direction are RF data before envelope detection. When volume data is acquired from a three-dimensional region within a living organism, the volume data is composed, for example, of multiple received frame data arranged in the first beam scanning direction, and each individual received frame data consists of multiple received beam data arranged in the second beam scanning direction.

[0034] In this embodiment, if the received frame data contains periodic noise, the preparation process and the main process are executed sequentially to remove the periodic noise. In the preparation process, received frame data (provisional received frame data) is acquired without forming a transmission beam. This received frame data contains periodic noise. In the main process following the preparation process, received frame data (actual received frame data) is acquired while repeatedly forming a transmission beam. In this process, the acquisition of received frame data is repeated. That is, in this process, a sequence of received frame data is acquired.

[0035] The subtraction unit 30 is a circuit that removes periodic noise contained in individual received frame data. The subtraction unit 30 is composed of a processor. Examples of such processors include FPGAs and DSPs. The subtraction unit 30 may also be composed of analog circuits. In the illustrated configuration example, the subtraction unit 30 includes a multibandpass filter (MBPF) 32, a frame memory (FM) 34, and a subtractor 36.

[0036] The MBPF32 functions during the preparation process. Specifically, the MBPF32 extracts periodic noise from the received frame data acquired during the preparation process. Periodic noise consists of multiple frequency components (multiple noise components) arranged at equal intervals on the frequency axis. The MBPF32 has a passband characteristic that allows multiple frequency components to pass through while suppressing other frequency components. The MBPF32 acts on signals on the time axis. A filter that acts on signals on the frequency axis may also be used. For example, the MBPF32 is an FIR type filter or an IIR type filter.

[0037] FM34 stores periodic noise (periodic noise data) extracted from the received frame data. The periodic noise has a periodic noise pattern consisting of multiple noise bands aligned in the beam scanning direction.

[0038] In the main process following the preparation process, the subtractor 36 subtracts the periodic noise read from the FM 34 from each received frame data input thereto. As a result, the subtractor 36 outputs received frame data from which the periodic noise has been removed or suppressed. The subtractor 36 operates according to the received frame period.

[0039] When removing periodic noise from volume data, the volume data is input to the MBF32 during the preparation process. The MBP32 extracts the periodic noise (periodic noise data) contained in the volume data. The extracted periodic noise is stored in the volume memory, which replaces the frame memory. The subtractor 36 subtracts the periodic noise read from the volume memory from the input volume data according to the volume rate.

[0040] The beam data processor 38 is a circuit that processes each received beam data that constitutes the individual received frame data output from the subtraction unit 30. The beam data processor 38 includes a logarithmic converter, an envelope detector, and the like.

[0041] The received frame data sequence, after beam data processing, is input to the digital scan converter (DSC) 40. The DSC 40 functions as a generator. The DSC 40 has coordinate transformation, pixel interpolation, frame rate conversion, and other functions. The DSC 40 generates a display frame data sequence from the received frame data sequence. The display frame data sequence corresponds to the tomographic image sequence. The display frame data sequence is sent to the display unit 44 via the display processing unit 42.

[0042] The display unit 44 displays a sequence of display frame data as a sequence of tomographic images. The sequence of tomographic images constitutes a moving image. The display unit 44 is composed of, for example, an organic EL display device, an LCD, etc. Note that images corresponding to the received frames acquired during the preparation process are not displayed. In other words, periodic noise patterns are not displayed during the preparation process.

[0043] The control unit 46 corresponds to a controller. The control unit 46 is composed of, for example, a processor. A typical example of a processor is a CPU. The control unit 46 controls the operation of the multiple components shown in Figure 1. The control unit 46 functions as a sequence control unit 48 and a trigger generation unit 50.

[0044] The sequence control unit 48 is a transmit / receive control unit, or in other words, a transmit / receive sequence control unit. When an operating mode for removing periodic noise is selected, the sequence control unit 48 controls the transmit unit 16 and the receive unit 18 so that a preparation process is performed first, followed by the main process. As already explained, in the preparation process, the receive operation is performed without the transmit operation, thereby acquiring received frame data. In the main process, the combination of the transmit operation and the receive operation is repeatedly performed. This acquires a sequence of received frame data.

[0045] The trigger generation unit 50 generates a trigger to reset the transmit / receive sequence and execute the transmit / receive sequence from the beginning. Specifically, the trigger generation unit 50 generates a trigger when several pre-set events (changes in transmit / receive conditions) occur. When a trigger is generated, the sequence control unit 48 stops the currently executing transmit / receive sequence and then performs transmit / receive control so that the preparation process is executed via interrupt.

[0046] An operation panel 54 is connected to the control unit 46. The operation panel 54 has a keyboard, multiple switches, multiple buttons, etc.

[0047] In Figure 2, (A) shows a periodic noise pattern appearing on the tomographic image. The θ direction is the beam scanning direction (electron scanning direction), and the r direction is the depth direction. The periodic noise pattern consists of multiple noise bands arranged at equal intervals in the beam scanning direction. Note that in (A), the periodic noise pattern is exaggerated. In Figure 2, (B) shows the tomographic image after periodic noise reduction. The tomographic image contains speckle noise, but the periodic noise pattern is not visible.

[0048] Figure 3 shows the extraction of periodic noise. (A0) shows the received data on the time axis. The horizontal axis is the time axis, and the vertical axis is the amplitude axis. (B0) shows the received data on the frequency axis. The received data on the frequency axis is obtained by frequency analysis of the received data on the time axis. The horizontal axis is the frequency axis, and the vertical axis is the power axis. The received data on the frequency axis contains multiple pulse-like noise components 60 arranged at equal intervals on the frequency axis.

[0049] (A1) shows the passband characteristics of the MBPF, specifically the passband characteristics on the time axis. However, the passband characteristics are represented schematically. The horizontal axis is the time axis, and the vertical axis is the gain axis. (B1) shows the passband characteristics of the MBPF, specifically the passband characteristics on the frequency axis. However, the passband characteristics are represented schematically. The passband characteristics include multiple peaks 62 for extracting multiple pulse-like noise components 60. Each trough 64 is a portion that exhibits a signal suppression effect.

[0050] (A2) shows the extracted periodic noise on the time axis. The horizontal axis is the time axis, and the vertical axis is the amplitude axis. (B2) shows the extracted periodic noise on the frequency axis. The horizontal axis is the frequency axis, and the vertical axis is the power axis. A threshold of 66 or higher corresponds to periodic noise.

[0051] Comparative Examples 1 and 2 will be explained below. Comparative Example 1 suppresses periodic noise by simply subtracting the first received data from the second received data. This process is expressed as shown in equation (1) below.

number

[0052] Comparative Example 2 suppresses periodic noise by subtracting average received data from a given received data. This process is expressed as shown in equation (2) below.

number

[0053] The process according to this embodiment is expressed as shown in equation (3) below.

number

[0054] Figure 4 shows the noise reduction processing results for the first comparative example and the noise reduction processing results according to the embodiment. (A0) shows the received data on the time axis, and (B0) shows the received data on the frequency axis. These are the same as the received data on the time axis and the received data on the frequency axis shown in Figure 3.

[0055] (A3) shows the received data after noise reduction for Comparative Example 1, specifically the received data on the time axis. (B3) shows the received data of the noise reduction level for Comparative Example 1, specifically the received data on the frequency axis. As indicated by reference numerals 68 and 70, the white noise level has increased.

[0056] (A4) shows the received data after noise reduction according to the embodiment, specifically the received data on the time axis. (B4) shows the received data of the noise reduction degree according to the embodiment, specifically the received data on the frequency axis. As indicated by reference numerals 72 and 74, the white noise level is maintained. According to the noise reduction according to the embodiment, periodic noise can be effectively removed without causing an increase in the white noise level.

[0057] Figure 5 shows several events that trigger interrupt processing. Specifically, several changes in transmit and receive conditions are shown. These are either pre-configured or registered by the user. In the illustrated example, for example, when events such as a change in operating mode 78, a change in beam density 80, or a change in beam scanning range 82 occur, the preparation process is executed via interrupt.

[0058] Figure 6 shows a flowchart illustrating the received data processing method according to an embodiment. In the illustrated example, the first received frame data is acquired during the preparation process, and a sequence of received frame data including the second received frame data is acquired during the subsequent main process.

[0059] In S10, it is determined whether the current frame is the initial frame. That is, it is determined whether or not to perform the preparation process for acquiring the first received frame data. If Yes is determined, S12 to S16, which correspond to the preparation process, are executed. In S12, the operation of the transmitter is disabled, and the display of the tomographic image is disabled. In S14, the first received frame data is acquired by performing a receiving operation without performing a transmitting operation. The first received frame data is input to the filter, and as a result, periodic noise (periodic noise data) is output from the filter. That is, periodic noise is acquired. In S16, the acquired periodic noise is stored in the frame memory.

[0060] In S24, it is determined whether to continue the process. If it is determined to continue the process, in S26, it is determined whether there has been a change in the transmit / receive conditions that would trigger a trigger. If there is no such change, S10 is executed again. If there is such a change, a trigger is generated in S28, and the currently executing transmit / receive sequence is reset. In other words, the currently executing transmit / receive sequence is stopped and executed again from the beginning. This causes the preparation process to be executed as an interrupt.

[0061] In S10, if it is determined that the current frame is the second frame or later, in S18, the transmitter is activated (or the transmitter remains activated), and the display of the tomographic image is activated (or the display of the tomographic image remains activated). In S20, a process is performed to subtract the stored periodic noise from the received frame data. In S22, a tomographic image is generated based on the received frame data after the subtraction process, and that tomographic image is displayed. In S24, if No is determined, this process ends.

[0062] Figure 7 shows an ultrasonic diagnostic device according to a modified example. In Figure 7, elements similar to those shown in Figure 1 are denoted by the same reference numerals, and their descriptions are omitted.

[0063] In the modified example, each receiving channel circuit 22A in the receiving unit 18A has a decimator 25. The decimator 25 performs decimation, or thinning. This process corresponds to frequency conversion. For example, if the thinning rate is 1 / 2, the original frequency is converted to a frequency equivalent to half of it.

[0064] In the receiving unit 18A, when multiple decimators 25 are operating, the frequency characteristics of the MBPF are changed according to the decimation rate. For example, the original frequency characteristics on the frequency axis are reduced to half. Such control is performed by the control unit 46.

[0065] Alternatively, the periodic noise within FM34 may be evaluated by the evaluation unit 52, and the frequency characteristics of MBPF32 may be changed according to the evaluation result. For example, the frequency characteristics of MBPF32 may be adjusted so that the intensity of the periodic noise within FM34 is maximized. By intermittently executing the preparation process, periodic noise may be sampled intermittently, and the control unit 46 may automatically determine whether or not to perform noise reduction processing according to the magnitude of each sampled periodic noise.

[0066] It is also conceivable to pass each received frame data through a comb filter to remove periodic noise in the comb filter. However, in that case, the waveform of the valid signal tends to be stretched backward. According to the method of this embodiment, such a problem does not occur.

[0067] In this embodiment, each process is executed on any computer. Furthermore, any computer may execute these processes using a processor as hardware, a program as software, or a combination thereof. In that case, the processor is configured to work in cooperation with the program to execute the various processes in this embodiment, and can function as a unit or means in this embodiment. Also, the execution order of the processes by the processor is not limited to the order described and may be changed as appropriate. Any computer may be a general-purpose computer, a computer designed for a specific purpose, a workstation, or any other system capable of executing each process.

[0068] A processor may consist of one or more hardware components, and the type of hardware is not limited. For example, a processor may consist of a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a programmable logic device such as an FPGA (Field Programmable Gate Array), a dedicated circuit for executing a specific process such as an ASIC (Application Specific Integrated Circuit), a GPU (Graphic Processing Unit), or an NPU (Neural Processing Unit). Furthermore, the type of hardware may be a combination of different types of hardware. When multiple hardware components are configured to execute one or more processes of a processor, these components may reside in physically separate devices or in the same device. Also, in any embodiment, the order of each process performed by the processor is not limited to the order described above and may be changed as appropriate. Hardware is composed of electrical circuits (circuitry) that combine circuit elements such as semiconductor elements.

[0069] Furthermore, the program may be firmware or software such as microcode. Alternatively, the program may be, for example, a set of program modules, each function of which may be implemented by a processor configured to perform its respective function. The program may be program code or multiple code segments stored on one or more non-temporary computer-readable media (e.g., storage media or other storage). The program may be divided and stored on multiple non-temporary computer-readable media located on physically separate devices. Program code or code segments may represent any combination of procedures, functions, subprograms, routines, subroutines, modules, software packages, classes, or instructions, data structures, or program statements. Program code or code segments may be connected to other code segments or hardware circuits by sending and receiving information, data, arguments, parameters, or memory contents. [Explanation of Symbols]

[0070] 10 Main unit, 12 Ultrasonic probe, 16 Transmitter, 18 Receiver, 30 Subtractor, 32 Multibandpass filter (MBPF), 34 Frame memory (FM), 36 Subtractor, 48 Sequence control unit, 50 Trigger generation unit.

Claims

1. A filter that extracts periodic noise contained in provisionally received data obtained by performing a receiving operation without performing a transmitting operation, A subtractor that subtracts the periodic noise extracted by the filter from the actual received data obtained by performing the transmission and reception operations, thereby generating received data for imaging; A generator that generates an ultrasound image based on the aforementioned received data for imaging, An ultrasound diagnostic device characterized by including [a specific component].

2. In the ultrasound diagnostic apparatus according to claim 1, The provisional received data and the actual received data are, respectively, frame data obtained from a two-dimensional region within the subject or volume data obtained from a three-dimensional region within the subject. The aforementioned periodic noise generates a periodic noise pattern within the frame data or the volume data. An ultrasound diagnostic device characterized by the following features.

3. In the ultrasound diagnostic apparatus according to claim 2, Includes a memory for storing the periodic noise extracted by the filter, The memory is either frame memory or volume memory. The subtractor performs subtraction operations according to the frame data acquisition cycle or the volume data acquisition cycle. An ultrasound diagnostic device characterized by the following features.

4. In the ultrasound diagnostic apparatus according to claim 1, The aforementioned periodic noise includes multiple frequency components arranged at equal intervals on the frequency axis, The filter extracts the plurality of frequency components from the provisionally received data. An ultrasound diagnostic device characterized by including [a specific component].

5. In the ultrasound diagnostic apparatus according to claim 4, The aforementioned filter includes a multibandpass filter, An ultrasound diagnostic device characterized by the following features.

6. In the ultrasound diagnostic apparatus according to claim 1, A vibrator array composed of multiple vibrators, An electronic circuit that outputs multiple transmission signals to the oscillator array and processes multiple reception signals output from the oscillator array, A controller that controls the operation of the aforementioned electronic circuit, Includes, During the preparation process, the provisional reception data is acquired. In the main process following the aforementioned preparation process, the actual received data is acquired. The controller controls the electronic circuit such that, if the transmission / reception conditions are changed during the execution of the process, the execution of the process is temporarily suspended and the preparation process is interrupted and executed. An ultrasound diagnostic device characterized by the following features.

7. In the ultrasound diagnostic apparatus according to claim 6, The aforementioned periodic noise has a spatially extended periodic noise pattern within a two-dimensional or three-dimensional received data space. The aforementioned change in transmission and reception conditions results in a change in the aforementioned periodic noise pattern. An ultrasound diagnostic device characterized by the following features.

8. A method for processing received data performed in an ultrasound diagnostic device, A process of extracting periodic noise contained in provisionally received data obtained by performing a receiving operation without performing a transmitting operation, A step of generating image-receiving data by subtracting the extracted periodic noise from the actual received data obtained by performing the aforementioned transmission and reception operations, A step of generating an ultrasonic image based on the received data for imaging, A method for processing received data, characterized by including the following:

9. A program that causes an ultrasound diagnostic device to execute a method for processing received data, The aforementioned received data processing method is: A process of extracting periodic noise contained in provisionally received data obtained by performing a receiving operation without performing a transmitting operation, A step of generating image-receiving data by subtracting the extracted periodic noise from the actual received data obtained by performing the aforementioned transmission and reception operations, A step of generating an ultrasonic image based on the received data for imaging, A program characterized by including the following.

Images