# US 11,076,831 B2 · Ultrasound diagnosis apparatus, signal processing apparatus, and signal processing method

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- Number: US 11,076,831 B2
- Document ID: US11076831B2
- Status: Granted
- Kind: B2
- Application number: 15/443,126
- Filed: 2017-02-27
- Published: 2017-08-31
- Granted: 2021-08-03
- Earliest claimed: 2016-02-29
- Assignees: Canon Medical Systems Corporation
- Applicants: Toshiba Medical Systems Corporation
- Inventors: Satoshi Kawata; Toshiyuki Ono; Toshimitsu Kaneko; Tomoyuki Takeguchi; Ryota Osumi; Tomohisa Imamura
- Web page: https://patentgrep.com/patent/US11076831B2

## CPC

- A61B 8/5207: {involving processing of raw data to produce diagnostic data, e.g. for generating an image}
- A61B 8/06: Measuring blood flow
- A61B 8/485: {involving measuring strain or elastic properties}
- A61B 8/488: {involving Doppler signals}
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)

## Abstract

An ultrasound diagnosis apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains time-series data having complex values based on a reflected wave of an ultrasound wave transmitted by an ultrasound probe and calculates an expansion coefficient in a case in which the obtained time-series data is expressed as a linear sum of a plurality of mathematical functions, the time-series data having, as an argument, a first parameter related to time. The plurality of mathematical functions are mathematical functions that are possible to be generated on a basis of a function family that has, as arguments, the first parameter and a second parameter different from the first parameter.

## Claims

### Claim 1

An ultrasound apparatus comprising:
an ultrasound probe configured to transmit an ultrasound wave to a patient and to receive a reflected wave of the ultrasound wave; and
processing circuitry configured to obtain time-series data having complex values based on the reflected wave of the ultrasound wave transmitted by the ultrasound probe, configured to calculate an expansion coefficient in a case in which the obtained time-series data is expressed as a linear sum of a plurality of mathematical functions, the time-series data having, as an argument, a first parameter related to time, configured to identify a clutter component included in the time-series data, based on the expansion coefficient, and configured to generate an image from a signal component obtained by subtracting the clutter component from the time-series data,
wherein the plurality of mathematical functions are mathematical functions that are generated by implementing an orthogonalization method on a pre-orthogonalization function family that has, as arguments, the first parameter and a second parameter different from the first parameter, and
the reflected wave of the ultrasound wave comprises a wave reflected off either (1) a blood flow in the patient or (2) a moving cardiac wall in the patient.

### Claim 2 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the second parameter is a parameter calculated based on a phase change of a clutter.

### Claim 3 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the plurality of mathematical functions are the mathematical functions having values in complex numbers.

### Claim 4 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the processing circuitry is configured to identify a degree of expansion at which the expansion coefficient switches from decreasing to increasing as the degree of expansion increases and further configured to identify the clutter component based on the identified degree of expansion at which the expansion coefficient switches from decreasing to increasing.

### Claim 5 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the processing circuitry is configured to identify a component corresponding to one or more degrees of expansion equal to or lower than a predetermined degree of expansion as the clutter component.

### Claim 6 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the processing circuitry is configured to generate an ultrasound elastography image based on the identified clutter component.

### Claim 7 (depends on 1)

The ultrasound apparatus according to claim 1, further comprising: input circuitry configured to receive an input of a value of the second parameter from a user, wherein
the processing circuitry is configured to calculate the expansion coefficient based on a result of the input received by the input circuitry.

### Claim 8 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the processing circuitry is configured to calculate a value of the second parameter based on the time-series data and further configured to generate the expansion coefficient based on the calculated value of the second parameter.

### Claim 9 (depends on 8)

The ultrasound apparatus according to claim 8, wherein the processing circuitry is configured to calculate an autocorrelation function from the time-series data and further calculates the value of the second parameter based on the calculated autocorrelation function.

### Claim 10 (depends on 8)

The ultrasound apparatus according to claim 8, wherein the processing circuitry is configured to calculate, from the time-series data, the value of the second parameter based on at least one of an average value of phase differences among some of the time-series data, a median value of phase differences among some of the time-series data and a representative value selected from phase differences among some of the time-series data.

### Claim 11 (depends on 1)

The ultrasound apparatus according to claim 1, wherein, at a limit reached on an assumption that the second parameter is not present, the plurality of mathematical functions include a term corresponding to at least one selected from among: a Legendre polynomial, a Laguerre polynomial, a Chebyshev polynomial, a Heiinite polynomial, a Bessel function, a spherical Bessel function, an associated Legendre polynomial, a spherical haimonic function, a Gegenbauer polynomial, and a Jacobi polynomial.

### Claim 12 (depends on 1)

The ultrasound apparatus according to claim 1, wherein
the pre-orthogonalization function family further has a third parameter as an argument, the third parameter being different from the first parameter and the second parameter,
the second parameter is a parameter expressing a phase change in a first component of a clutter, and
the third parameter is a parameter expressing a phase change in a second component of the clutter.

### Claim 13

An ultrasound wave processing method comprising: using an ultrasound probe to transmit an ultrasound wave to a patient
obtaining, by processing circuitry, time-series data having complex values based on a reflected wave of the ultrasound wave transmitted by the ultrasound probe, the time-series data having, as an argument, a first parameter related to time;
calculating, by the processing circuitry, an expansion coefficient in a case in which the time-series data is expressed as a linear sum of a plurality of mathematical functions, and identifying, by the processing circuitry, a clutter component included in the time-series data, based on the expansion coefficient; and
generating, by the processing circuitry, an image from a signal component obtained by subtracting the clutter component from the time-series data,
wherein the plurality of mathematical functions are mathematical functions that are possible to be generated by implementing an orthogonalization method on a pre-orthogonalization function family that has, as arguments, the first parameter and a second parameter different from the first parameter, and
the reflected wave of the ultrasound wave comprises a wave reflected off either (1) a blood flow in a patient or (2) a moving cardiac wall in the patient.

### Claim 14 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the orthogonalization method comprises a Schmidt-orthogonalization method on the pre-orthogonalization function family.

### Claim 15 (depends on 13)

The signal processing method according to claim 13, wherein the orthogonalization method comprises a Schmidt-orthogonalization method on the pre-orthogonalization function family.

### Claim 16 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the reflected wave of the ultrasound wave is a wave reflected off of a blood flow in the patient.

### Claim 17 (depends on 1)

The ultrasound apparatus according to claim 1, wherein the reflected wave of the ultrasound wave is a wave reflected off of a moving cardiac wall in the patient.
