IP Library Granted Patent US 12697100
Granted Patent B2
US 12697100 · App. 18/958,059 · Granted Aug 4, 2026

Ultrasound diagnostic apparatus, ultrasound diagnostic system, ultrasound image generation method, and storage medium

Inventor: Morio Nishigaki (Fujisawa, JP)
Assignee: KONICA MINOLTA, INC.
A61B8/5223
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Quick Facts
Patent No.
US 12697100
App. No.
18/958,059
Granted
Aug 4, 2026
Kind
B2
Abstract

An ultrasound diagnostic apparatus includes a first hardware processor. The first hardware processor is configured to estimate and generate weighted imaging-purpose data with weighting of transmission ultrasound waves emitted by transducers of an ultrasound probe from not-weighted imaging-purpose data obtained without assigning weights to transmission ultrasound waves by using estimation-purpose data for estimating weighted imaging-purpose data from not-weighted imaging-purpose data, the estimation-purpose data being obtained by machine learning of weighted imaging-purpose training data obtained by assigning weights to transmission ultrasound waves and not-weighted imaging-purpose training data obtained without assigning weights to transmission ultrasound waves.

Claims (10)

1 . An ultrasound diagnostic apparatus comprising a first hardware processor configured to

estimate and generate weighted imaging-purpose data with weighting of transmission ultrasound waves emitted by transducers of an ultrasound probe from not-weighted imaging-purpose data obtained without assigning weights to transmission ultrasound waves by using estimation-purpose data for estimating weighted imaging-purpose data from not-weighted imaging-purpose data, the estimation-purpose data being obtained by machine learning of weighted imaging-purpose training data obtained by assigning weights to transmission ultrasound waves and not-weighted imaging-purpose training data obtained without assigning weights to transmission ultrasound waves.

2 . The ultrasound diagnostic apparatus according to claim 1 , wherein the weighted imaging-purpose training data for machine learning is generated by combining multiple pieces of not-weighted imaging-purpose data obtained by changing transmission parameters without assigning weights to transmission ultrasound waves.

3 . The ultrasound diagnostic apparatus according to claim 2 , wherein the transmission parameters include a transmission voltage and a convergence condition.

4 . An ultrasound diagnostic system comprising:

the ultrasound diagnostic apparatus according to claim 1 ; and

an information processing apparatus that includes a second hardware processor configured to generate the estimation-purpose data by performing machine learning of the weighted imaging-purpose training data obtained by assigning weights to transmission ultrasound waves emitted by transducers of an ultrasound probe and the not-weighted imaging-purpose training data obtained without assigning weights to transmission ultrasound waves.

5 . An ultrasound image generation method comprising:

estimating and generating weighted imaging-purpose data with weighting of transmission ultrasound waves emitted by transducers of an ultrasound probe from not-weighted imaging-purpose data obtained without assigning weights to transmission ultrasound waves by using estimation-purpose data for estimating weighted imaging-purpose data from not-weighted imaging-purpose data, the estimation-purpose data being obtained by machine learning of weighted imaging-purpose training data obtained by assigning weights to transmission ultrasound waves and not-weighted imaging-purpose training data obtained without assigning weights to transmission ultrasound waves.

6 . A non-transitory computer-readable storage medium storing a program that causes a computer to function as a first hardware processor that estimates and generates weighted imaging-purpose data with weighting of transmission ultrasound waves emitted by transducers of an ultrasound probe from not-weighted imaging-purpose data obtained without assigning weights to transmission ultrasound waves by using estimation-purpose data for estimating weighted imaging-purpose data from not-weighted imaging-purpose data, the estimation-purpose data being obtained by machine learning of weighted imaging-purpose training data obtained by assigning weights to transmission ultrasound waves and not-weighted imaging-purpose training data obtained without assigning weights to transmission ultrasound waves.