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US 12,642,510 B2Granted
Ultrasound system with automated wall tracing
AssigneeFujifilm Sonosite, Inc.
InventorChristopher A. White
Life of this patent
Estimating the term…
Abstract
An ultrasound imaging system computes real time physiological parameters from measurements of anatomical features in ultrasound image data using a neural network to identify the location of the anatomical features. In one embodiment, cardiac parameters are computed from endocardial wall tracings in M-mode ultrasound image data that are identified by the neural network.
Claims20
An ultrasound imaging system, comprising:
- a transducer configured to transmit ultrasound signals generated according to a first imaging modality and a second imaging modality which is different from the first imaging modality, to a subject and to receive ultrasound echo signals corresponding to the first imaging modality and the second imaging modality from the subject, the first imaging modality and the second imaging modality being interleaved;
- a processor configured to:
- produce an ultrasound image from the ultrasound echo signals of the first imaging modality;
- produce ultrasound image data from the ultrasound echo signals of the second imaging modality;
- supply the ultrasound image data to a trained neural network as a frame of the ultrasound image is created;
- and
- identify, by the trained neural network and based on the ultrasound image data, one or more physical features in the ultrasound image;
- and
- a display configured to simultaneously display one or more physiological parameters and the ultrasound image;
- wherein the ultrasound image data from the echo signals of the second imaging modality is not shown on the display.
7 more elements
A method of operating a processor in an ultrasound imaging system, the method comprising:
- producing an ultrasound image from ultrasound image data received ultrasound echo signals of a first imaging modality;
- producing ultrasound image data from received ultrasound echo signals of a second imaging modality which is different from the first imaging modality:
- wherein the received ultrasound echo signals of the first imaging modality and the received ultrasound echo signals of the second imaging modality are interleaved;
- supplying the ultrasound image data to a trained neural network as a frame of the ultrasound image is created;
- identifying, by the trained neural network, one or more physical features in the ultrasound image data;
- and
- computing one or more physiological parameters of a subject based on the one or more physical features;
- and
- displaying the one or more physiological parameters and the ultrasound image simultaneously;
- wherein the ultrasound image data from the echo signals of the second imaging modality is not shown on the display.
7 more elements
Dependencies are inferred from the claim text.