Apparatus and method
AssigneeCanon Medical Systems Corporation
InventorKousuke Namiki
Life of this patent
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Abstract
An apparatus according to an embodiment includes a processing circuit. The processing circuit is configured to obtain first Doppler waveform data related to a left ventricular blood inflow. The processing circuit is configured to detect positions of an E-wave and an A-wave in the first Doppler waveform data, by using the first Doppler waveform data and a trained model trained with training data that includes at least positions of an E-wave and an A-wave in each of a plurality of pieces of second Doppler waveform data related to left ventricular blood inflows and the plurality of pieces of second Doppler waveform data.
Claims9
An apparatus, comprising:
- processing circuitry configured to
- obtain first ultrasound data related to a left ventricular blood inflow;
- and
- obtain information corresponding to waveforms of Early Wave (E-wave) and Atrium Wave (A-wave) included in the first ultrasound data based on the obtained first ultrasound data and a trained model trained with training data that includes second ultrasound data related to a left ventricular blood inflow and waveforms of an E-wave and an A-wave included in the second ultrasound data,
- wherein the first ultrasound data includes any of noise equal to or higher than a reference value, aliasing, or brightness equal to or lower than a reference value, and the information is obtained from the first ultrasound data by using the trained model.
A method, comprising:
- obtaining first ultrasound data related to a left ventricular blood inflow;
- and
- obtaining information corresponding to waveforms of Early Wave (E-wave) and Atrium Wave (A-wave) included in the first ultrasound data based on the obtained first ultrasound data and a trained model trained with training data that includes second ultrasound data related to a left ventricular blood inflow and waveforms of an E-wave and an A-wave included in the second ultrasound data,
- wherein the first ultrasound data includes any of noise equal to or higher than a reference value, aliasing, or brightness equal to or lower than a reference value, and the information is obtained from the first ultrasound data by using the trained model.
Dependencies are inferred from the claim text.