Delphinus Medical Technologies, Inc.

Erik West

Olivier Roy

Nebojsa Duric

Cuiping Li

Steven Schmidt

Gursharan Singh Sandhu

Culping Li

This application presents a system and related methods that analyze a volume of tissue using ultrasound waveform tomography imaging. By using frequency-domain waveform tomography techniques and a gradient descent algorithm, the system can reconstruct the sound speed distributions of a volume of tissue, such as breast tissue, of varying densities with different types of lesions. By allowing sound speed to have an imaginary component that characterizes sound attenuation, the system can classify the different types of lesions with a fine granularity.

Tissue imaging and analysis using ultrasound waveform tomography

A method and system for imaging a volume of tissue and defining a tissue boundary comprising: receiving a baseline dataset representative of a first set of signals interacting with a medium; receiving a reconstruction dataset representative of a second set of signals interacting with the medium and the volume of tissue present in the medium; determining a set of direct emitter-receiver pairs, each defining a direct trajectory that does not pass through the volume of tissue; from the set of direct emitter-receiver pairs, determining a set of tangential emitter-receiver pairs, each defining a bounding vector comprising a tangent point along the tissue boundary; determining a set of interior pixels, of the reconstruction dataset, characterized by a set of pixel locations within the tissue boundary; and reconstructing pixels of the set of interior pixels, thereby transforming the baseline and the reconstruction datasets into an image rendering of the volume of tissue.

Method and system for imaging a volume of tissue with tissue boundary detection

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Novi, MI, United States of America

Erik West