Delphinus Medical Technologies, Inc.

Steven Schmidt

Olivier Roy

Cuiping Li

Nebojsa Duric

Peter John Littrup

Gursharan Singh Sandhu

Ivana Jovanovic

Erik West

A method and system for analyzing stiffness in a volume of tissue, the method including: emitting acoustic waveforms toward the volume of tissue with an array of ultrasound transmitters; detecting, with an array of ultrasound receivers, a set of acoustic signals derived from acoustic waveforms transmitted through the volume of tissue; generating, from the set of acoustic signals, a sound speed map and an acoustic attenuation map of a region of the volume of tissue, generating a stiffness map derived from combination of a set of sound speed parameter values of the sound speed map and a corresponding set of acoustic attenuation parameter values of the acoustic attenuation map, the stiffness map representing the distribution of the stiffness parameter across the region; and at a display in communication with the computer processor, rendering a stiffness image of the volume of tissue, based upon the stiffness map.

Method for representing tissue stiffness

A method and system for generating an enhanced image of a volume of tissue, the method comprising: emitting acoustic waveforms toward the volume of tissue; detecting a set of acoustic signals derived from acoustic waveforms interacting with the volume of tissue; generating, from the set of acoustic signals, an initial model representing a distribution of an acoustomechanical parameter across a region of the volume of tissue; extracting a set of frequency components, from the set of acoustic signals; generating a first simulated wavefield with a first frequency component of the set of frequency components; generating an updated model of the initial model with the first simulated wavefield; iteratively refining the updated model with a set of simulated wavefields associated with the set of frequency components until a threshold condition is satisfied, thereby producing a final model; and generating the enhanced image from the final model of the volume of tissue.

Ultrasound waveform tomography method and system

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

A method for imaging a volume of tissue in a scan region, including: emitting, from transmitting transducers, acoustic waveforms toward the volume of tissue; detecting, with detecting transducers, a plurality acoustic signals derived from acoustic waveforms interacting with the volume of tissue; generating from the detected acoustic signals a plurality of variable attenuation maps, in which each variable attenuation map corresponds to acoustic signals detected by a respective detecting transducer and includes a plurality of variable attenuation coefficients mapped to the scan region; modifying at least a portion of the detected acoustic signals based on one or more variable attenuation maps; and generating a reflection rendering of the volume of tissue based on the modified acoustic signals.

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Plymouth, MI, United States of America

Steven Schmidt