Delphinus Medical Technologies, Inc.

Cuiping Li

Nebojsa Duric

Olivier Roy

Peter John Littrup

Steven Schmidt

Gursharan Singh Sandhu

Mark Sak

Ivana Jovanovic

Erik West

A method of analyzing an image of a volume of tissue to determine a risk of developing breast cancer using a volume averaged sound speed within the volume. A method of determining a response to a treatment plan by determining a volume and a volume averaged sound speed of a region of interest within a volume of breast tissue and generating a combined metric from the volume and the volume averaged sound speed over the plurality of instances of time. A method of analyzing an image of a volume of tissue of a breast by applying a spatial filter to at least one ultrasound tomography image at the computing system and generating a stiffness map from the at least one ultrasound tomography image.

Methods and systems for cancer risk assessment using tissue sound speed and stiffness

A method and system for generating an enhanced image of a volume of tissue, comprising: emitting acoustic waveforms toward the volume of tissue; detecting acoustic signals derived from acoustic waveforms interacting with the volume of tissue; generating a reflection rendering of a region of the volume of tissue; generating at least one of a sound speed map and an attenuation map of the region of the volume of tissue; generating a transfer map derived from a set of sound speed parameter values of the sound speed map and/or a set of acoustic attenuation parameter values of the acoustic attenuation map, the set of sound speed parameter values and the set of acoustic attenuation parameters associated with the set of elements of the region of the volume of tissue; and rendering an enhanced image of the volume of tissue, derived from processing of the reflection rendering with the transfer map.

Method for generating an enhanced image of a volume of tissue

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

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 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

The system of one embodiment for imaging tissue includes ultrasound emitters configured to surround and emit acoustic waveforms toward the tissue, ultrasound receivers configured to surround and receive acoustic waveforms scattered by the tissue, and a processor configured for determining an observed differential time-of-flight (ToF) dataset and generating an acoustic speed rendering of the tissue based on the observed differential ToF dataset. The method of one embodiment for imaging tissue includes receiving data representative of acoustic waveforms scattered by the tissue, determining an observed differential ToF dataset, performing forward modeling to generate a calculated differential ToF dataset based on an acoustic speed model, performing inverse modeling to generate an acoustic speed model based on the observed and calculated differential ToF datasets, iteratively repeating forward modeling and inverse modeling until convergence is met with a final acoustic speed model, and generating an acoustic speed rendering from the final acoustic speed model.

System and method for generating a rendering of a volume of tissue based upon differential time-of-flight data

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.

Growing community of inventors

Novi, MI, United States of America

Cuiping Li