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Title: Ultrasound waveform tomography with spatial and edge regularization

Abstract

Synthetic-aperture ultrasound tomography systems and methods using scanning arrays and algorithms configured to simultaneously acquire ultrasound transmission and reflection data, and process the data for improved ultrasound tomography imaging, wherein the tomography imaging comprises total-variation regularization, or a modified total variation regularization, particularly with edge-guided or spatially variant regularization.

Inventors:
;
Issue Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1464462
Patent Number(s):
10028728
Application Number:
14/339,738
Assignee:
Los Alamos National Security, LLC (Los Alamos, NM)
Patent Classifications (CPCs):
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
G - PHYSICS G01 - MEASURING G01S - RADIO DIRECTION-FINDING
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Patent
Resource Relation:
Patent File Date: 2014 Jul 24
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; 97 MATHEMATICS AND COMPUTING

Citation Formats

Huang, Lianjie, and Lin, Youzuo. Ultrasound waveform tomography with spatial and edge regularization. United States: N. p., 2018. Web.
Huang, Lianjie, & Lin, Youzuo. Ultrasound waveform tomography with spatial and edge regularization. United States.
Huang, Lianjie, and Lin, Youzuo. Tue . "Ultrasound waveform tomography with spatial and edge regularization". United States. https://www.osti.gov/servlets/purl/1464462.
@article{osti_1464462,
title = {Ultrasound waveform tomography with spatial and edge regularization},
author = {Huang, Lianjie and Lin, Youzuo},
abstractNote = {Synthetic-aperture ultrasound tomography systems and methods using scanning arrays and algorithms configured to simultaneously acquire ultrasound transmission and reflection data, and process the data for improved ultrasound tomography imaging, wherein the tomography imaging comprises total-variation regularization, or a modified total variation regularization, particularly with edge-guided or spatially variant regularization.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {7}
}

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