Ultrasound waveform tomography with wave-energy-based preconditioning
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 using ultrasound waveform tomography with a wave-energy-based preconditioning method for improved ultrasound tomography imaging.
- Inventors:
- Issue Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1568066
- Patent Number(s):
- 10231707
- Application Number:
- 14/339,759
- Assignee:
- Triad 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; MIPR0LDATM0144
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 07/24/2014
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Huang, Lianjie, and Zhang, Zhigang. Ultrasound waveform tomography with wave-energy-based preconditioning. United States: N. p., 2019.
Web.
Huang, Lianjie, & Zhang, Zhigang. Ultrasound waveform tomography with wave-energy-based preconditioning. United States.
Huang, Lianjie, and Zhang, Zhigang. Tue .
"Ultrasound waveform tomography with wave-energy-based preconditioning". United States. https://www.osti.gov/servlets/purl/1568066.
@article{osti_1568066,
title = {Ultrasound waveform tomography with wave-energy-based preconditioning},
author = {Huang, Lianjie and Zhang, Zhigang},
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 using ultrasound waveform tomography with a wave-energy-based preconditioning method for improved ultrasound tomography imaging.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {3}
}
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