Share Email Print
cover

Proceedings Paper

Image reconstruction for ultrasound computed tomography by use of the regularized dual averaging method
Author(s): Thomas P. Matthews; Kun Wang; Cuiping Li; Neb Duric; Mark A. Anastasio
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Waveform inversion methods can produce high-resolution reconstructed sound speed images for ultrasound computed tomography; however, they are very computational expensive. Source encoding methods can reduce this computational cost by formulating the image reconstruction problem as a stochastic optimization problem. Here, we solve this optimization problem by the regularized dual averaging method instead of the more commonly used stochastic gradient descent. This new optimization method allows use of non-smooth regularization functions and treats the stochastic data fidelity term in the objective function separately from the deterministic regularization function. This allows noise to be mitigated more effectively. The method further exhibits lower variance in the estimated sound speed distributions across iterations when line search methods are employed.

Paper Details

Date Published: 13 March 2017
PDF: 6 pages
Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 101390P (13 March 2017); doi: 10.1117/12.2254170
Show Author Affiliations
Thomas P. Matthews, Washington Univ. in St. Louis (United States)
Kun Wang, Washington Univ. in St. Louis (United States)
Cuiping Li, Delphinus Medical Technologies, Inc. (United States)
Neb Duric, Delphinus Medical Technologies, Inc. (United States)
Karmanos Cancer Institute, Wayne State Univ. (United States)
Mark A. Anastasio, Washington Univ. in St. Louis (United States)


Published in SPIE Proceedings Vol. 10139:
Medical Imaging 2017: Ultrasonic Imaging and Tomography
Neb Duric; Brecht Heyde, Editor(s)

© SPIE. Terms of Use
Back to Top