A Caltech Library Service

Weighted expectation maximization reconstruction algorithms for thermoacoustic tomography

Zhang, Jin and Anastasio, Mark A. and Pan, Xiaochuan and Wang, Lihong V. (2005) Weighted expectation maximization reconstruction algorithms for thermoacoustic tomography. IEEE Transactions on Medical Imaging, 24 (6). pp. 817-820. ISSN 0278-0062.

[img] PDF - Published Version
See Usage Policy.


Use this Persistent URL to link to this item:


Thermoacoustic tomography (TAT) is an emerging imaging technique with potential for a wide range of biomedical imaging applications. In this correspondence, we propose an infinite family of weighted expectation maximization (EM) algorithms for reconstruction of images from temporally truncated TAT measurement data. The weighted EM algorithms are equivalent mathematically to the conventional EM algorithm, but are shown to propagate data inconsistencies in different ways. Using simulated and experimental TAT measurement data, we demonstrate that suitable choices of weighted EM algorithms can effectively mitigate image artifacts that are attributable to temporal truncation of the TAT data function.

Item Type:Article
Related URLs:
URLURL TypeDescription
Anastasio, Mark A.0000-0002-3192-4172
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2005 IEEE. Manuscript received September 29, 2004; revised March 23, 2005. The authors would like to thank Dr. G. Ku for his role in acquiring the experimental TAT data sets used in this paper.
Subject Keywords:Image reconstruction, optoacoustic tomography, photoacoustic tomography, thermoacoustic tomography
Issue or Number:6
Record Number:CaltechAUTHORS:20161118-152255423
Persistent URL:
Official Citation:Jin Zhang, M. A. Anastasio, Xiaochuan Pan and L. V. Wang, "Weighted expectation maximization reconstruction algorithms for thermoacoustic tomography," in IEEE Transactions on Medical Imaging, vol. 24, no. 6, pp. 817-820, June 2005. doi: 10.1109/TMI.2005.848372 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:72176
Deposited By: Tony Diaz
Deposited On:18 Nov 2016 23:32
Last Modified:09 Mar 2020 13:18

Repository Staff Only: item control page