Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published June 2005 | Published
Journal Article Open

Weighted expectation maximization reconstruction algorithms for thermoacoustic tomography


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.

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.

Attached Files

Published - 01435543.pdf


Files (678.2 kB)
Name Size Download all
678.2 kB Preview Download

Additional details

August 19, 2023
October 23, 2023