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Effects of Different Imaging Models on Least-Squares Image Reconstruction Accuracy in Photoacoustic Tomography

Zhang, Jin and Anastasio, Mark A. and La Rivière, Patrick J. and Wang, Lihong V. (2009) Effects of Different Imaging Models on Least-Squares Image Reconstruction Accuracy in Photoacoustic Tomography. IEEE Transactions on Medical Imaging, 28 (11). pp. 1781-1790. ISSN 0278-0062. https://resolver.caltech.edu/CaltechAUTHORS:20160711-144101280

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Abstract

In the classic formulation of photoacoustic tomography (PAT), two distinct descriptions of the imaging model have been employed for developing reconstruction algorithms. We demonstrate that the numerical and statistical properties of unweighted least-squares reconstruction algorithms associated with each imaging model are generally very different. Specifically, some PAT reconstruction algorithms, including many of the iterative algorithms previously explored, do not work directly with the raw measured pressure wavefields, but rather with an integrated data function that is obtained by temporally integrating the photoacoustic wavefield. The integration modifies the statistical distribution of the data, introducing statistical correlations among samples. This change is highly significant for iterative algorithms, many of which explicitly or implicitly seek to minimize a statistical cost function. In this work, we demonstrate that iterative reconstruction by least-squares minimization yields better resolution-noise tradeoffs when working with the raw pressure data than with the integrated data commonly employed. In addition, we demonstrate that the raw-data based approach is less sensitive to certain deterministic errors, such as dc offset errors.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/TMI.2009.2024082DOIArticle
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5297445PublisherArticle
ORCID:
AuthorORCID
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2009 IEEE. Manuscript received March 02, 2009; revised May 11, 2009. Current version published October 28, 2009. This work was supported in part by the Pritzker Institute of Biomedical Science and Engineering under Seed Grant #4-52681 and in part by the National Science Foundation under CAREER Award 0546113. The work of P. J. La Rivière was supported by an American Cancer Society Research Scholar Grant. The authors would like to thank the anonymous reviewers for insightful reviews and especially Associate Editor J. Fessler, whose healthy skepticism helped us uncover a bug that had led us to an erroneous conclusion in an earlier version of the manuscript. J. Zhang thanks Dr. M. Jin for helpful discussions.
Funders:
Funding AgencyGrant Number
Pritzker Institute of Biomedical Science and Engineering4-52681
NSFCBET-0546113
American Cancer SocietyUNSPECIFIED
Subject Keywords:Iterative image reconstruction, optoacoustic tomography, photoacoustic tomography, thermoacoustic tomography
Issue or Number:11
Record Number:CaltechAUTHORS:20160711-144101280
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160711-144101280
Official Citation:J. Zhang, M. A. Anastasio, P. J. La Riviere and L. V. Wang, "Effects of Different Imaging Models on Least-Squares Image Reconstruction Accuracy in Photoacoustic Tomography," in IEEE Transactions on Medical Imaging, vol. 28, no. 11, pp. 1781-1790, Nov. 2009. doi: 10.1109/TMI.2009.2024082
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:68970
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Jul 2016 18:08
Last Modified:03 Oct 2019 10:17

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