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Joint Reconstruction of Absorbed Optical Energy Density and Sound Speed Distributions in Photoacoustic Computed Tomography: A Numerical Investigation

Huang, Chao and Wang, Kun and Schoonover, Robert W. and Wang, Lihong V. and Anastasio, Mark A. (2016) Joint Reconstruction of Absorbed Optical Energy Density and Sound Speed Distributions in Photoacoustic Computed Tomography: A Numerical Investigation. IEEE Transactions on Computational Imaging, 2 (2). pp. 136-149. ISSN 2333-9403. PMCID PMC5693255. https://resolver.caltech.edu/CaltechAUTHORS:20190227-103531175

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Abstract

Photoacoustic computed tomography (PACT) is a rapidly emerging bioimaging modality that seeks to reconstruct an estimate of the absorbed optical energy density within an object. Conventional PACT image reconstruction methods assume a constant speed-of-sound (SOS), which can result in image artifacts when acoustic aberrations are significant. It has been demonstrated that incorporating knowledge of an object's SOS distribution into a PACT image reconstruction method can improve image quality. However, in many cases, the SOS distribution cannot be accurately and/or conveniently estimated prior to the PACT experiment. Because variations in the SOS distribution induce aberrations in the measured photoacoustic wavefields, certain information regarding an object's SOS distribution is encoded in the PACT measurement data. Based on this observation, a joint reconstruction (JR) problem has been proposed in which the SOS distribution is concurrently estimated along with the sought-after absorbed optical energy density from the photoacoustic measurement data. A broad understanding of the extent to which the JR problem can be accurately and reliably solved has not been reported. In this work, a series of numerical experiments is described that elucidate some important properties of the JR problem that pertain to its practical feasibility. To accomplish this, an optimization-based formulation of the JR problem is developed that yields a nonlinear iterative algorithm that alternatively updates the two image estimates. Heuristic analytic insights into the reconstruction problem are also provided. These results confirm the ill-conditioned nature of the joint reconstruction problem that will present significant challenges for practical applications.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/tci.2016.2523427DOIArticle
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693255PubMed CentralArticle
ORCID:
AuthorORCID
Wang, Lihong V.0000-0001-9783-4383
Anastasio, Mark A.0000-0002-3192-4172
Additional Information:© 2016 IEEE. Manuscript received July 22, 2015; revised November 23, 2015; accepted January 17, 2016. Date of publication January 28, 2016; date of current version May 03, 2016. This work was supported in part by NIH awards CA1744601 and EB01696301. The authors thank Dr. Stephen Norton for insightful discussions regarding the computation of the Fréchet derivative and Dr. Konstantin Maslov for informative discussions pertaining to transducer modeling. The authors also thank Professor Gunther Uhlmann for numerous discussions and guidance regarding the mathematical properties of the JR problem.
Funders:
Funding AgencyGrant Number
NIHCA1744601
NIHEB01696301
Subject Keywords:Photoacoustic computed tomography, optoacoustic tomography, ultrasound tomography, image reconstruction
Issue or Number:2
PubMed Central ID:PMC5693255
Record Number:CaltechAUTHORS:20190227-103531175
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190227-103531175
Official Citation:C. Huang, K. Wang, R. W. Schoonover, L. V. Wang and M. A. Anastasio, "Joint Reconstruction of Absorbed Optical Energy Density and Sound Speed Distributions in Photoacoustic Computed Tomography: A Numerical Investigation," in IEEE Transactions on Computational Imaging, vol. 2, no. 2, pp. 136-149, June 2016. doi: 10.1109/TCI.2016.2523427
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93297
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Feb 2019 18:44
Last Modified:03 Oct 2019 20:52

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