CaltechAUTHORS
  A Caltech Library Service

Fast spatiotemporal image reconstruction based on low-rank matrix estimation for dynamic photoacoustic computed tomography

Wang, Kun and Xia, Jun and Li, Changhui and Wang, Lihong V. and Anastasio, Mark A. (2014) Fast spatiotemporal image reconstruction based on low-rank matrix estimation for dynamic photoacoustic computed tomography. Journal of Biomedical Optics, 19 (5). Art. No. 056007. ISSN 1083-3668. PMCID PMC4046831. http://resolver.caltech.edu/CaltechAUTHORS:20160713-141620234

[img] PDF - Published Version
See Usage Policy.

2445Kb

Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20160713-141620234

Abstract

In order to monitor dynamic physiological events in near-real time, a variety of photoacoustic computed tomography (PACT) systems have been developed that can rapidly acquire data. Previously reported studies of dynamic PACT have employed conventional static methods to reconstruct a temporally ordered sequence of images on a frame-by-frame basis. Frame-by-frame image reconstruction (FBFIR) methods fail to exploit correlations between data frames and are known to be statistically and computationally suboptimal. In this study, a low-rank matrix estimation-based spatiotemporal image reconstruction (LRME-STIR) method is investigated for dynamic PACT applications. The LRME-STIR method is based on the observation that, in many PACT applications, the number of frames is much greater than the rank of the ideal noiseless data matrix. Using both computer-simulated and experimentally measured photoacoustic data, the performance of the LRME-STIR method is compared with that of conventional FBFIR method followed by image-domain filtering. The results demonstrate that the LRME-STIR method is not only computationally more efficient but also produces more accurate dynamic PACT images than a conventional FBFIR method followed by image-domain filtering.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1117/1.JBO.19.5.056007DOIArticle
http://biomedicaloptics.spiedigitallibrary.org/article.aspx?articleid=1871636PublisherArticle
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046831PubMed CentralArticle
ORCID:
AuthorORCID
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2014 SPIE. Paper 130851R received Dec. 3, 2013; revised manuscript received Feb. 20, 2014; accepted for publication Mar. 21, 2014; published online May 9, 2014. This work was supported in part by NIH awards EB016963, EB010049, and CA1744601. K.W. would also like to thank Dr. Robert W. Schoonover for useful discussions.
Funders:
Funding AgencyGrant Number
NIHEB01696301
NIHEB010049
NIHCA1744601
Subject Keywords:photoacoustic computed tomography; optoacoustic tomography; dynamic imaging; low-rank matrix estimation
PubMed Central ID:PMC4046831
Record Number:CaltechAUTHORS:20160713-141620234
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20160713-141620234
Official Citation:Wang K, Xia J, Li C, Wang LV, Anastasio MA; Fast spatiotemporal image reconstruction based on low-rank matrix estimation for dynamic photoacoustic computed tomography. J. Biomed. Opt. 0001;19(5):056007. doi:10.1117/1.JBO.19.5.056007
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:69012
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Jul 2016 17:59
Last Modified:28 Jul 2016 17:59

Repository Staff Only: item control page