CaltechAUTHORS
  A Caltech Library Service

Low-rank matrix estimation-based spatio-temporal image reconstruction for dynamic photoacoustic computed tomography

Wang, Kun and Xia, Jun and Li, Changhui and Wang, Lihong V. and Anastasio, Mark A. (2014) Low-rank matrix estimation-based spatio-temporal image reconstruction for dynamic photoacoustic computed tomography. In: Photons Plus Ultrasound: Imaging and Sensing 2014. Proceedings of SPIE. No.8943. Society of Photo-Optical Instrumentation Engineers , Bellingham, WA, Art. No. 89432I. ISBN 9780819498564. https://resolver.caltech.edu/CaltechAUTHORS:20180912-104942705

[img] PDF - Published Version
See Usage Policy.

278Kb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20180912-104942705

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 spatio-temporal 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 computer-simulated photoacoustic data, the performance of the LRME-STIR method is compared with that of conventional FBFIR method. The results demonstrate that LRME-STIR method is not only computationally more efficient but also produces more accurate dynamic PACT images than a conventional FBFIR method.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.2041850DOIArticle
ORCID:
AuthorORCID
Wang, Lihong V.0000-0001-9783-4383
Anastasio, Mark A.0000-0002-3192-4172
Additional Information:© 2014 Society of Photo-Optical Instrumentation Engineers. This work was supported in part by NIH awards EB016963, EB010049, and CA167446. K. W. would also like to thank Dr. Robert W. Schoonover for useful discussions.
Funders:
Funding AgencyGrant Number
NIHEB016963
NIHEB010049
NIHCA167446
Subject Keywords:photoacoustic computed tomography; optoacoustic tomography; dynamic imaging; low-rank matrix estimation
Series Name:Proceedings of SPIE
Issue or Number:8943
Record Number:CaltechAUTHORS:20180912-104942705
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180912-104942705
Official Citation:Kun Wang, Kun Wang, Jun Xia, Jun Xia, Changhui Li, Changhui Li, Lihong V. Wang, Lihong V. Wang, Mark A. Anastasio, Mark A. Anastasio, } "Low-rank matrix estimation-based spatio-temporal image reconstruction for dynamic photoacoustic computed tomography", Proc. SPIE 8943, Photons Plus Ultrasound: Imaging and Sensing 2014, 89432I (3 March 2014); doi: 10.1117/12.2041850; https://doi.org/10.1117/12.2041850
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:89570
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:12 Sep 2018 18:42
Last Modified:03 Oct 2019 20:17

Repository Staff Only: item control page