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

Kun Wang, Jun Xia, Changhui Li, Lihong V. Wang, Mark A. Anastasio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationPhotons Plus Ultrasound
Subtitle of host publicationImaging and Sensing 2014
PublisherSPIE
ISBN (Print)9780819498564
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
EventPhotons Plus Ultrasound: Imaging and Sensing 2014 - San Francisco, CA, United States
Duration: Feb 2 2014Feb 5 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8943
ISSN (Print)1605-7422

Other

OtherPhotons Plus Ultrasound: Imaging and Sensing 2014
Country/TerritoryUnited States
CitySan Francisco, CA
Period2/2/142/5/14

Keywords

  • Dynamic imaging
  • Low-rank matrix estimation
  • Optoacoustic tomography
  • Photoacoustic computed tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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