Sparsity regularized data-space restoration in optoacoustic tomography

Kun Wang, Richard Su, Alexander A. Oraevsky, Mark A. Anastasio

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


In optoacoustic tomography (OAT), also known as photoacoustic tomography, a variety of analytic reconstruction algorithms, such as filtered backprojection (FBP) algorithms, have been developed. Analytic algorithms are typically computationally more efficient than iterative image reconstruction algorithms but possess disadvantages that include the inabilty to accurately compensate for the response of the measurement system and stochastic noise. While these shortcomings can be circumvented by use of iterative image reconstruction methods, threedimensional (3D) iterative reconstruction is computationally burdensome. In this work, we present a novel datarestoration method that seeks to recover an accurate estimate of the pressure data with reduced noise levels from knowledge of the experimentally acquired transducer output data. From knowledge of the "restored" pressure data, a computationally efficient analytic algorithm can be applied for image reconstruction. Accordingly, this approach combines the advantages of an iterative reconstruction algorithm with the computational efficiency of an analytic algorithm. Curvelet-based data-space restoration is demonstrated by use of computer-simulation studies.

Original languageEnglish (US)
Title of host publicationPhotons Plus Ultrasound
Subtitle of host publicationImaging and Sensing 2012
StatePublished - Apr 9 2012
Externally publishedYes
EventPhotons Plus Ultrasound: Imaging and Sensing 2012 - San Francisco, CA, United States
Duration: Jan 22 2012Jan 24 2012

Publication series

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


ConferencePhotons Plus Ultrasound: Imaging and Sensing 2012
Country/TerritoryUnited States
CitySan Francisco, CA


  • Image reconstruction
  • Optoacoustic tomography
  • Photoacoustic 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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