Accelerated iterative image reconstruction in three-dimensional optoacoustic tomography

Fatima Anis, Kun Wang, Richard Su, Sergey A. Ermilov, Alexander A. Oraevsky, Mark A. Anastasio

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


Iterative image reconstruction algorithms can model complicated imaging physics, compensate for imperfect data acquisition systems, and exploit prior information regarding the object. Hence, they produce higher quality images than do analytical image reconstruction algorithms. However, three-dimensional (3D) iterative image reconstruction is computationally burdensome, which greatly hinders its use with applications requiring a large field-of-view (FOV), such as breast imaging. In this study, an improved GPU-based implementation of a numerical imaging model and its adjoint have been developed for use with general gradient-based iterative image reconstruction algorithms. Both computer simulations and experimental studies are conducted to investigate the efficiency and accuracy of the proposed implementation for optoacoustic tomography (OAT). The results suggest that the proposed implementation is more than five times faster than the previous implementation.

Original languageEnglish (US)
Title of host publicationPhotons Plus Ultrasound
Subtitle of host publicationImaging and Sensing 2015
EditorsAlexander A. Oraevsky, Lihong V. Wang
ISBN (Electronic)9781628414134
StatePublished - 2015
Externally publishedYes
EventPhotons Plus Ultrasound: Imaging and Sensing 2015 - San Francisco, United States
Duration: Feb 8 2015Feb 10 2015

Publication series

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


OtherPhotons Plus Ultrasound: Imaging and Sensing 2015
Country/TerritoryUnited States
CitySan Francisco


  • GPU acceleration
  • Iterative image reconstruction
  • Optoacoustic 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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