Analysis of a photoacoustic imaging system by singular value decomposition

Michael Roumeliotis, Govind Chaudhary, Mark Anastasio, Robert Stodilka, Andrea Immucci, Eldon Ng, Jeffrey J.L. Carson

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


Photoacoustic imaging is a hybrid imaging modality capable of producing contrast similar to optical imaging techniques but with increased penetration depth and resolution in turbid media by encoding the information as acoustic waves. In general, it is important to characterize system performance by parameters such as sensitivity, resolution, and contrast. However, system characterization can extend beyond these metrics by implementing advanced analysis via singular value decomposition. A method was developed to experimentally measure a matrix that represented the imaging operator for the system. Analysis of the imaging operator was done via singular value decomposition so that the capability of the system to reconstruct objects and the inherent system sensitivity to those objects could be understood. The results provided by singular value decomposition were compared to simulations performed on an ideal system with matching transducer arrangement and defined object space.

Original languageEnglish (US)
Title of host publicationPhotons Plus Ultrasound
Subtitle of host publicationImaging and Sensing 2010
StatePublished - May 3 2010
Externally publishedYes
EventPhotons Plus Ultrasound: Imaging and Sensing 2010 - San Francisco, CA, United States
Duration: Jan 24 2010Jan 26 2010

Publication series

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


ConferencePhotons Plus Ultrasound: Imaging and Sensing 2010
Country/TerritoryUnited States
CitySan Francisco, CA


  • Calibration
  • Characterization
  • Photoacoustic imaging
  • Singular value decomposition

ASJC Scopus subject areas

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


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