Discrete imaging models for three-dimensional optoacoustic tomography using radially symmetric expansion functions

Kun Wang, Robert W. Schoonover, Richard Su, Alexander Oraevsky, Mark A. Anastasio

Research output: Contribution to journalArticlepeer-review

Abstract

Optoacoustic tomography (OAT), also known as photoacoustic tomography, is an emerging computed biomedical imaging modality that exploits optical contrast and ultrasonic detection principles. Iterative image reconstruction algorithms that are based on discrete imaging models are actively being developed for OAT due to their ability to improve image quality by incorporating accurate models of the imaging physics, instrument response, and measurement noise. In this work, we investigate the use of discrete imaging models based on Kaiser-Bessel window functions for iterative image reconstruction in OAT. A closed-form expression for the pressure produced by a Kaiser-Bessel function is calculated, which facilitates accurate computation of the system matrix. Computer-simulation and experimental studies are employed to demonstrate the potential advantages of Kaiser-Bessel function-based iterative image reconstruction in OAT.

Original languageEnglish (US)
Article number6749001
Pages (from-to)1180-1193
Number of pages14
JournalIEEE Transactions on Medical Imaging
Volume33
Issue number5
DOIs
StatePublished - May 2014
Externally publishedYes

Keywords

  • Iterative image reconstruction
  • optoacoustic tomography (OAT)
  • photoacoustic computed tomography (PACT)
  • thermoacoustic tomography

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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