Half-Time Image Reconstruction in Thermoacoustic Tomography

Mark A. Anastasio, Jin Zhang, Xiaochuan Pan, Yu Zou, Geng Ku, Lihong V. Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Thermoacoustic tomography (TAT) is an emerging imaging technique with great potential for a wide range of biomedical imaging applications. In this paper, we propose and investigate reconstruction approaches for TAT that are based on the half-time reflectivity tomography paradigm. We reveal that half-time reconstruction approaches permit for the explicit control of statistically complementary information that can result in the optimal reduction of image variances. We also show that half-time reconstruction approaches can mitigate image artifacts due to heterogeneous acoustic properties of an object. Reconstructed images and numerical results produced from simulated and experimental TAT measurement data are employed to demonstrate these effects.

Original languageEnglish (US)
Pages (from-to)199-210
Number of pages12
JournalIEEE Transactions on Medical Imaging
Volume24
Issue number2
DOIs
StatePublished - Feb 2005
Externally publishedYes

Keywords

  • Image reconstruction
  • photoacoustic tomography
  • reflectivity tomography
  • spherical Radon transform
  • thermoacoustic tomography

ASJC Scopus subject areas

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

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