Image reconstruction from reduced-scan data in ultrasonic reflectivity tomography

Xiaochuan Pan, Yu Zou, Mark A. Anastasio, Emil Sidky

Research output: Contribution to journalConference article

Abstract

Reflectivity tomography is an imaging technique that seeks to reconstruct the reflectivity distribution that characterizes a weakly reflecting object. As in other tomographic imaging modalities, in certain applications of reflectivity tomography it may be necessary to reconstruct an accurate image from measurement data that are incomplete, e.g., reduced-scan measurement data. Recently, we have developed a so-called 'potato peeler' perspective for heuristically demonstrating the possibility of reconstructing accurate images from reduced-scan measurement data. In this work we describe a mathematical formulation of the potato peeler perspective, which provides a theoretical justification for the development and application of reduced-scan reconstruction algorithms in reflectivity tomography. Simulation results are presented to corroborate our theoretical assertions.

Original languageEnglish (US)
Pages (from-to)49-55
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5035
DOIs
StatePublished - Sep 12 2003
Externally publishedYes
EventMedical Imaging 2003: Ultrasonic Imaging and Signal Processing - San Diego, CA, United States
Duration: Feb 18 2003Feb 20 2003

Keywords

  • Reduced-scan image reconstruction
  • Reflectivity tomography
  • Ultrasonic imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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