Modelling the physics in the iterative reconstruction for transmission computed tomography

Johan Nuyts, Bruno De Man, Jeffrey A. Fessler, Wojciech Zbijewski, Freek J. Beekman

Research output: Contribution to journalReview articlepeer-review

Abstract

There is an increasing interest in iterative reconstruction (IR) as a key tool to improve quality and increase applicability of x-ray CT imaging. IR has the ability to significantly reduce patient dose; it provides the flexibility to reconstruct images from arbitrary x-ray system geometries and allows one to include detailed models of photon transport and detection physics to accurately correct for a wide variety of image degrading effects. This paper reviews discretization issues and modelling of finite spatial resolution, Compton scatter in the scanned object, data noise and the energy spectrum. The widespread implementation of IR with a highly accurate model-based correction, however, still requires significant effort. In addition, new hardware will provide new opportunities and challenges to improve CT with new modelling.

Original languageEnglish (US)
Pages (from-to)R63-R96
JournalPhysics in medicine and biology
Volume58
Issue number12
DOIs
StatePublished - Jun 21 2013

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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