Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography

Jin Zhang, Daxin Shi, Mark A. Anastasio, Jussi Sillanpaa, Jenghwa Chang

Research output: Contribution to journalArticlepeer-review

Abstract

We propose and investigate weighted expectation maximization (EM) algorithms for image reconstruction in x-ray tomography. The development of the algorithms is motivated by the respiratory-gated megavoltage tomography problem, in which the acquired asymmetric cone-beam projections are limited in number and unevenly sampled over view angle. In these cases, images reconstructed by use of the conventional EM algorithm can contain ring- and streak-like artefacts that are attributable to a combination of data inconsistencies and truncation of the projection data. By use of computer-simulated and clinical gated fan-beam megavoltage projection data, we demonstrate that the proposed weighted EM algorithms effectively mitigate such image artefacts.

Original languageEnglish (US)
JournalPhysics in medicine and biology
Volume50
Issue number21
DOIs
StatePublished - Nov 7 2005
Externally publishedYes

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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