A preliminary investigation of local tomography for megavoltage CT imaging

Mark A. Anastasio, Daxin Shi, Xiaochuan Pan, Charles Pelizzari, Peter Munro

Research output: Contribution to journalArticlepeer-review

Abstract

We investigate the problem of reconstructing a two-dimensional (2-D) cross-sectional image of a tumor volume from a set of truncated MV projections that are produced by radiation therapy treatment beams. Our proposed approach is conceptually distinct from previously investigated approaches in that it utilizes a noniterative local tomography reconstruction algorithm. A local tomography reconstruction algorithm is implemented and systematically investigated using several sets of simulated and experimental MV projection data. We demonstrate that the conventional (nonlocal) filtered backprojection reconstruction algorithm cannot, in general, accurately reconstruct the edges and boundaries of low-contrast features from truncated MV projection data. We demonstrate that the local tomography algorithm is not adversely affected by projection truncation and can reconstruct accurately the boundaries of low-contrast structures within the region of interest from truncated MV projections.

Original languageEnglish (US)
Pages (from-to)2969-2980
Number of pages12
JournalMedical Physics
Volume30
Issue number11
DOIs
StatePublished - Nov 2003
Externally publishedYes

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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