Paper
30 May 2003 Investigation of megavoltage local tomography for detecting setup errors in radiation therapy
Daxin Shi, Mark A. Anastasio, Xiaochuan Pan, Charles A. Pelizzari, Peter Munro
Author Affiliations +
Abstract
We investigate the problem of reconstructing a 3D image of a tumor volume from a set of truncated MV cone-beam projections. Our proposed approach is distinct from previously investigated approaches in that it utilizes a local tomography reconstruction algorithm. Using simulated and experimental MV projection data, we demonstrate that a local cone-beam tomography algorithm can reconstruct accurate images that contain information regarding boundaries and edges inside a localized region of interest. We also demonstrate that the conventional Feldkamp-Davis-Kress cone-beam reconstruction algorithm is not well-suited for reconstructing images of low-contrast structures from truncated cone-beam projections.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daxin Shi, Mark A. Anastasio, Xiaochuan Pan, Charles A. Pelizzari, and Peter Munro "Investigation of megavoltage local tomography for detecting setup errors in radiation therapy", Proc. SPIE 5029, Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display, (30 May 2003); https://doi.org/10.1117/12.480348
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Tomography

Tumors

Radiotherapy

3D image reconstruction

Sensors

Computed tomography

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