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Proceedings Paper

High resolution X-ray fluorescence imaging for a microbeam radiation therapy treatment planning system
Author(s): Pavel Chtcheprov; Christina Inscoe; Laurel Burk; Rachel Ger; Hong Yuan; Jianping Lu; Sha Chang; Otto Zhou
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Paper Abstract

Microbeam radiation therapy (MRT) uses an array of high-dose, narrow (~100 μm) beams separated by a fraction of a millimeter to treat various radio-resistant, deep-seated tumors. MRT has been shown to spare normal tissue up to 1000 Gy of entrance dose while still being highly tumoricidal. Current methods of tumor localization for our MRT treatments require MRI and X-ray imaging with subject motion and image registration that contribute to the measurement error. The purpose of this study is to develop a novel form of imaging to quickly and accurately assist in high resolution target positioning for MRT treatments using X-ray fluorescence (XRF). The key to this method is using the microbeam to both treat and image. High Z contrast media is injected into the phantom or blood pool of the subject prior to imaging. Using a collimated spectrum analyzer, the region of interest is scanned through the MRT beam and the fluorescence signal is recorded for each slice. The signal can be processed to show vascular differences in the tissue and isolate tumor regions. Using the radiation therapy source as the imaging source, repositioning and registration errors are eliminated. A phantom study showed that a spatial resolution of a fraction of microbeam width can be achieved by precision translation of the mouse stage. Preliminary results from an animal study showed accurate iodine profusion, confirmed by CT. The proposed image guidance method, using XRF to locate and ablate tumors, can be used as a fast and accurate MRT treatment planning system.

Paper Details

Date Published: 19 March 2014
PDF: 9 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90334C (19 March 2014); doi: 10.1117/12.2043604
Show Author Affiliations
Pavel Chtcheprov, The Univ. of North Carolina at Chapel Hill (United States)
Christina Inscoe, The Univ. of North Carolina at Chapel Hill (United States)
Laurel Burk, The Univ. of North Carolina at Chapel Hill (United States)
Rachel Ger, The Univ. of North Carolina at Chapel Hill (United States)
Hong Yuan, The Univ. of North Carolina at Chapel Hill (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)
Sha Chang, The Univ. of North Carolina at Chapel Hill (United States)
UNC Lineberger Comprehensive Cancer Ctr. (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)
UNC Lineberger Comprehensive Cancer Ctr. (United States)


Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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