A framework for optimizing micro-CT in dual-modality micro-CT/XFCT small-animal imaging system
Affiliation
Univ Arizona, Dept Med ImagingIssue Date
2017Keywords
X-ray fluorescence computed tomography (XFCT)computed tomography (CT)
small-animal imaging system
Metadata
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SPIE-INT SOC OPTICAL ENGINEERINGCitation
Srinivasan Vedantham, Suman Shrestha, Andrew Karellas, Sang Hyun Cho, "A framework for optimizing micro-CT in dual-modality micro-CT/XFCT small-animal imaging system", Proc. SPIE 10393, Radiation Detectors in Medicine, Industry, and National Security XVIII, 103930R (7 September 2017); doi: 10.1117/12.2279351; https://doi.org/10.1117/12.2279351Rights
© 2017 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Dual-modality Computed Tomography (CT)/X-ray Fluorescence Computed Tomography (XFCT) can be a valuable tool for imaging and quantifying the organ and tissue distribution of small concentrations of high atomic number materials in small-animal system. In this work, the framework for optimizing the micro-CT imaging system component of the dual modality system is described, either when the micro-CT images are concurrently acquired with XFCT and using the x-ray spectral conditions for XFCT, or when the micro-CT images are acquired sequentially and independently of XFCT. This framework utilizes the cascaded systems analysis for task-specific determination of the detectability index using numerical observer models at a given radiation dose, where the radiation dose is determined using Monte Carlo simulations.ISSN
0277-786X1996-756X
Version
Final published versionSponsors
National Institutes of Health (NIH) [R01 EB020658, R01 CA195512, R01 CA199044]ae974a485f413a2113503eed53cd6c53
10.1117/12.2279351
