A framework for optimizing micro-CT in dual-modality micro-CT/XFCT small-animal imaging system
AffiliationUniv Arizona, Dept Med Imaging
KeywordsX-ray fluorescence computed tomography (XFCT)
computed tomography (CT)
small-animal imaging system
MetadataShow full item record
PublisherSPIE-INT SOC OPTICAL ENGINEERING
CitationSrinivasan 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/10.1117/12.2279351
Rights© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
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AbstractDual-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.
VersionFinal published version
SponsorsNational Institutes of Health (NIH) [R01 EB020658, R01 CA195512, R01 CA199044]