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Proceedings Paper

A framework for realistic virtual clinical trials in photon counting computed tomography
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Paper Abstract

Although photon counting systems have shown strong clinical potential, this technology has not yet been fully evaluated or optimized for specific clinical applications. The purpose of this study was to develop a framework for realistic virtual clinical trials (VCTs) in photon counting CT (PCCT) imaging. We developed a photon counting CT simulator based on the geometry and physics of an existing research prototype scanner. The developed simulator models primary, scatter, and noise signals, detector responses, vendor-specific bowtie filters and X-ray spectra, axial/helical trajectories, vendor-specific acquisition modes, and multiple energy thresholds per detector pixel. The simulation procedure is accelerated by parallel processing using multiple GPUs. The generated projection images can be reconstructed using generic reconstruction algorithms as well as a commercial reconstruction software (ReconCT Siemens). A computational model of a physical Mercury phantom was imaged at multiple energy thresholds (25 and 75 keV) and dose levels (36, 72, 144, and 216 mAs). Noise magnitude was measured in the simulated images and compared against noise measurements in a real scan acquired with a research prototype photon counting scanner (Siemens Healthcare). The results showed that our simulator was capable of synthesizing realistic photon counting CT data. The simulator can be combined with realistic 4D high-resolution XCAT phantoms with intra-organ heterogeneities to conduct VCTs for specific clinical applications. This framework can greatly facilitate the evaluation, optimization, and eventual clinical use of PCCT.

Paper Details

Date Published: 1 March 2019
PDF: 6 pages
Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109484F (1 March 2019); doi: 10.1117/12.2512898
Show Author Affiliations
Ehsan Abadi, Duke Univ. (United States)
Brian Harrawood, Duke Univ. (United States)
Jayasai Rajagopal, Duke Univ. (United States)
Shobhit Sharma, Duke Univ. (United States)
Anuj Kapadia, Duke Univ. (United States)
Martin Sedlmair, Siemens Healthineers (Germany)
Juan Carlos Ramirez, Siemens Healthineers (Germany)
Karl Stierstorfer, Siemens Healthineers (Germany)
W. Paul Segars, Duke Univ. (United States)
Ehsan Samei, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 10948:
Medical Imaging 2019: Physics of Medical Imaging
Taly Gilat Schmidt; Guang-Hong Chen; Hilde Bosmans, Editor(s)

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