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15 October 2019 Determination of iodine detectability in different types of multiple-energy images for a photon-counting detector computed tomography system
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Abstract

In addition to low-energy-threshold images (TLIs), photon-counting detector (PCD) computed tomography (CT) can generate virtual monoenergetic images (VMIs) and iodine maps. Our study sought to determine the image type that maximizes iodine detectability. Adult abdominal phantoms with iodine inserts of various concentrations and lesion sizes were scanned on a PCD-CT system. TLIs, VMIs at 50 keV, and iodine maps were generated, and iodine contrast-to-noise ratio (CNR) was measured. A channelized Hotelling observer was used to determine the area under the receiver-operating-characteristic curve (AUC) for iodine detectability. Iodine map CNR (0.57  ±  0.42) was significantly higher (P  <  0.05) than for TLIs (0.46  ±  0.26) and lower (P  <  0.001) than for VMIs at 50 keV (0.74  ±  0.33) for 0.5 mgI/cc and a 35-cm phantom. For the same condition and an 8-mm lesion, iodine detectability from iodine maps (AUC  =  0.95  ±  0.01) was significantly lower (P  <  0.001) than both TLIs (AUC  =  0.99  ±  0.00) and VMIs (AUC  =  0.99  ±  0.01). VMIs at 50 keV had similar detectability to TLIs and both outperformed iodine maps. The lowest detectable iodine concentration was 0.5 mgI/cc for an 8-mm lesion and 1.0 mgI/cc for a 4-mm lesion.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2019/$28.00 © 2019 SPIE
Wei Zhou, Gregory Michalak, Jayse Weaver, Andrea Ferrero, Hao Gong, Kenneth A. Fetterly, Cynthia H. McCollough, and Shuai Leng "Determination of iodine detectability in different types of multiple-energy images for a photon-counting detector computed tomography system," Journal of Medical Imaging 6(4), 043501 (15 October 2019). https://doi.org/10.1117/1.JMI.6.4.043501
Received: 3 January 2019; Accepted: 16 September 2019; Published: 15 October 2019
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