Determination of iodine detectability in different types of multiple-energy images for a photon-counting detector computed tomography system.

Published on Oct 1, 2019in Journal of medical imaging
· DOI :10.1117/1.JMI.6.4.043501
Wei Zhou13
Estimated H-index: 13
(Mayo Clinic),
Gregory Michalak12
Estimated H-index: 12
(Mayo Clinic)
+ 5 AuthorsShuai Leng53
Estimated H-index: 53
(Mayo Clinic)
Sources
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 P P
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