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Kappler, S.

https://orcid.org/0000-0001-7223-7312

Mayo Clinic

Siemens Healthineers (Germany)

Citations 11

Human Imaging With Photon Counting–Based Computed Tomography at Clinical Dose Levels
Gutjahr, Ralf , Halaweish, Ahmed F., Yu, Zhicong , Yu, Lifeng , Li, Zhoubo , Jorgensen, Steven M., Ritman, Erik L., Kappler, S. , Leng, Shuai , Yu, Lifeng , McCollough, Cynthia H.

Investigative Radiology | January 27, 2016 | Volume: 51 | Issue: 7 | Pages: 421-429

10.1097/rli.0000000000000251 Get It

Objectives The purpose of this work was to measure and compare the iodine contrast-to-noise ratio (CNR) between a commercial energy-integrating detector (EID) computed tomography (CT) system and a photon-counting detector (PCD) CT scanner capable of human imaging at clinical dose rates, as well as to determine clinical feasibility using human cadavers. Materials and Methods A research dual-source PCD-CT scanner was used, where the “A” tube/detector subsystem used an EID and the “B” tube/detector subsystem used a PCD. Iodine CNR was measured in 4 anthropomorphic phantoms, simulating 4 patient sizes, at 4 tube potential settings. After biospecimen committee approval, PCD scans were performed on a fresh-frozen human head and a whole-body cadaver using clinical dose rates. Scans were repeated using the EID and identical parameters, and qualitative side-by-side comparisons were performed. Results For the same photon fluence, phantom measurements demonstrated a mean increase in CNR of 11%, 23%, 31%, 38% for the PCD system, relative to the EID system, at 80, 100, 120, and 140 kV, respectively. Photon-counting detector CT additionally provided energy-selective imaging, where low- and high-energy images reflected the energy dependence of the iodine signal. Photon-counting detector images of cadaveric anatomy demonstrated decreased beam hardening and calcium blooming in the high-energy bin images and increased contrast in the low-energy bins images relative to the EID images. Threshold-based PCD images were qualitatively deemed equivalent in other aspects. Conclusions The evaluated research PCD-CT system was capable of clinical levels of image quality at clinical dose rates. It further provided improved CNR relative to state-of-the-art EID-CT. The energy-selective bin images provide further opportunity for dual-energy and multienergy analyses.