Spectral performance of a whole-body research photon counting detector CT: Quantitative accuracy in derived image sets

Shuai Leng, Wei Zhou, Zhicong Yu, Ahmed Halaweish, Bernhard Krauss, Bernhard Schmidt, Lifeng Yu, Steffen Kappler, Cynthia H McCollough

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

Photon-counting computed tomography (PCCT) uses a photon counting detector to count individual photons and allocate them to specific energy bins by comparing photon energy to preset thresholds. This enables simultaneous multi-energy CT with a single source and detector. Phantom studies were performed to assess the spectral performance of a research PCCT scanner by assessing the accuracy of derived images sets. Specifically, we assessed the accuracy of iodine quantification in iodine map images and of CT number accuracy in virtual monoenergetic images (VMI). Vials containing iodine with five known concentrations were scanned on the PCCT scanner after being placed in phantoms representing the attenuation of different size patients. For comparison, the same vials and phantoms were also scanned on 2nd and 3rd generation dual-source, dual-energy scanners. After material decomposition, iodine maps were generated, from which iodine concentration was measured for each vial and phantom size and compared with the known concentration. Additionally, VMIs were generated and CT number accuracy was compared to the reference standard, which was calculated based on known iodine concentration and attenuation coefficients at each keV obtained from the U.S. National Institute of Standards and Technology (NIST). Results showed accurate iodine quantification (root mean square error of 0.5 mgI/cc) and accurate CT number of VMIs (percentage error of 8.9%) using the PCCT scanner. The overall performance of the PCCT scanner, in terms of iodine quantification and VMI CT number accuracy, was comparable to that of EID-based dual-source, dual-energy scanners.

Original languageEnglish (US)
Pages (from-to)7216-7232
Number of pages17
JournalPhysics in Medicine and Biology
Volume62
Issue number17
DOIs
StatePublished - Aug 21 2017

Keywords

  • CT number accuracy
  • iodine quantification
  • multi-energy CT
  • photon-counting detector
  • virtual monoenergetic images

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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