Utilization of in-depth photon counting detectors towards x-ray spectral imaging: The benefits from the depth information

Yuan Yao, Hans Bornefalk, Scott S. Hsieh, Mats Danielsson, Norbert J. Pelc

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The in-depth photon counting x-ray detector (PCXD) is a multi-layer detector arrangement which has been introduced to tackle photon count rate limitations of current systems. The capability of resolving photon detections along the detector's depth direction enables multiple measurements in a single scan with energy information that could be potentially utilized for x-ray spectral imaging. The benefit of this depth information has not been explored. We conducted a simulation study to evaluate the performance of in-depth PCXDs for dual material decomposition and compared it against single layer detectors. Common semiconductor materials (Si, GaAs and CdTe) were assessed, with imperfect energy response modeled. We demonstrate that depth information is useful if spectral distortion is present. The benefits depend on how the detector is segmented in the depth direction.

Original languageEnglish (US)
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1156-1159
Number of pages4
ISBN (Electronic)9781467319591
DOIs
StatePublished - Jul 29 2014
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: Apr 29 2014May 2 2014

Publication series

Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Other

Other2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/TerritoryChina
CityBeijing
Period4/29/145/2/14

Keywords

  • Cramér-Rao lower bound
  • Depth information
  • Energy response
  • Material decomposition
  • Photon counting

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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