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Count statistics and pileup correction for nonparalyzable photon counting detectors with finite pulse length
KTH, School of Engineering Sciences (SCI), Physics, Physics of Medical Imaging.
KTH, School of Engineering Sciences (SCI), Physics, Physics of Medical Imaging.ORCID iD: 0000-0002-8626-495X
KTH, School of Engineering Sciences (SCI), Physics, Physics of Medical Imaging.ORCID iD: 0000-0002-3039-9791
2018 (English)In: Medical Imaging 2018: Physics Of Medical Imaging / [ed] Lo, JY Schmidt, TG Chen, GH, SPIE - International Society for Optical Engineering, 2018, article id UNSP 105730ZConference paper, Published paper (Refereed)
Abstract [en]

Photon counting detectors are expected to be the next big step in the development of medical computed tomography. Accurate modeling of the behavior of photon counting detectors in the high count rate regime is therefore important for detector performance evaluations and the development of accurate image reconstruction methods. The commonly used ideal nonparalyzable detector model is based on the assumption that photon interactions are converted to pulses with zero extent in time, which is too simplistic to accurately predict the behavior of photon counting detectors in both low and high count rate regimes. In this work we develop a statistical count model for a nonparalyzable detector with finite pulse length and use it to derive the asymptotic mean and variance of the output count distribution using tools from renewal theory. We use the statistical moments of the distribution to construct an estimator of the true number of counts for pileup correction. We con firm the accuracy of the model and evaluate the pileup correction using Monte Carlo simulations. The results show that image quality is preserved for surprisingly high count rates.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2018. article id UNSP 105730Z
Series
Progress in Biomedical Optics and Imaging, ISSN 1605-7422 ; 10573
Keywords [en]
Photon counting, count rate, pileup
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-235155DOI: 10.1117/12.2293095ISI: 000436173700033Scopus ID: 2-s2.0-85049237938ISBN: 978-1-5106-1636-3 OAI: oai:DiVA.org:kth-235155DiVA, id: diva2:1248562
Conference
Medical Imaging 2018: Physics of Medical Imaging, Houston, United States, 12 February 2018 through 15 February 2018
Note

QC 20180917

Available from: 2018-09-17 Created: 2018-09-17 Last updated: 2018-09-17Bibliographically approved

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Grönberg, FredrikSjölin, MartinDanielsson, Mats

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