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A Count Rate-Dependent Method for Spectral Distortion Correction in Photon Counting CT
KTH. German Canc Res Ctr, Div Xray Imaging & CT, Neuenheimer Feld 280, Heidelberg, Germany.;Tech Univ Darmstadt, Karolinenpl 4, Darmstadt, Germany..
German Canc Res Ctr, Div Xray Imaging & CT, Neuenheimer Feld 280, Heidelberg, Germany.;Ruprecht Karls Univ Heidelberg, Dept Phys & Astron, Neuenheimer Feld 226, Heidelberg, Germany..
German Canc Res Ctr, Div Xray Imaging & CT, Neuenheimer Feld 280, Heidelberg, Germany.;Ruprecht Karls Univ Heidelberg, Med Fac, Neuenheimer Feld 672, Heidelberg, Germany..
Dectris Ltd, Tafernweg 1, Baden, Switzerland..
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2018 (English)In: Medical ImagingĀ 2018: Physics Of Medical Imaging / [ed] Lo, JY Schmidt, TG Chen, GH, SPIE - International Society for Optical Engineering, 2018, article id UNSP 1057311Conference paper, Published paper (Refereed)
Abstract [en]

Rawdata-based material decomposition in spectral CT using photon-counting energy-selective detectors relies on a precise forward model that predicts a count-rate given intersection lengths for each material. This requires extensive system-specific measurements or calibration techniques. Existing calibrations either estimate a detected spectrum and are able to account for spectrally distorted assumptions or correct the predicted count rate using a correction function and can accommodate for count rate-dependent effects such as pulse pileup. We propose a calibration method that uses transmission measurements to optimize a correction function that, unlike existing methods, depends both on the photon energy and the count rate. It is thus able to correct for both kinds of distortions. In a simulated material decomposition into water and iodine, the error was reduced by 96% compared to the best performing reference method if only pulse pileup was present and reduced by 23% if additionally spectral distortions were taken into account. In phantom measurements using a Dectris SANTIS prototype detector, the proposed method allowed to reduce the error by 29% compared to the best performing reference method. Artifacts were below the noise level for the proposed method, while the reference methods either showed an offset in the water region or ring artifacts.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2018. article id UNSP 1057311
Series
Progress in Biomedical Optics and Imaging, ISSN 1605-7422 ; 10573
Keywords [en]
spectral CT, photon counting, material decomposition, distortion correction
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:kth:diva-235154DOI: 10.1117/12.2292194ISI: 000436173700035Scopus ID: 2-s2.0-85049236601ISBN: 978-1-5106-1636-3 (print)OAI: oai:DiVA.org:kth-235154DiVA, id: diva2:1249766
Conference
Conference on Medical Imaging - Physics of Medical Imaging, FEB 12-15, 2018, Houston, TX
Note

QC 20180920

Available from: 2018-09-20 Created: 2018-09-20 Last updated: 2018-09-20Bibliographically approved

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