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Reconstruction of Time-Of-Flight Projection Data with the STIR reconstruction framework

Efthimiou, N; Emond, E; Cawthorne, C; Tsoumpas, C; Thielemans, K; (2018) Reconstruction of Time-Of-Flight Projection Data with the STIR reconstruction framework. In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE: Atlanta, GA, USA. Green open access

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Abstract

This manuscript gives an update on the integration of Time-Of-Flight reconstruction into the STIR image reconstruction toolkit. In this iteration we provide significant support to reconstruct TOF-compatible projection data. Most infrastructure classes, such as ProjDataInfo and ProjData, have been extended, and utilities, as lm_to_projdata, used to create sinograms from listmode data, can now handle TOF information. This extension required many modifications in the low level code base of STIR, making it non-trivial and error-prone. Therefore, a thorough validation is required. In this work we provide initial results of the correctness of the extension. Using Monte Carlo simulations, as well as cylindrical and XCAT phantoms analytically projected, we calculate the contrast recovery ratio over a wide range of iterations. The results demonstrate the benefits of TOF under different configurations, which are in good agreement with literature. The ROI mean value converges to the maximum faster with better timing resolution, while larger number of TOF bins improve contrast values in low iterations.

Type: Proceedings paper
Title: Reconstruction of Time-Of-Flight Projection Data with the STIR reconstruction framework
Event: IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) / 24th International Symposium on Room-Temperature Semiconductor X-Ray and Gamma-Ray Detectors
Location: Atlanta, GA
Dates: 21 October 2017 - 28 October 2017
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/NSSMIC.2017.8533081
Publisher version: https://doi.org/10.1109/NSSMIC.2017.8533081
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
URI: https://discovery.ucl.ac.uk/id/eprint/10087285
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