Erlandsson, K;
Wirth, A;
Thielemans, K;
Baistow, I;
Cherlin, A;
Hutton, BF;
(2022)
Challenges in Optimization of a Stationary Tomographic Molecular Breast Imaging System.
In:
Proceedings of the 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
(pp. pp. 1-3).
IEEE
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Abstract
A prototype Molecular Breast Imaging (MBI) system is currently under development, motivated by the need of a practical low-dose system for use in patients with dense breast tissue, where conventional mammography is limited. The system is based on dual opposing CZT detector arrays and multi-pinhole collimators which allow for multiplexing in the projection data. We have performed optimization of various design parameters based on either contrast-to-noise ratio (CNR) in the reconstructed images or area under the localization receiver operating characteristics curve (LROC-AUC) obtained using the scan statistic model. The optimizations were based on simulated data, and the parameters investigated were pinhole size and opening angle, pinhole separation and collimator-to-detector separation. The two optimization approaches resulted in similar design parameters, allowing for reconstruction of tomographic images with high CNR and lesion detectability, which can lead to a reduced dose or scan time as compared to planar MBI.
Type: | Proceedings paper |
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Title: | Challenges in Optimization of a Stationary Tomographic Molecular Breast Imaging System |
Event: | 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) |
Location: | Piscataway, NJ, USA |
Dates: | 16th-23rd October 2021 |
ISBN-13: | 978-1-6654-2113-3 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/NSS/MIC44867.2021.9875682 |
Publisher version: | https://doi.org/10.1109/NSS/MIC44867.2021.9875682 |
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 > 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 > Department of Imaging UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine |
URI: | https://discovery.ucl.ac.uk/id/eprint/10158294 |
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