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Challenges in Optimization of a Stationary Tomographic Molecular Breast Imaging System

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 Green open access

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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
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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