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Design of a low-dose, stationary, tomographic Molecular Breast Imaging system using 3D position sensitive CZT detectors

Erlandsson, Kjell; Wirth, Andras; Thielemans, Kris; Baistow, Ian; Cherlin, Alexander; Hutton, Brian F; (2022) Design of a low-dose, stationary, tomographic Molecular Breast Imaging system using 3D position sensitive CZT detectors. IEEE Transactions on Radiation and Plasma Medical Sciences 10.1109/trpms.2022.3223129. (In press). Green open access

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Abstract

Molecular Breast Imaging (MBI) has been shown to have high sensitivity for lesion detection, particularly in patients with dense breasts where conventional mammography is limited. However, relatively high radiation dose and long imaging time are limiting factors. Most current MBI systems are based on planar imaging. Improved performance can be achieved using tomographic techniques, which normally involve detector motion. Our goal is to develop a low-dose stationary tomographic MBI system with similar or better performance in terms of lesion detection compared to planar MBI. The proposed system utilizes two opposing CZT detectors with high intrinsic resolution and depth of interaction (DOI) capability, combined with densely packed multi-pinhole collimators. This leads to improved efficiency and adequate angular sampling, but also to significant multiplexing (MX), which can result in artefacts. We have developed de-MX algorithms that take advantage of the DOI information. We have performed both analytic and Monte Carlo simulations to demonstrate the feasibility, optimize the design and investigate the expected performance of the proposed system. Lesion detectability was preserved with reduction of acquisition time (or radiation dose) by a factor of 2 compared to planar images at the lowest reported dose. The first prototype is under evaluation at Kromek.

Type: Article
Title: Design of a low-dose, stationary, tomographic Molecular Breast Imaging system using 3D position sensitive CZT detectors
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/trpms.2022.3223129
Publisher version: https://doi.org/10.1109/TRPMS.2022.3223129
Language: English
Additional information: This version is the author accepted manuscript. This work was supported by an Innovate UK grant awarded to Kromek (104296). INM staff are partly funded by the NIHR University College London Hospitals Biomedical Research Centre. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Keywords: Detectors, Phantoms, Lesions, Collimators, Tomography, Image reconstruction, Breast
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/10160866
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