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Uncertainty-aware multi-resolution whole-body MR to CT synthesis

Klaser, K; Borges, P; Shaw, R; Ranzini, M; Modat, M; Atkinson, D; Thielemans, K; ... Ourselin, S; + view all (2020) Uncertainty-aware multi-resolution whole-body MR to CT synthesis. In: International Workshop on Simulation and Synthesis in Medical Imaging SASHIMI 2020: Simulation and Synthesis in Medical Imaging. (pp. pp. 110-119). Springer, Cham Green open access

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Abstract

Synthesising computed tomography (CT) images from magnetic resonance images (MRI) plays an important role in the field of medical image analysis, both for quantification and diagnostic purposes. Especially for brain applications, convolutional neural networks (CNNs) have proven to be a valuable tool in this image translation task, achieving state-of-the-art results. Full body image synthesis, however, remains largely uncharted territory, bearing many challenges including a limited field of view and large image size, complex spatial context and anatomical differences between time-elapsing image acquisitions. We propose a novel multi-resolution cascade 3D network for end-to-end full-body MR to CT synthesis. We show that our method outperforms popular CNNs like U-Net in 2D and 3D. We further propose to include uncertainty in our network as a measure of safety and to account for intrinsic noise and misalignment in the data.

Type: Proceedings paper
Title: Uncertainty-aware multi-resolution whole-body MR to CT synthesis
Event: SASHIMI 2020: Simulation and Synthesis in Medical Imaging
Location: Online
Dates: 04 October 2020 - 04 October 2020
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-59520-3_12
Publisher version: https://doi.org/10.1007/978-3-030-59520-3_12
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
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10107243
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