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Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution

Ebner, M; Chouhan, MC; Patel, PA; Atkinson, DA; Amin, ZA; Read, SR; Punwani, SP; ... Ourselin, SO; + view all (2016) Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution. In: Kainz, B and Bhatia, K and Zuluaga, M and Vaillant, G, (eds.) Reconstruction, Segmentation, and Analysis of Medical Images. (pp. pp. 3-13). Springer Green open access

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Abstract

MR image acquisition of moving organs remains challenging despite the advances in ultra-fast 2D MRI sequences. Post-acquisition techniques have been proposed to increase spatial resolution a posteriori by combining acquired orthogonal stacks into a single, high-resolution (HR) volume. Current super-resolution techniques classically rely on a two-step procedure. The volumetric reconstruction step leverages a physical slice acquisition model. However, the motion correction step typically neglects the point spread function (PSF) information. In this paper, we propose a PSF-aware slice-to-volume registration approach and, for the first time, demonstrate the potential benefit of Super-Resolution for upper abdominal imaging. Our novel reconstruction pipeline takes advantage of different MR acquisitions clinically used in routine MR cholangiopancreatography studies to guide the registration. On evaluation of clinically relevant image information, our approach outperforms state-of-the-art reconstruction toolkits in terms of visual clarity and preservation of raw data information. Overall, we achieve promising results towards replacing currently required CT scans.

Type: Proceedings paper
Title: Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution
Event: RAMBO 2016: 1st International Workshop on Reconstruction and Analysis of Moving Body Organs, 17 October 2016, Athens, Greece
Location: Athens, Greece
Dates: 17 October 2016 - 21 October 2016
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-52280-7_1
Publisher version: http://dx.doi.org/10.1007/978-3-319-52280-7_1
Language: English
Keywords: Super-Resolution Reconstruction, Point Spread Function, Registration, Scattered Data Approximation, MRCP Study
UCL classification: UCL
UCL > Provost and Vice Provost Offices
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 > Metabolism and Experi Therapeutics
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 Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1505703
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