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Super-resolution T2-weighted 4D MRI for image guided radiotherapy

Freedman, JN; Collins, DJ; Gurney-Champion, OJ; McClelland, JR; Nill, S; Oelfke, U; Leach, MO; (2018) Super-resolution T2-weighted 4D MRI for image guided radiotherapy. Radiotherapy and Oncology , 129 (3) pp. 486-493. 10.1016/j.radonc.2018.05.015. Green open access

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Abstract

BACKGROUND AND PURPOSE: The superior soft-tissue contrast of 4D-T2w MRI motivates its use for delineation in radiotherapy treatment planning. We address current limitations of slice-selective implementations, including thick slices and artefacts originating from data incompleteness and variable breathing. MATERIALS AND METHODS: A method was developed to calculate midposition and 4D-T2w images of the whole thorax from continuously acquired axial and sagittal 2D-T2w MRI (1.5 × 1.5 × 5.0 mm3). The method employed image-derived respiratory surrogates, deformable image registration and super-resolution reconstruction. Volunteer imaging and a respiratory motion phantom were used for validation. The minimum number of dynamic acquisitions needed to calculate a representative midposition image was investigated by retrospectively subsampling the data (10-30 dynamic acquisitions). RESULTS: Super-resolution 4D-T2w MRI (1.0 × 1.0 × 1.0 mm3, 8 respiratory phases) did not suffer from data incompleteness and exhibited reduced stitching artefacts compared to sorted multi-slice MRI. Experiments using a respiratory motion phantom and colour-intensity projection images demonstrated a minor underestimation of the motion range. Midposition diaphragm differences in retrospectively subsampled acquisitions were <1.1 mm compared to the full dataset. 10 dynamic acquisitions were found sufficient to generate midposition MRI. CONCLUSIONS: A motion-modelling and super-resolution method was developed to calculate high quality 4D/midposition T2w MRI from orthogonal 2D-T2w MRI.

Type: Article
Title: Super-resolution T2-weighted 4D MRI for image guided radiotherapy
Location: Ireland
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.radonc.2018.05.015
Publisher version: https://doi.org/10.1016/j.radonc.2018.05.015
Language: English
Additional information: Copyright © 2018 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: 4D MRI, Motion vector field, Radiotherapy treatment planning, Super resolution, T2w 4D MRI
UCL classification: UCL
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/10050865
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