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Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region

Burgos, N; Cardoso, MJ; Guerreiro, F; Veiga, C; Modat, M; McClelland, J; Knopf, A-C; ... Ourselin, S; + view all (2015) Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. In: Navab, N and Hornegger, J and Wells, WM and Frangi, AF, (eds.) Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). (pp. pp. 476-484). Springer, Mach: Munich, Germany. Green open access

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Abstract

In this work, we propose to tackle the problem of magnetic resonance (MR)-based radiotherapy treatment planning in the head & neck area by synthesising computed tomography (CT) from MR images using an iterative multi-atlas approach. The proposed method relies on pre-acquired pairs of non-rigidly aligned T2-weighted MRI and CT images of the neck. To synthesise a pseudo CT, all the MRIs in the database are first registered to the target MRI using a robust affine followed by a deformable registration. An initial pseudo CT is obtained by fusing the mapped atlases according to their morphological similarity to the target. This initial pseudo CT is then combined with the target MR image in order to improve both the registration and fusion stages and refine the synthesis in the bone region. Results showed that the proposed iterative CT synthesis algorithm is able to generate pseudo CT images in a challenging region for registration algorithms. We demonstrate that the robust affine decreases the overall absolute error compared to a single affine transformation, mainly in images with small axial field-of-view, whilst the bone refinement process further reduces the error in the bone region, increasing image sharpness.

Type: Proceedings paper
Title: Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region
Event: 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Location: Munich, GERMANY
Dates: 05 October 2015 - 09 October 2015
ISBN-13: 9783319245706
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-24571-3_57
Publisher version: http://dx.doi.org/10.1007/978-3-319-24571-3_57
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.
Keywords: Science & technology, technology, life sciences & biomedicine, computer science, artificial intelligence, computer science, interdisciplinary applications, computer science, theory & methods, radiology, nuclear medicine & medical imaging, computer science, radiation-therapy, electron-density, mri.
URI: http://discovery.ucl.ac.uk/id/eprint/1469262
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