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Registration of 3D fetal neurosonography and MRI.

Kuklisova-Murgasova, M; Cifor, A; Napolitano, R; Papageorghiou, A; Quaghebeur, G; Rutherford, MA; Hajnal, JV; Noble, JA; Schnabel, JA (2013) Registration of 3D fetal neurosonography and MRI. Medical Image Analysis, 17 (8). 1137 - 1150. ISSN 1361-8415 https://doi.org/10.1016/j.media.2013.07.004
SGUL Authors: Papageorghiou, Aris

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Abstract

We propose a method for registration of 3D fetal brain ultrasound with a reconstructed magnetic resonance fetal brain volume. This method, for the first time, allows the alignment of models of the fetal brain built from magnetic resonance images with 3D fetal brain ultrasound, opening possibilities to develop new, prior information based image analysis methods for 3D fetal neurosonography. The reconstructed magnetic resonance volume is first segmented using a probabilistic atlas and a pseudo ultrasound image volume is simulated from the segmentation. This pseudo ultrasound image is then affinely aligned with clinical ultrasound fetal brain volumes using a robust block-matching approach that can deal with intensity artefacts and missing features in the ultrasound images. A qualitative and quantitative evaluation demonstrates good performance of the method for our application, in comparison with other tested approaches. The intensity average of 27 ultrasound images co-aligned with the pseudo ultrasound template shows good correlation with anatomy of the fetal brain as seen in the reconstructed magnetic resonance image.

Item Type: Article
Additional Information: © 2013 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Block matching, Fetal 3D ultrasound, Fetal neurosonography, MR ultrasound registration
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: Medical Image Analysis
ISSN: 1361-8415
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Dates:
DateEvent
1 December 2013Published
PubMed ID: 23969169
Web of Science ID: 23969169
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URI: http://sgultest.da.ulcc.ac.uk/id/eprint/103870
Publisher's version: https://doi.org/10.1016/j.media.2013.07.004

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