A deformable model for the reconstruction of the neonatal cortex

Schuh A, Makropoulos A, Wright R, Robinson EC, Tusor N, Steinweg J, Hughes E, Cordero Grande L, Price A, Hutter J, Hajnal JV, Rueckert D (2017)

Publication Type: Conference contribution

Publication year: 2017

Journal

Proceedings - International Symposium on Biomedical Imaging

Publisher: IEEE Computer Society

Pages Range: 800-803

Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging

Event location: Melbourne, VIC, AUS

ISBN: 9781509011711

DOI: 10.1109/ISBI.2017.7950639

Abstract

We present a method based on deformable meshes for the reconstruction of the cortical surfaces of the developing human brain at the neonatal period. It employs a brain segmentation for the reconstruction of an initial inner cortical surface mesh. Errors in the segmentation resulting from poor tissue contrast in neonatal MRI and partial volume effects are subsequently accounted for by a local edge-based refinement. We show that the obtained surface models define the cortical boundaries more accurately than the segmentation. The surface meshes are further guaranteed to not intersect and subdivide the brain volume into disjoint regions. The proposed method generates topologically correct surfaces which facilitate both a flattening and spherical mapping of the cortex.

Involved external institutions

King’s College London GB United Kingdom (GB) Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Schuh, A., Makropoulos, A., Wright, R., Robinson, E.C., Tusor, N., Steinweg, J.,... Rueckert, D. (2017). A deformable model for the reconstruction of the neonatal cortex. In Proceedings - International Symposium on Biomedical Imaging (pp. 800-803). Melbourne, VIC, AUS: IEEE Computer Society.

MLA:

Schuh, Andreas, et al. "A deformable model for the reconstruction of the neonatal cortex." Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, VIC, AUS IEEE Computer Society, 2017. 800-803.

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