A deformable model for the reconstruction of the neonatal cortex

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Title: A deformable model for the reconstruction of the neonatal cortex
Authors: 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
Item Type: Conference Paper
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.
Issue Date: 18-Apr-2017
Date of Acceptance: 10-Jan-2017
URI: http://hdl.handle.net/10044/1/43914
Copyright Statement: This paper is embargoed until publication.
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 319456
Conference Name: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI)
Keywords: Deformable
Neonatal
Cortex
Surface
Publication Status: Accepted
Start Date: 2017-04-18
Finish Date: 2017-04-21
Conference Place: Melbourne, Australia
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Bioengineering
Computing



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