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: 19-Jun-2017
Date of Acceptance: 10-Jan-2017
URI: http://hdl.handle.net/10044/1/43914
DOI: 10.1109/ISBI.2017.7950639
ISSN: 1945-8452
Publisher: IEEE
Journal / Book Title: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 319456
Conference Name: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI)
Keywords: Science & Technology
Life Sciences & Biomedicine
Biochemical Research Methods
Biochemistry & Molecular Biology
Publication Status: Published
Start Date: 2017-04-18
Finish Date: 2017-04-21
Conference Place: Melbourne, Australia
Appears in Collections:Faculty of Engineering

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