A deformable model for the reconstruction of the neonatal cortex

Andreas Schuh; Antonios Makropoulos; Robert Wright; Emma C. Robinson; Nora Tusor; Johannes Steinweg; Emer Hughes; Lucilio Cordero Grande; Anthony Price; Jana Hutter; Joseph V. Hajnal; Daniel Rueckert

doi:10.1109/ISBI.2017.7950639

A deformable model for the reconstruction of the neonatal cortex

Andreas Schuh, Antonios Makropoulos, Robert Wright, Emma C. Robinson, Nora Tusor, Johannes Steinweg, Emer Hughes, Lucilio Cordero Grande, Anthony Price, Jana Hutter, Joseph V. Hajnal, Daniel Rueckert

Imperial College London
King's College London
Fédération d'anesthésiologie-réanimation et de médecine hyperbare, hôpital d'instruction des armées du Val-de-Grâce, 75005 Paris, France; Inserm U676, hôpital Robert-Debré, 48, boulevard Sérurier, 75019 Paris, France; Université Paris Diderot, Sorbonne Paris Cité, UMRS 676, 75013 Paris, France; Centre for the Developing Brain, Department of Perinatal Imaging and Health, King's College London, London, Royaume-Uni. Electronic address: [email protected].

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

34 Citations (Scopus)

333 Downloads (Pure)

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.

Original language	English
Title of host publication	2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
Publisher	IEEE Computer Society
Pages	800-803
Number of pages	4
ISBN (Electronic)	9781509011711
DOIs	https://doi.org/10.1109/ISBI.2017.7950639
Publication status	E-pub ahead of print - 19 Jun 2017
Event	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia Duration: 18 Apr 2017 → 21 Apr 2017

Conference

Conference	14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Country/Territory	Australia
City	Melbourne
Period	18/04/2017 → 21/04/2017

Keywords

Cortex
Deformable
Neonatal
Surface

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10.1109/ISBI.2017.7950639

A deformable model for_SCHUH_Publishedonline19June2017_GREEN AAM
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Accepted author manuscript, 1.82 MB

Cite this

Schuh, A., Makropoulos, A., Wright, R., Robinson, E. C., Tusor, N., Steinweg, J., Hughes, E., Cordero Grande, L., Price, A., Hutter, J., Hajnal, J. V., & Rueckert, D. (2017). A deformable model for the reconstruction of the neonatal cortex. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 800-803). IEEE Computer Society. Advance online publication. https://doi.org/10.1109/ISBI.2017.7950639

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author = "Andreas Schuh and Antonios Makropoulos and Robert Wright and Robinson, {Emma C.} and Nora Tusor and Johannes Steinweg and Emer Hughes and {Cordero Grande}, Lucilio and Anthony Price and Jana Hutter and Hajnal, {Joseph V.} and Daniel Rueckert",

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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, A deformable model for the reconstruction of the neonatal cortex. in 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, pp. 800-803, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 18/04/2017. https://doi.org/10.1109/ISBI.2017.7950639

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AU - Schuh, Andreas

AU - Makropoulos, Antonios

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AU - Robinson, Emma C.

AU - Tusor, Nora

AU - Steinweg, Johannes

AU - Hughes, Emer

AU - Cordero Grande, Lucilio

AU - Price, Anthony

AU - Hutter, Jana

AU - Hajnal, Joseph V.

AU - Rueckert, Daniel

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N2 - 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.

AB - 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.

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ER -

A deformable model for the reconstruction of the neonatal cortex

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Keywords

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