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Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors

Cardoso, MJ; Clarkson, MJ; Ridgway, GR; Modat, M; Fox, NC; Ourselin, S; (2009) Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors. In: Yang, GZ and Hawkes, D and Rueckert, D and Nobel, A and Taylor, C, (eds.) MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2009, PT II, PROCEEDINGS. (pp. 439 - 447). SPRINGER-VERLAG BERLIN

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Abstract

Thickness measurements of the cerebral cortex can aid diagnosis and provide valuable information about the temporal evolution of several diseases such as Alzheimer's, Huntington's, Schizophrenia, as well as normal ageing. The presence of deep sulci and 'collapsed gyri' (caused by the loss of tissue in patients with neurodegenerative diseases) complicates the tissue segmentation due to partial volume (PV) effects and limited resolution of MRI. We extend existing work to improve the segmentation and thickness estimation in a single framework. We model the PV effect using a maximum a posteriori approach with novel iterative modification of the prior information to enhance deep sulci and gyri delineation. We use a voxel based approach to estimate thickness using the Laplace equation within a Lagrangian-Eulerian framework leading to sub-voxel accuracy. Experiments performed on a new digital phantom and oil clinical Alzheimer's disease MR images show improvements in both accuracy and robustness of the thickness measurements, as well as a reduction of errors in deep sulci and collapsed gyri.

Type: Proceedings paper
Title: Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors
Event: 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2009)
Location: Imperial Coll, London, ENGLAND
Dates: 2009-09-20 - 2009-09-24
ISBN-13: 978-3-642-04270-6
Keywords: MRI, BRAIN, CLASSIFICATION
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/144921
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