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Visser E, Keuken MC, Douaud G, Gaura V, Bachoud-Levi AC, Remy P, Forstmann BU, Jenkinson M. Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool. Neuroimage 2016; 125:479-497. [PMID: 26477650 PMCID: PMC4692519 DOI: 10.1016/j.neuroimage.2015.10.013] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Revised: 10/05/2015] [Accepted: 10/06/2015] [Indexed: 11/29/2022] Open
Abstract
Accurate segmentation of the subcortical structures is frequently required in neuroimaging studies. Most existing methods use only a T1-weighted MRI volume to segment all supported structures and usually rely on a database of training data. We propose a new method that can use multiple image modalities simultaneously and a single reference segmentation for initialisation, without the need for a manually labelled training set. The method models intensity profiles in multiple images around the boundaries of the structure after nonlinear registration. It is trained using a set of unlabelled training data, which may be the same images that are to be segmented, and it can automatically infer the location of the physical boundary using user-specified priors. We show that the method produces high-quality segmentations of the striatum, which is clearly visible on T1-weighted scans, and the globus pallidus, which has poor contrast on such scans. The method compares favourably to existing methods, showing greater overlap with manual segmentations and better consistency.
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Affiliation(s)
- Eelke Visser
- FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
| | - Max C Keuken
- Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands
| | - Gwenaëlle Douaud
- FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Veronique Gaura
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Département des Sciences du Vivant (DSV), Institut d'Imagerie Biomédicale (I2BM), MIRCen, F-92260 Fontenay-aux-Roses, France; Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud, Université Paris-Saclay, UMR 9199, Neurodegenerative Diseases Laboratory, F-92260 Fontenay-aux-Roses, France
| | - Anne-Catherine Bachoud-Levi
- AP-HP, Hôpital Henri Mondor, Centre de Référence-Maladie de Huntington, Neurologie cognitive, Créteil, France; Université Paris Est, Faculté de médecine, Créteil, France; INSERM U955, Equipe 01, Neuropsychologie Interventionnelle, Créteil, France; Département d'Etudes Cognitives, Ecole Normale Supérieure, PSL Research University, Paris, France
| | - Philippe Remy
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Département des Sciences du Vivant (DSV), Institut d'Imagerie Biomédicale (I2BM), MIRCen, F-92260 Fontenay-aux-Roses, France; Centre Expert Parkinson et NEURATRIS, CHU Henri Mondor, Pôle Neuro-Locomoteur, Assistance Publique Hôpitaux de Paris et Université Paris Est Créteil, France
| | - Birte U Forstmann
- Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands
| | - Mark Jenkinson
- FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
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