An Optimized PatchMatch for multi-scale and multi-feature label fusion
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
hal.structure.identifier | Institut Polytechnique de Bordeaux [Bordeaux INP] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | GIRAUD, Rémi | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
hal.structure.identifier | Institut Polytechnique de Bordeaux [Bordeaux INP] | |
dc.contributor.author | TA, Vinh-Thong | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | PAPADAKIS, Nicolas | |
hal.structure.identifier | ITACA | |
dc.contributor.author | MANJON, Jose Vicente | |
hal.structure.identifier | McConnell Brain Imaging Centre [MNI] | |
dc.contributor.author | LOUIS COLLINS, D | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | COUPÉ, Pierrick | |
dc.date.accessioned | 2024-04-04T03:17:40Z | |
dc.date.available | 2024-04-04T03:17:40Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1053-8119 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/194326 | |
dc.description.abstractEn | Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated state-of-the-art segmentation accuracy. In this paper, we introduce a new patch-based label fusion framework to perform segmentation of anatomical structures. The proposed approach uses an Optimized PAtchMatch Label fusion (OPAL) strategy that drastically reduces the computation time required for the search of similar patches. The reduced computation time of OPAL opens the way for new strategies and facilitates processing on large databases. In this paper, we investigate new perspectives offered by OPAL, by introducing a new multi-scale and multi-feature framework. During our validation on hippocampus segmentation we use two datasets: young adults in the ICBM cohort and elderly adults in the EADC-ADNI dataset. For both, OPAL is compared to state-of-the-art methods. Results show that OPAL obtained the highest median Dice coefficient (89.9% for ICBM and 90.1% for EADC-ADNI). Moreover, in both cases, OPAL produced a segmentation accuracy similar to inter-expert variability. On the EADC-ADNI dataset, we compare the hippocampal volumes obtained by manual and automatic segmentation. The volumes appear to be highly correlated that enables to perform more accurate separation of pathological populations. | |
dc.description.sponsorship | Initiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003 | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.subject.en | Segmentation | |
dc.subject.en | Patch-Based Method | |
dc.subject.en | Patch Matching | |
dc.subject.en | Late Fusion | |
dc.subject.en | Hippocampus | |
dc.title.en | An Optimized PatchMatch for multi-scale and multi-feature label fusion | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1016/j.neuroimage.2015.07.076 | |
dc.subject.hal | Informatique [cs] | |
dc.subject.hal | Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV] | |
dc.subject.hal | Informatique [cs]/Traitement des images | |
dc.subject.hal | Informatique [cs]/Imagerie médicale | |
bordeaux.journal | NeuroImage | |
bordeaux.page | 770-782 | |
bordeaux.volume | 124 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01198703 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01198703v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=NeuroImage&rft.date=2016&rft.volume=124&rft.spage=770-782&rft.epage=770-782&rft.eissn=1053-8119&rft.issn=1053-8119&rft.au=GIRAUD,%20R%C3%A9mi&TA,%20Vinh-Thong&PAPADAKIS,%20Nicolas&MANJON,%20Jose%20Vicente&LOUIS%20COLLINS,%20D&rft.genre=article |
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