Abstract
In recent years, multi-atlas segmentation has emerged as one of the most accurate techniques for the segmentation of brain magnetic resonance (MR) images, especially when combined with intensity-based refinement techniques such as graph-cut or expectation-maximization (EM) optimization. However, most of the work so far has focused on intensity-based refinement strategies for individual anatomical structures such as the hippocampus. In this work we extend a previously proposed framework for labeling whole brain scans by incorporating a global and stationary Markov random field that ensures the consistency of the neighbourhood relations between structures with an a-priori defined model. In particular we improve the segmentation result of a locally weighted multi-atlas fusion method for 41 different structures simultaneously by applying a subsequent EM optimization step. We evaluate the proposed approach on 30 manually annotated brain MR images and observe an improvement of label overlaps to a manual reference by up to 6%. We also achieved a considerably improved group separation when the proposed segmentation framework is applied to a volumetric analysis of 404 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort.
Original language | English |
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Title of host publication | 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 896-899 |
ISBN (Electronic) | 978-1-4577-1858-8, 978-1-4577-1856-4 |
ISBN (Print) | 978-1-4577-1857-1 |
DOIs | |
Publication status | Published - 2012 |
MoE publication type | A4 Article in a conference publication |
Event | 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain Duration: 2 May 2012 → 5 May 2012 Conference number: 9 |
Conference
Conference | 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 |
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Abbreviated title | ISBI 2012 |
Country | Spain |
City | Barcelona |
Period | 2/05/12 → 5/05/12 |
Keywords
- brain atrophy
- hippocampus
- Alzheimers disease