The DOI matches its Crossref record.
Fully automatic segmentation of the brain in MRI
Abstract
A robust fully automatic method for segmenting the brain from head magnetic resonance (MR) images has been developed, which works even in the presence of radio frequency (RF) inhomogeneities. It has been successful in segmenting the brain in every slice from head images acquired from several different MRI scanners, using different-resolution images and different echo sequences. The method uses an integrated approach which employs image processing techniques based on anisotropic filters and "snakes" contouring techniques, and a priori knowledge, which is used to remove the eyes, which are tricky to remove based on image intensity alone. It is a multistage process, involving first removal of the background noise leaving a head mask, then finding a rough outline of the brain, then refinement of the rough brain outline to a final mask. The paper describes the main features of the method, and gives results for some brain studies.
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Cited by
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Metadata
- Authors
- Atkins, M. S., & Mackiewich, B. T.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1998
- Volume
- 17
- Issue
- 1
- Pages
- 98-107
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2107920575
- Cited by
- 394
- References
- 0
- FWCI
- 15.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Fully automatic segmentation of the brain in MRI. https://app.cochat.ai/papers/10.1109/42.668699
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- Atkins, M. S., & Mackiewich, B. T. (1998). Fully automatic segmentation of the brain in MRI. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.668699
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
