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Grey-level morphology based segmentation of T1-MRI of the human cortex

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2001) 2208 1371-1372
DOI: 10.1007/3-540-45468-3_233
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Abstract

In this paper an algorithm for fully automatic segmentation of the cortex from T1-weighted transversal, coronal or sagittal MRI data is presented. A histogram-based method is used to find accurate threshold values. Four initial masks are generated, containing background, brain tissue, 3D grey-level eroded brain tissue and 3D grey-level dilated surrounding fat. Information from previous slices are used to avoid leaking from non-brain tissue.

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APA

Hult, R., & Bengtsson, E. (2001). Grey-level morphology based segmentation of T1-MRI of the human cortex. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 1371–1372). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_233

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