## Abstract An automated method for extracting brain volumes from three commonly acquired three‐dimensional (3D) MR images (proton density, T1 weighted, and T2‐weighted) of the human head is described. The procedure is divided into four levels: preprocessing, segmentation, scalp removal, and postpr
✦ LIBER ✦
The description and visualization of a vascular tree from 3D MR brain angiographic images
✍ Scribed by D. V. Sanko; A. V. Tuzikov
- Book ID
- 110209305
- Publisher
- SP MAIK Nauka/Interperiodica
- Year
- 2006
- Tongue
- English
- Weight
- 178 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1054-6618
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An algorithm for the segmentation of a single sequence of three-dimensional magnetic resonance (MR) images into cerebrospinal fluid, gray matter, and white matter classes is proposed. This new method is a possibilistic clustering algorithm using the fuzzy theory as frame and the wavelet coefficients