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
✦ LIBER ✦
3-D adaptive predictive coding of moving images by block segmentation
✍ Scribed by Ernesto Conte; Maurizio Longo; Giovanni Zarone
- Publisher
- Elsevier Science
- Year
- 1982
- Tongue
- English
- Weight
- 968 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0165-1684
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## Abstract ## Purpose To analyze the 3D microarchitecture of rat lumbar vertebrae by micro‐magnetic resonance imaging (μ‐MRI). ## Materials and Methods μ‐MR images (20 × 20 × 20 μm^3^ apparent voxel size) were acquired with a three‐dimensional spin‐echo pulse sequence on four lumbar vertebrae o