A new fast automated algorithm has been developed to segment the brain from T 1 -weighted volume MR images. The algorithm uses automated thresholding and morphological operations. It is fully three-dimensional and therefore independent of scan orientation. The validity and the performance of the alg
β¦ LIBER β¦
Adaptive model initialization and deformation for automatic segmentation of T1-weighted brain MRI data
β Scribed by Wu, Z.; Paulsen, K.D.; Sullivan, J.M., Jr.
- Book ID
- 114602991
- Publisher
- IEEE
- Year
- 2005
- Tongue
- English
- Weight
- 452 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0018-9294
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## Abstract ## Purpose To validate __Bridge Burner__, a new brain segmentation algorithm based on thresholding, connectivity, surface detection, and a new operator of constrained growing. ## Materials and Methods T1βweighted MR images were selected at random from three previous neuroimaging stud
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