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A pyramidal approach for automatic segmentation of multiple sclerosis lesions in brain MRI

✍ Scribed by C. Pachai; Y.M. Zhu; J. Grimaud; M. Hermier; A. Dromigny-Badin; A. Boudraa; G. Gimenez; C. Confavreux; J.C. Froment


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
631 KB
Volume
22
Category
Article
ISSN
0895-6111

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✦ Synopsis


Quantitative assessment of Magnetic Resonance Imaging (MRI) lesion load of patients with multiple sclerosis (MS) is the most objective approach for a better understanding of the history of the pathology, either natural or modi®ed by therapies. To achieve an accurate and reproducible quanti®cation of MS lesions in conventional brain MRI, an automatic segmentation algorithm based on a multiresolution approach using pyramidal data structures is proposed. The systematic pyramidal decomposition in the frequency domain provides a robust and ¯exible low level tool for MR image analysis. Context-dependent rules regarding MRI ®ndings in MS are used as high level considerations for automatic lesion detection.


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