Automated Segmentation of MS Lesions from Multi-channel MR Images
- 1 January 1999
- book chapter
- Published by Springer Nature in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Automated model-based tissue classification of MR images of the brainIEEE Transactions on Medical Imaging, 1999
- Automatic quantification of MS lesions in 3D MRI brain data sets: Validation of INSECTLecture Notes in Computer Science, 1998
- Automatic segmentation of brain tissues and MR bias field correction using a digital brain atlasLecture Notes in Computer Science, 1998
- Estimating the bias field of MR imagesIEEE Transactions on Medical Imaging, 1997
- Multimodality image registration by maximization of mutual informationIEEE Transactions on Medical Imaging, 1997
- Multiple sclerosis lesion quantification using fuzzy-connectedness principlesIEEE Transactions on Medical Imaging, 1997
- The Role of MRI in clinical trials of multiple sclerosis: Comparison of image processing techniquesAnnals of Neurology, 1997
- Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRIIEEE Transactions on Medical Imaging, 1996
- Automatic quantification of multiple sclerosis lesion volume using stereotaxic spacePublished by Springer Nature ,1996
- Morphometric analysis of white matter lesions in MR images: method and validationIEEE Transactions on Medical Imaging, 1994