Automated Segmentation of MS Lesions from Multi-channel MR Images
نویسندگان
چکیده
Quantitative analysis of MR images is becoming increasingly important as a surrogate marker in clinical trials in multiple sclerosis (MS). This paper describes a fully automated model-based method for segmentation of MS lesions from multi-channel MR images. The method simultaneously corrects for MR eld inhomogeneities, estimates tissue class distribution parameters and classiies the image voxels. MS lesions are detected as voxels that are not well explained by the model. The results of the automated method are compared with the lesions delineated by human experts, showing a signiicant total lesion load correlation and an average overall spatial correspondence similar to that between the experts.
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