2005
DOI: 10.1001/archneur.62.11.1666
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Multiple Sclerosis and Black Holes

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Cited by 22 publications

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“…Tissue segmentation tools (e.g., FAST, FreeSurfer [11,14]) as well as many WML segmentation tools (e.g., using machine learning algorithms [4,19]) use both tissue intensity and anatomical pri- Lesion identication per se is only one application of image intensity gradients. In both MS and cerebral small vessel disease, WMLs are dynamic entities capable of expansion or contraction [8,7] or histological conversion e.g., into black holes [25]. Consideration of tissue gradients potentially allows for the sub-voxel determination of lesion boundaries as described in Figure 1.…”
Section: Discussion
mentioning
confidence: 99%