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A new semi-automatic method for segmenting the spinal cord from MR images is presented. The method is based on an active surface (AS) model of the cord surface, with intrinsic smoothness constraints. The model is initialized by the user marking the approximate cord center-line on a few representative slices, and the compact surface parametrization results(More)
OBJECTIVE Spinal cord atrophy is prominent in chronic progressive neurologic diseases such as human T-cell lymphotropic virus type 1 (HTLV-1)-associated myelopathy/tropical spastic paraparesis (HAM/TSP) and multiple sclerosis (MS). Here we compared the spinal cord cross-sectional area (SCCSA) in HAM/TSP and MS patients to that of healthy volunteers (HVs).(More)
The inflammation and subsequent atrophy of the spinal cord are thought to underlie the debilitating symptoms of HAM/TSP. Although spinal cord atrophy can be qualitatively detected on routine clinical MRI, a robust and sensitive method to quantify changes in spinal cord size might capture disease processes. We have developed a novel and fast algorithm to(More)
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