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Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms
Christos Davatzikos1, Dengfeng Liu, Dinggang Shen
1Center for Biomedical Image Computing, Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC3220, Baltimore, MD 21287, USA.
Radiology
|August 31, 2002
Abstract:
An image analysis method was developed for spatial normalization of spine magnetic resonance images. A deformable shape model of the spine is first constructed, and it is subsequently used by an automated algorithm to find a shape transformation that places patient data into a stereotactic space. Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms.
Keywords:
Non-programmatic