Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms.

Davatzikos, Christos; Liu, Dengfeng; Shen, Dinggang; Herskovits, Edward H · Radiology · 2002

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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.

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