Ventricle registration for inter-subject white matter lesion analysis

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Abstract

A method is presented to non-rigidly register lateral ventricles to enable the automated analysis of peri-ventricular white matter lesions. A binary average image of the lateral ventricle system is used as a reference image for registration. To prevent false deformations of the lesions we non-rigidly register CSF segmentations to the average lateral ventricle image. The subvoxel accuracy achieved, allows accurate mapping of the peri-ventricular white matter lesions to the reference space of the average lateral ventricles. Application to patient data shows the feasibility of the presented approach. © Springer-Verlag Berlin Heidelberg 2004.

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APA

Jongen, C., Van Der Grond, J., & Pluim, J. P. W. (2004). Ventricle registration for inter-subject white matter lesion analysis. In Lecture Notes in Computer Science (Vol. 3216, pp. 712–719). Springer Verlag. https://doi.org/10.1007/978-3-540-30135-6_87

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