TY - JOUR T1 - Generation of Individualized Thalamus Target Maps by Using Statistical Shape Models and Thalamocortical Tractography JF - American Journal of Neuroradiology JO - Am. J. Neuroradiol. SP - 2110 LP - 2116 DO - 10.3174/ajnr.A3140 VL - 33 IS - 11 AU - A. Jakab AU - R. Blanc AU - E.L. Berényi AU - G. Székely Y1 - 2012/12/01 UR - http://www.ajnr.org/content/33/11/2110.abstract N2 - BACKGROUND AND PURPOSE: Neurosurgical interventions of the thalamus rely on transferring stereotactic coordinates from an atlas onto the patient's MR brain images. We propose a prototype application for performing thalamus target map individualization by fusing patient-specific thalamus geometric information and diffusion tensor tractography. MATERIALS AND METHODS: Previously, our workgroup developed a thalamus atlas by fusing anatomic information from 7 histologically processed thalami. Thalamocortical connectivity maps were generated from DTI scans of 40 subjects by using a previously described procedure and were mapped to a standard neuroimaging space. These data were merged into a statistical shape model describing the morphologic variability of the thalamic outline, nuclei, and connectivity landmarks. This model was used to deform the atlas to individual images. Postmortem MR imaging scans were used to quantify the accuracy of nuclei predictions. RESULTS: Reliable tractography-based markers were located in the ventral lateral thalamus, with the somatosensory connections coinciding with the VPLa and VPLp nuclei; and motor/premotor connections, with the VLpv and VLa nuclei. Prediction accuracy of thalamus outlines was higher with the SSM approach than the ACPC alignment of data (0.56 mm versus 1.24; Dice overlap: 0.87 versus 0.7); for individual nuclei: 0.65 mm, Dice: 0.63 (SSM); 1.24 mm, Dice: 0.4 (ACPC). CONCLUSIONS: Previous studies have already applied DTI to the thalamus. As a further step in this direction, we demonstrate a hybrid approach by using statistical shape models, which have the potential to cope with intersubject variations in individual thalamus geometry. ACPCanterior/posterior commissureCOMcenter of massMNIMontreal Neurological InstituteSSMstatistical shape modelSTNsubthalamic nucleusVAventral anterior nucleus, parvocellular partVLventral lateral nucleusVLaventral lateral nucleus, anterior partVPLaventral posterior lateral nucleus, anterior partVPLpventral posterior lateral nucleus, posterior partVLpvventral lateral nucleus, posteroventral part ER -