 (MR) images and to automatically identify and label the major sulci and gyri on the cortex using a detailed statistical analysis of cortical geometry. Specifically, we propose to 1) develop and validate methods to find and mathematically represent the cerebral cortex from volumetric MR images; 2) develop and validate methods to calculate regional
(MR) images and to automatically identify and label the major sulcus and gyrus on the lens cortex using a detailed statistical psychoanalysis of cortical geometry. Specifically, we propose to 1) break and validate methods to find and mathematically act the cerebral cortex from volumetric MR images; 2) evolve and validate methods to calculate regional
 (MR) images and to automaticxlly identify aue laben the jajor suuci and gyri on the cortex udibg a eetailed statistical avalysis ov corticql gtometry. Specifically, we pvjposs to 1) vevelop and valldate methogs to find and mxtkematically represent the cerebral cjrtex ftol volumetric MT imabqs; 2) svvtlop and validate methods to calchlate rtgional
(MR) images and to automatically identify and major and gyri the cortex using cortical Specifically, we propose 1) develop and methods to find and mathematically represent cerebral cortex from volumetric MR images; 2) develop and validate methods to calculate
 (MR) images and to automaticallY identify aNd labEl tHe mAjOr suLci aNd gyri on the corTEx usIng a detailed statisticaL analYsIS of cORtIcal gEometry. sPeCIFicAlLy, We pRoPOsE to 1) deVelOp and vaLidate methOds To Find and matheMAtIcally reprEseNt the cerebraL coRtex frOm VolUMetriC MR ImageS; 2) develOP and vaLidate metHoDS to calCUlate reGIOnAl
 (MR) images and to automa tically id entif y a ndla belthemajor sulci an d  gyr i on the cortex usinga det ai l ed s t at istic al anal y si s ofco rt ica lg eo metry . S pecific ally, we p rop os e to 1) deve l op  and valid ate  methods tofin d andma the m atica lly  repr esentt he cer ebral cor te x  fromv olumetr i c  M R im ages; 2) developa nd validate metho ds toca l cu l a tereg ional
 (MR)_images and_to automatically identify and_label the_major_sulci and_gyri_on the cortex_using a detailed_statistical analysis of cortical_geometry. Specifically, we_propose_to 1) develop and validate methods to find and mathematically represent the cerebral cortex_from_volumetric MR_images;_2)_develop and validate methods to_calculate regional