Int J Comput Assist Radiol Surg - Co-registration of intra-operative brain surface photographs and pre-operative MR images.


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RPOSE: Brain shift, the change in configuration of the brain after opening the dura mater, is a significant problem for neuronavigation. Brain structures at intra-operative deformed positions must be matched with corresponding structures in the pre-operative 3D planning data. A method to co-register the cortical surface from intra-operative microscope images with pre-operative MRI-segmented data was developed and tested.METHODS: Automated classification of sulci on MRI-extracted cortical surfaces was tested by comparison with user guided marking of prominent sulci on an intra-operative photography. A variational registration method with a fidelity energy for 3D deformations of the cortical surface in conjunction with a higher-order, linear elastic prior energy was used for the actual registration. The minimization of this energy was performed with a regularized gradient descent scheme using finite elements for spatial discretization. The sulcal classification method was tested on eight different clinical MRI data sets by comparison of the deformed MRI scans with intra-operative photographs of the brain surface.RESULTS: User intervention was required for marking sulci on the photographs demonstrating the potential for incorporating an automatic classifier. The actual registration was validated first on an artificial testbed. The complete algorithm for the co-registration of actual clinical MRI data was successful for eight different patients.CONCLUSIONS: Pre-operative MRI scans can be registered to intra-operative brain surface photographs using a surface-to-surface registration method. This co-registration method has potential applications in neurosurgery, particularly during functional procedures.

Resumo Limpo

rpose brain shift chang configur brain open dura mater signific problem neuronavig brain structur intraop deform posit must match correspond structur preoper d plan data method coregist cortic surfac intraop microscop imag preoper mriseg data develop testedmethod autom classif sulci mriextract cortic surfac test comparison user guid mark promin sulci intraop photographi variat registr method fidel energi d deform cortic surfac conjunct higherord linear elast prior energi use actual registr minim energi perform regular gradient descent scheme use finit element spatial discret sulcal classif method test eight differ clinic mri data set comparison deform mri scan intraop photograph brain surfaceresult user intervent requir mark sulci photograph demonstr potenti incorpor automat classifi actual registr valid first artifici testb complet algorithm coregistr actual clinic mri data success eight differ patientsconclus preoper mri scan can regist intraop brain surfac photograph use surfacetosurfac registr method coregistr method potenti applic neurosurgeri particular function procedur

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