作者: Ivan Cabrilo , Sven Haller , Martin Rumpf , Carlo Schaller , Benjamin Berkels
DOI:
关键词: Co registration 、 Computer vision 、 Artificial intelligence 、 Energy (signal processing) 、 Prominent sulci 、 Microscope 、 Ground truth 、 Neuronavigation 、 Dura mater 、 Mri image 、 Cortical surface 、 Computer science
摘要: Brain shift, i.e. the change in configuration of brain after opening dura mater, is a key problem neuronavigation. We present an approach to co-register intra-operative microscope images with pre-operative MRI adapt and optimize The tools are robust classification sulci on extracted cortical surfaces, guided user marking most prominent image, actual variational registration method fidelity energy for 3D deformations surface combined higher order, linear elastica type prior energy. Furthermore, validated artificial testbed known ground truth deformation real data neuro clinical patient.