Real Time 3D Brain Shift Compensation
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Deformation for Image Guided Interventions Using a Three Component Tissue Model
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Measurement of Intraoperative Brain Surface Deformation Under a Craniotomy
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Model-Updated Image-Guided Neurosurgery: Preliminary Analysis Using Intraoperative MR
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Estimation of intraoperative brain surface movement
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
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Surgical navigation systems provide the surgeon with a display of preoperative and intraoperative data in the same coordinate system. However, the systems currently in use in neurosurgery are subject to inaccuracy caused by intraoperative brain movement (brain shift) since they typically assume that the intracranial structures are rigid. Experiments show brain shift of up to one centimeter, making it the dominant error in the system. We propose a system that compensates for this error. It is based on a continuum 3D biomechanical deformable brain model guided by intraoperative data. The model takes into account neuro-anatomical constraints and is able to correspondingly deform all preoperatively acquired data. The system was tested on two sets of intraoperative MR scans, and an initial validation indicated that our approach reduced the error caused by brain shift.