title: Model-driven brain shift compensation.
abstract: 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 deformation (brain shift), since they typically assume that the intracranial structures are rigid. Experiments show brain shift of up to 1 cm, making it the dominant error in the system. We propose a biomechanical-model-based approach for brain shift compensation. Two models are presented: a damped spring-mass model and a model based on continuum mechanics. Both models are guided by limited intraoperative (exposed brain) surface data, with the aim to recover the deformation in the full volume. The two models are compared and their advantages and disadvantages discussed. A partial validation using intraoperative MR image sequences indicates that the approach reduces the error caused by brain shift.
authors.affiliation: Department of Electrical Engineering, Yale University, New Haven, CT, USA. oskar.skrinjar@bme.gatech.edu
authors.forename: Oskar
authors.initials: O
authors.lastname: Skrinjar
authors.forename: Arya
authors.initials: A
authors.lastname: Nabavi
authors.forename: James
authors.initials: J
authors.lastname: Duncan
mesh_terms: D001921:Brain / Q000502:physiology* / Q000601:surgery*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007432:Intraoperative Period; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008959:Models, Neurological; D009493:Neurosurgery / Q000379:methods*