Automatic Nonrigid Registration for Tracking Brain Shift During Neurosurgery
نویسندگان
چکیده
Intraoperative imaging is used more frequently today since this enables the surgeon to localize structures inside the brain more accurately and helps to detect shape changes. In order to combine informations derived at different time points, we describe a nonrigid registration algorithm that aligns MR scans of the brain. Based on a set of feature points, an initial sparse estimate of the displacement field is found by optimizing a local cost function. A linear elastic model is then used to infer the volumetric deformation across the image. Inhomogeneous elasticity parameters are generated using empirically observed variability of the brain from a dataset of 154 young adults. Initial results are generated on intraoperative image sequences showing brain shift.
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