Neurosurgical navigation systems have reduced the risk of complications from surgery and have allowed surgeons to remove tumors that were once considered inoperable. However, many techniques used by neurosurgical navigation systems to align pre- and intra-operative images are inaccurate when tissue deformations occur. Deformations commonly arise from tumor resection, gravitational effects on the organ, and the use of hyperosmotic drugs. Deformable intra-operative image registration remains a significant challenge for neurosurgical guidance. We proposed two new methods for registering pre-operative MRI with intra-operative 3D ultrasound data, during craniotomies for brain tumor resection. These methods will be delivered as part of an extensible "'NeuralNav"'toolkit that provides a common API for fetching tracker data and intra-operative images from commercial (VectorVision by BrainLAB) and research (Image-Guided Surgical Toolkit, IGSTK by Georgetown Univ) surgical guidance systems. Development and validation of methods and efforts will be conducted in collaboration with top neurosurgeons, the developers of IGSTK, and BrainLAB.
This project aims to construct registration algorithms for neurosurgical navigation and deliver them to the re- search and commercial community in an open source toolkit. These capabilities may eventually lead to improved outcomes in tumor resection.
|Risholm, Petter; Janoos, Firdaus; Norton, Isaiah et al. (2013) Bayesian characterization of uncertainty in intra-subject non-rigid registration. Med Image Anal 17:538-55|
|Kwitt, R; Vasconcelos, N; Razzaque, S et al. (2013) Localizing target structures in ultrasound video - a phantom study. Med Image Anal 17:712-22|
|Pace, Danielle F; Aylward, Stephen R; Niethammer, Marc (2013) A locally adaptive regularization based on anisotropic diffusion for deformable image registration of sliding organs. IEEE Trans Med Imaging 32:2114-26|
|Risholm, Petter; Fedorov, Andriy; Pursley, Jennifer et al. (2011) PROBABILISTIC NON-RIGID REGISTRATION OF PROSTATE IMAGES: MODELING AND QUANTIFYING UNCERTAINTY. Proc IEEE Int Symp Biomed Imaging 2011:553-556|
|Pace, Danielle F; Enquobahrie, Andinet; Yang, Hua et al. (2011) Deformable Image Registration of Sliding Organs Using Anisotropic Diffusive Regularization. Proc IEEE Int Symp Biomed Imaging :407-413|
|Niethammer, Marc; Hart, Gabriel L; Pace, Danielle F et al. (2011) Geometric metamorphosis. Med Image Comput Comput Assist Interv 14:639-46|
|Risholm, Petter; Golby, Alexandra J; Wells 3rd, William (2011) Multimodal image registration for preoperative planning and image-guided neurosurgical procedures. Neurosurg Clin N Am 22:197-206, viii|
|Risholm, Petter; Pieper, Steve; Samset, Eigil et al. (2010) Summarizing and visualizing uncertainty in non-rigid registration. Med Image Comput Comput Assist Interv 13:554-61|