Vitor Mendes Pereira1,2, Iris Smit-Ockeloen3, Olivier Brina1, Drazenko Babic4, Marcel Breeuwer3,4, Karl Schaller5, Karl-Olof Lovblad1, Daniel Ruijters4. 1. Division of Neuroradiology, Department of Medical Imaging, University Hospitals of Geneva, Geneva, Switzerland. 2. Division of Neuroradiology, Joint Department of Medical Imaging and Division of Neurosurgery, Department of Surgery, University Health Network, Toronto, Ontario, Canada. 3. Eindhoven University of Technology, Department of Biomedical Engineering, Eindhoven, the Netherlands. 4. Philips Healthcare, Best, the Netherlands. 5. Division of Neurosurgery, University Hospitals of Geneva, Geneva, Switzerland.
Abstract
BACKGROUND: Cerebrospinal fluid leakage and ventricular compression during open surgery may lead to brain deformation called brain shift. Brain shift may affect intraoperative navigation that is based on image-based preoperative planning. Tools to correct or predict these anatomic modifications can be important to maintain precision during open guided neurosurgery. OBJECTIVE: To obtain a reliable intraoperative volumetric deformation vector field describing brain shift during intracranial neurosurgical procedures. METHODS: We acquired preoperative and intraoperative cone-beam computed tomography enhanced with intravenous injection of iodine contrast. These data sets were preprocessed and elastically registered to obtain the volumetric brain shift deformation vector fields. RESULTS: We obtained the brain shift deformation vector field in 9 cases. The deformation fields proved to be highly nonlinear, particularly around the ventricles. Interpatient variability was considerable, with a maximum deformation ranging from 8.1 to 26.6 mm and a standard deviation ranging from 0.9 to 4.9 mm. CONCLUSION: Contrast-enhanced cone-beam computed tomography provides a feasible technique for intraoperatively determining brain shift deformation vector fields. This technique can be used perioperatively to adjust preoperative planning and coregistration during neurosurgical procedures.
BACKGROUND: Cerebrospinal fluid leakage and ventricular compression during open surgery may lead to brain deformation called brain shift. Brain shift may affect intraoperative navigation that is based on image-based preoperative planning. Tools to correct or predict these anatomic modifications can be important to maintain precision during open guided neurosurgery. OBJECTIVE: To obtain a reliable intraoperative volumetric deformation vector field describing brain shift during intracranial neurosurgical procedures. METHODS: We acquired preoperative and intraoperative cone-beam computed tomography enhanced with intravenous injection of iodine contrast. These data sets were preprocessed and elastically registered to obtain the volumetric brain shift deformation vector fields. RESULTS: We obtained the brain shift deformation vector field in 9 cases. The deformation fields proved to be highly nonlinear, particularly around the ventricles. Interpatient variability was considerable, with a maximum deformation ranging from 8.1 to 26.6 mm and a standard deviation ranging from 0.9 to 4.9 mm. CONCLUSION: Contrast-enhanced cone-beam computed tomography provides a feasible technique for intraoperatively determining brain shift deformation vector fields. This technique can be used perioperatively to adjust preoperative planning and coregistration during neurosurgical procedures.
Authors: Nazim Haouchine; Parikshit Juvekar; William M Wells; Stephane Cotin; Alexandra Golby; Sarah Frisken Journal: Med Image Comput Comput Assist Interv Date: 2020-09-29
Authors: Nazim Haouchine; Parikshit Juvekar; Alexandra Golby; William M Wells; Stephane Cotin; Sarah Frisken Journal: Proc SPIE Int Soc Opt Eng Date: 2020-03-16
Authors: Raphael Jakubovic; Daipayan Guha; Shaurya Gupta; Michael Lu; Jamil Jivraj; Beau A Standish; Michael K Leung; Adrian Mariampillai; Kenneth Lee; Peter Siegler; Patryk Skowron; Hamza Farooq; Nhu Nguyen; Joseph Alarcon; Ryan Deorajh; Joel Ramjist; Michael Ford; Peter Howard; Nicolas Phan; Leo da Costa; Chris Heyn; Gamaliel Tan; Rajeesh George; David W Cadotte; Todd Mainprize; Albert Yee; Victor X D Yang Journal: Sci Rep Date: 2018-10-05 Impact factor: 4.379