Image Updating for Brain Shift Compensation During Resection. Issue 4 (27th June 2017)

• Record Type: Journal Article
• Authors: Fan, Xiaoyao; Roberts, David W; Olson, Jonathan D; Ji, Songbai; Schaewe, Timothy J; Simon, David A; Paulsen, Keith D
• Is Part Of: Operative neurosurgery. Volume 14:Issue 4(2018)
• Page Start: 402
• Page End: 411
• Publication Date: 2017-06-27
• Subjects: Brain deformation -- FEM model -- Image-guided neurosurgery -- Intraoperative stereovision -- Optical flow -- Resection -- Sparse data; Nervous system -- Surgery -- Periodicals; 617.480590
• DOI: 10.1093/ons/opx123
• Languages: English
• ISSNs: 2332-4252

Abstract

Abstract: BACKGROUND: In open-cranial neurosurgery, preoperative magnetic resonance (pMR) images are typically coregistered for intraoperative guidance. Their accuracy can be significantly degraded by intraoperative brain deformation, especially when resection is involved. OBJECTIVE: To produce model updated MR (uMR) images to compensate for brain shift that occurred during resection, and evaluate the performance of the image-updating process in terms of accuracy and computational efficiency. METHODS: In 14 resection cases, intraoperative stereovision image pairs were acquired after dural opening and during resection to generate displacement maps of the surgical field. These data were assimilated by a biomechanical model to create uMR volumes of the evolving surgical field. A tracked stylus provided independent measurements of feature locations to quantify target registration errors (TREs) in the original coregistered pMR and uMR as surgery progressed. RESULTS: Updated MR TREs were 1.66 ± 0.27 and 1.92 ± 0.49 mm in the 14 cases after dural opening and after partial resection, respectively, compared to 8.48 ± 3.74 and 8.77 ± 4.61 mm for pMR, respectively. The overall computational time for generating uMRs after partial resection was less than 10 min. CONCLUSION: We have developed an image-updating system to compensate for brain deformation during resection using a computational model with data assimilation of displacements measured with intraoperative stereovision imaging that maintains TREs less than 2 mm on average.