Paper
12 March 2014 Integration of intraoperative stereovision imaging for brain shift visualization during image-guided cranial procedures
Timothy J. Schaewe, Xiaoyao Fan, Songbai Ji, David W. Roberts, Keith D. Paulsen, David A. Simon
Author Affiliations +
Abstract
Dartmouth and Medtronic Navigation have established an academic-industrial partnership to develop, validate, and evaluate a multi-modality neurosurgical image-guidance platform for brain tumor resection surgery that is capable of updating the spatial relationships between preoperative images and the current surgical field. A stereovision system has been developed and optimized for intraoperative use through integration with a surgical microscope and an image-guided surgery system. The microscope optics and stereovision CCD sensors are localized relative to the surgical field using optical tracking and can efficiently acquire stereo image pairs from which a localized 3D profile of the exposed surface is reconstructed. This paper reports the first demonstration of intraoperative acquisition, reconstruction and visualization of 3D stereovision surface data in the context of an industry-standard image-guided surgery system. The integrated system is capable of computing and presenting a stereovision-based update of the exposed cortical surface in less than one minute. Alternative methods for visualization of high-resolution, texture-mapped stereovision surface data are also investigated with the objective of determining the technical feasibility of direct incorporation of intraoperative stereo imaging into future iterations of Medtronic’s navigation platform.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy J. Schaewe, Xiaoyao Fan, Songbai Ji, David W. Roberts, Keith D. Paulsen, and David A. Simon "Integration of intraoperative stereovision imaging for brain shift visualization during image-guided cranial procedures", Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 90360X (12 March 2014); https://doi.org/10.1117/12.2043757
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KEYWORDS
Visualization

3D modeling

Data modeling

Image-guided intervention

3D image processing

Microscopes

Brain

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