Light-sensitive visualization of multimodal data for neurosurgical applications

Authors:
A. Joshi;A. Papanastassiou;K. P. Vives;D. D. Spencer;L. H. Staib;X. Papademetris
Affiliations:
Department of Diagnostic Radiology, Yale University, New Haven, CT;Neurosurgery, Yale University, New Haven, CT;Neurosurgery, Yale University, New Haven, CT;Neurosurgery, Yale University, New Haven, CT;Department of Diagnostic Radiology, Yale University, New Haven, CT and Biomedical Engineering, Yale University, New Haven, CT and Electrical Engineering, Yale University, New Haven, CT;Department of Diagnostic Radiology, Yale University, New Haven, CT and Biomedical Engineering, Yale University, New Haven, CT
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

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Abstract

We present a technique for enhancing multimodal visualizations for image-guided neurosurgery in the presence of adverse lighting conditions. In the surgical environment, images used for real time navigation are displayed in suboptimal conditions due to the varying lighting conditions. Our approach actively monitors the incoming light on the display and appropriately enhances the visualization based on the change in light. Based on the results of a user study to evaluate our approach, we found that our enhanced visualization techniques were mostly preferred over regular visualizations.