Article

LIGHT-SENSITIVE VISUALIZATION OF MULTIMODAL DATA FOR NEUROSURGICAL APPLICATIONS.

Department of Diagnostic Radiology, Yale University, New Haven, CT.
Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging 06/2010; 2010(14-17 April 2010):884-887. DOI:10.1109/ISBI.2010.5490128 pp.884-887
Source: PubMed

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.

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Keywords

appropriately enhances
 
conditions
 
enhanced visualization techniques
 
image-guided neurosurgery
 
multimodal visualizations
 
real time navigation
 
regular visualizations
 
suboptimal conditions
 
surgical environment
 
visualization