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Interactive Visualization and Analysis of Multimodal Datasets for Surgical Applications


Surgeons use information from multiple sources when making surgical decisions. These include volumetric datasets (such as CT, PET, MRI, and their variants), 2D datasets (such as endoscopic videos), and vector-valued datasets (such as computer simulations). Presenting all the information to the user in an effective manner is a challenging problem. In this paper, we present a visualization approach that displays the information from various sources in a single coherent view. The system allows the user to explore and manipulate volumetric datasets, display analysis of dataset values in local regions, combine 2D and 3D imaging modalities and display results of vector-based computer simulations. Several interaction methods are discussed: in addition to traditional interfaces including mouse and trackers, gesture-based natural interaction methods are shown to control these visualizations with real-time performance. An example of a medical application (medialization laryngoplasty) is presented to demonstrate how the combination of different modalities can be used in a surgical setting with our approach.

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This work was supported by NIH grant R01 DC007125 to develop computer-based tools for medialization laryngoplasty. The authors would like to thank Dr. Steven Bielamowicz for his help and informative discussions for application of our methods to otolaryngology, and Dr. Rajat Mittal and Qian Xue for providing the CFD simulation datasets.

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Correspondence to Can Kirmizibayrak.

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Kirmizibayrak, C., Yim, Y., Wakid, M. et al. Interactive Visualization and Analysis of Multimodal Datasets for Surgical Applications. J Digit Imaging 25, 792–801 (2012).

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  • Volume visualization
  • Human–computer interaction
  • Volume rendering
  • Image-guided surgery