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...

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Publicado en:Journal of Digital Imaging Vol. 25; no. 6; pp. 792 - 802
Autores principales: Kirmizibayrak, Can, Yim, Yeny, Wakid, Mike, Hahn, James
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Dec2012
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Interactive Visualization and Analysis of Multimodal Datasets for Surgical Applications.
      aug:
        au:
          Kirmizibayrak, Can
          Yim, Yeny
          Wakid, Mike
          Hahn, James
      sug:
        subj:
          Surgery, Operative
          Data Display
          Diagnostic Imaging
          Radiographic Image Enhancement Methods
          Therapy, Computer Assisted
          User-Computer Interface
          Evaluation Research
          Sample Size
          Human
          Funding Source
      ab: 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.
      pubtype: Academic Journal
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        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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