Computer-Based Route-Definition System for Peripheral Bronchoscopy.

Multi-detector computed tomography (MDCT) scanners produce high-resolution images of the chest. Given a patient's MDCT scan, a physician can use an image-guided intervention system to first plan and later perform bronchoscopy to diagnostic sites situated deep in the lung periphery. An accurate defin...

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Publicado en:Journal of Digital Imaging Vol. 25; no. 2; pp. 307 - 318
Autores principales: Graham, Michael, Gibbs, Jason, Higgins, William
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Apr2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2012
      vid: 25
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      pub: Springer Nature
      place: New York, New York
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        atl: Computer-Based Route-Definition System for Peripheral Bronchoscopy.
      aug:
        au:
          Graham, Michael
          Gibbs, Jason
          Higgins, William
        affil: Department of Electrical Engineering, Penn State University, University Park, Pennsylvania 16802 USA
      sug:
        subj:
          Bronchoscopy Methods
          User-Computer Interface
          Radiography, Interventional
          Human
          Bronchi Radiography
          Diagnostic Imaging Utilization
          Funding Source
      ab: Multi-detector computed tomography (MDCT) scanners produce high-resolution images of the chest. Given a patient's MDCT scan, a physician can use an image-guided intervention system to first plan and later perform bronchoscopy to diagnostic sites situated deep in the lung periphery. An accurate definition of complete routes through the airway tree leading to the diagnostic sites, however, is vital for avoiding navigation errors during image-guided bronchoscopy. We present a system for the robust definition of complete airway routes suitable for image-guided bronchoscopy. The system incorporates both automatic and semiautomatic MDCT analysis methods for this purpose. Using an intuitive graphical user interface, the user invokes automatic analysis on a patient's MDCT scan to produce a series of preliminary routes. Next, the user visually inspects each route and quickly corrects the observed route defects using the built-in semiautomatic methods. Application of the system to a human study for the planning and guidance of peripheral bronchoscopy demonstrates the efficacy of the system.
      pubtype: Academic Journal
      doctype:
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        research
        tables/charts
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      ougenre: Article
    language: English
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