3D CT-Video Fusion for Image-Guided Bronchoscopy

William E. Higgins, James P. Helferty, Kongkuo Lu, Scott A. Merritt, Lav Rai, Kun Chang Yu

Research output: Contribution to journalArticle

65 Scopus citations

Abstract

Bronchoscopic biopsy of the central-chest lymph nodes is an important step for lung-cancer staging. Before bronchoscopy, the physician first visually assesses a patient's three-dimensional (3D) computed tomography (CT) chest scan to identify suspect lymph-node sites. Next, during bronchoscopy, the physician guides the bronchoscope to each desired lymph-node site. Unfortunately, the physician has no link between the 3D CT image data and the live video stream provided during bronchoscopy. Thus, the physician must essentially perform biopsy blindly, and the skill levels between different physicians differ greatly. We describe an approach that enables synergistic fusion between the 3D CT data and the bronchoscopic video. Both the integrated planning and guidance system and the internal CT-video registration and fusion methods are described. Phantom, animal, and human studies illustrate the efficacy of the methods.

Original languageEnglish (US)
Pages (from-to)159-173
Number of pages15
JournalComputerized Medical Imaging and Graphics
Volume32
Issue number3
DOIs
Publication statusPublished - Apr 2008

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All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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