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Three-dimensional path planning for virtual bronchoscopy
Journal article   Peer reviewed

Three-dimensional path planning for virtual bronchoscopy

A.P Kiraly, J.P Helferty, E.A Hoffman, G McLennan and W.E Higgins
IEEE transactions on medical imaging, Vol.23(11), pp.1365-1379
11/2004
DOI: 10.1109/TMI.2004.829332
PMID: 15554125

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Abstract

Multidetector computed-tomography (MDCT) scanners provide large high-resolution three-dimensional (3-D) images of the chest. MDCT scanning, when used in tandem with bronchoscopy, provides a state-of-the-art approach for lung-cancer assessment. We have been building and validating a lung-cancer assessment system, which enables virtual-bronchoscopic 3-D MDCT image analysis and follow-on image-guided bronchoscopy. A suitable path planning method is needed, however, for using this system. We describe a rapid, robust method for computing a set of 3-D airway-tree paths from MDCT images. The method first defines the skeleton of a given segmented 3-D chest image and then performs a multistage refinement of the skeleton to arrive at a final tree structure. The tree consists of a series of paths and branch structural data, suitable for quantitative airway analysis and smooth virtual navigation. A comparison of the method to a previously devised path-planning approach, using a set of human MDCT images, illustrates the efficacy of the method. Results are also presented for human lung-cancer assessment and the guidance of bronchoscopy.
 3-D imaging Biomedical imaging Bronchoscopy Centerline analysis Cities and towns Computed tomography CT bronchography CT imaging High-resolution imaging Humans Image analysis image-guided surgery Navigation Path planning pulmonary imaging Skeleton virtual bronchoscopy virtual endoscopy

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