Document Detail


Three-dimensional path planning for virtual bronchoscopy.
MedLine Citation:
PMID:  15554125     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
A P Kiraly; J P Helferty; E A Hoffman; G McLennan; W E Higgins
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Publication Detail:
Type:  Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.; Validation Studies    
Journal Detail:
Title:  IEEE transactions on medical imaging     Volume:  23     ISSN:  0278-0062     ISO Abbreviation:  IEEE Trans Med Imaging     Publication Date:  2004 Nov 
Date Detail:
Created Date:  2004-11-19     Completed Date:  2005-02-10     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8310780     Medline TA:  IEEE Trans Med Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1365-79     Citation Subset:  IM    
Affiliation:
Siemens Corporate Research, Princeton, NJ 08540, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Artificial Intelligence
Bronchial Diseases / pathology,  radiography,  surgery
Bronchography / methods*
Bronchoscopy / methods*
Humans
Imaging, Three-Dimensional / methods*
Lung Neoplasms / pathology,  radiography*,  surgery
Pattern Recognition, Automated / methods
Radiographic Image Enhancement / methods
Radiographic Image Interpretation, Computer-Assisted / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Subtraction Technique
Surgery, Computer-Assisted / methods*
User-Computer Interface*
Grant Support
ID/Acronym/Agency:
CA-74325/CA/NCI NIH HHS; CA-91534/CA/NCI NIH HHS; HL-064368/HL/NHLBI NIH HHS; RR11800/RR/NCRR NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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