Path Planning for Virtual Bronchoscopy

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2006Publisher:IEEEJournal:2006 International Conference of the IEEE Engineering in Medicine and Biology Society

Authors: Mohamadreza Negahdar; Alireza Ahmadian; Nassir Navab; Kavous Firouznia;

doi: 10.1109/iembs.2006.259954

pmid: 17946384

Path Planning for Virtual Bronchoscopy

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Abstract

We have developed an automated path planning method, which enables virtual bronchoscopic 3D multidetector computed tomography (MDCT) image analysis and follow on image-guided bronchoscopy. The method fundamentals are novel combination of distance transformation and snake-based models. The computation time of our algorithm is faster than similar works and there were no missing or false branches in the final path of airways. The planned path is suitable for quantitative airway analysis and smooth virtual navigation.

Related Organizations

Tehran University of Medical Sciences
Iran (Islamic Republic of)
Pharmaceutical Sciences Research Center
Iran (Islamic Republic of)
University of Tehran
Iran (Islamic Republic of)

Keywords

Lung Neoplasms, Phantoms, Imaging, Reproducibility of Results, Sensitivity and Specificity, Pattern Recognition, Automated, Radiographic Image Enhancement, Imaging, Three-Dimensional, Artificial Intelligence, Bronchoscopy, Humans, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Algorithms

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