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A hybrid fuzzy based algorithm for 3D human airway segmentation

Yousefi Rizi, F ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICBBE.2008.906
  3. Publisher: IEEE Computer Society , 2008
  4. Abstract:
  5. Segmentation of the human airway tree from volumetric computed tomography images is an important stage for many clinical applications such as virtual bronchoscopy. The main challenges of previously developed methods are to deal with two problems namely, leaking into the surrounding lung parenchyma during segmentation and the need to manually adjust the parameters. To overcome these problems, a multi-seeded fuzzy based region growing approach in conjuction with the spatial information of voxels is proposed. Comparison with a commonly used region growing segmentation algorithm shows that the proposed method retrieves more accurate results by achieving the specificity and sensitivity of 98.81% and 85.18%, respectively. The proposed algorithm needs no manually adjustment of parameters as well as any pre-filtering process, while leading to deliver the clinically accepted segmentation result with no leakage. © 2008 IEEE
  6. Keywords:
  7. Biocommunications ; Bioinformatics ; Biomedical engineering ; Boolean functions ; Computerized tomography ; Diagnostic radiography ; Information science ; Medical imaging ; Three dimensional ; Tomography ; Airway tree segmentation ; Fuzzy ; Region growing ; Spatial information ; Parameter estimation
  8. Source: 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008, Shanghai, 16 May 2008 through 18 May 2008 ; 2008 , Pages 2295-2298 ; 9781424417483 (ISBN)
  9. URL: https://ieeexplore.ieee.org/abstract/document/4535786