Rizi, F.Y. and Ahmadian, A. and Sahba, N. and Tavakoli, V. and Alirezaie, J. and Fatemizadeh, E. and Rezaie, N. (2008) A hybrid fuzzy based algorithm for 3D human airway segmentation. 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008. pp. 2295-2298.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 8; Conference of 2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 ; Conference Date: 16 May 2008 Through 18 May 2008; Conference Code:73341 |
| Uncontrolled Keywords: | 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 |
| Subjects: | WN Radiology. Diagnostic Imaging WF Respiratory System |
| Depositing User: | Arezoo Ghasemi siani |
| Date Deposited: | 25 Jan 2021 05:17 |
| Last Modified: | 25 Jan 2021 05:17 |
| URI: | http://eprints.iums.ac.ir/id/eprint/22887 |
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