A method for segmenting bronchial trees from 3D chest X-ray CT images

Lecture Notes in Computer Science

Volumn 2879, Issue PART 2, 2003, Pages 603-610

  Kitasaka, Takayuki ^a   Mori, Kensaku ^a   Suenaga, Yasuhito ^a   Hasegawa, Jun Ichi ^b   Toriwaki, Jun Ichiro ^b  

^a NAGOYA UNIVERSITY   (Japan)

^b CHUKYO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIFURCATION (MATHEMATICS); EXTRACTION; INTERPOLATION; PULMONARY DISEASES; TREES (MATHEMATICS); TUMORS; MEDICAL COMPUTING; MEDICAL IMAGING; RESPIRATORY SYSTEM;

CT IMAGES; EXTRACTION ACCURACY; THRESHOLD VALUE; VOLUMES OF INTEREST (VOI); CHEST X-RAY CT IMAGES; CONSTANT THRESHOLD; EXTRACTION PROCESS; REGION GROWING METHODS; STRUCTURAL FEATURE; THRESHOLD-VALUE; VOLUMES OF INTERESTS;

MEDICAL IMAGING; COMPUTERIZED TOMOGRAPHY;

EID: 11244249428     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39903-2_74     Document Type: Conference Paper

References (6)

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3. M. Sonka et al.: Rule-based detection of intrathoracic airway trees, IEEE Trans. on Medical Imaging, 15, 3, pp. 314-326, 1996.
4. F. Iseki et al.: Extraction of 3D tree structure of blood vessels in lung area from chest CT images, Proc. of CAR'98, pp. 45-50, 1998.
5. Y. L. Tsui et al.: Automated extraction of bronchus from 3D CT images of lung based on generic algorithm and 3D region growing, Proc. of SPIE on Medical Imaging 2000, 3979, pp. 906-916, 2000.
6. T. Schlathoelter et al.: Simultaneous segmentation and tree reconstruction of the airways for virtual bronchoscopy, Proc. of SPIE on Medical Imaging 2002, 4684, pp. 103-113, 2002.