Lung lobe and segmental lobe extraction from 3D chest CT datasets based on figure decomposition and Voronoi division

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6914, Issue , 2008, Pages

  Mori, Kensaku ^a   Nakada, Yuichi ^a   Kitasaka, Takayuki ^a   Suenaga, Yasuhito ^a   Takabatake, Hirotsugu ^b   Mori, Masaki ^c   Natori, Hiroshi ^d  

^a NAGOYA UNIVERSITY   (Japan)

^b Sapporo Minami Sanjo Hospital   (Japan)

^c 5 N3E8   (Japan)

^d Keiwakai Nishioka Hospital   (Japan)

Author keywords

Chest CT; Figure decomposition; Lung; Lung lobe; Segmental lobe

Indexed keywords

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; EIGENVALUES AND EIGENFUNCTIONS; IMAGE SEGMENTATION;

FIGURE DECOMPOSITION; LUNG LOBE; SEGMENTAL LOBE;

BIOLOGICAL ORGANS;

EID: 43449124128     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.773281     Document Type: Conference Paper

References (11)

1. Zhang L., Hoffman E.A., Reinhardt J,M.. Lung lobe segmentation by graph search with 3-D shape constraints. Proc. of SPIE. 2001: 4321; 204-215.
2. Zhang L., Hoffman E.A., Reinhardt J.M. Atlas-driven lung lobe segmentation in volumetric x-ray CT images. Proc. of SPIE. 2003: 5031: 308-319
3. Kuhnigk J.M., Hahn H.K., Hindennach M., Dicken V., Krass S., Peitgen H.O., Lung lobe segmentation by anatomy-guided 3D watershed transform. Proc. of SPIE. 2003: 5032: 1482 - 1490.
4. Rikxoort E, Ginneken B. A pattern recognition approach to enhancing structures in 3D CT data. Proc. of SPIE. 2006; 6144; 6144-10-1-8
5. Sato Y, Westin CF, Bhalerao A, et al.. Tissue classification based on 3D local intensity structures for volume rendering. IEEE Trans, on Visualization and Computer Graphics. 2000; 6(2); 160-180.
6. Okada M, Yokoi S, Toriwaki J. A method for digital figure decomposition based on distance feature. IEICE Trans. On Information and System. 1991; J74-D-II; 698-707
7. Hirano Y, Kunimitsu K, Hasegawa J, Toriwaki J. A region growing method using hyper surface curvature and its application to extraction of blood vessel region from chest X-ray CT images. Journal of Computer Aided Diagnosis of Medical Images. 2003; 7(3); 1-10.
8. Saito T., Toriwaki J.I., New algorithms for Euclidean distance transformation of an n-dimensional digitized picture with applications. Pattern Recognition. 1994: 27(11): 1551-1565
9. Maurer CR, Jr, Qi R., Raghavan V. A Linear Time Algorithm for Computing Exact Euclidean Distance Transforms of Binary Images in Arbitrary Dimensions. IEEE Transactions on Pattern Analysis and Machine Intelligence archive. 2003; 25(2); 265-270.
10. Kitasaka T., Mori K., Hasegawa J., Toriwaki J. A Method for Extraction of Bronchus Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus, FORMA, 2002: 17(4): 321-338
11. Mori K., Ema S., Kitasaka T., Mekada Y., Ide I., Murase H., Suenaga Y., Takabatake H., Mori M., Natori H..Automated Nomenclature of Bronchial Branches Extracted from CT Images and Its Application to Biopsy Path Planning in Virtual Bronchoscopy. LNCS (MICCAI 2005), 2005: 3750: 854-861