Lung area extraction from 3D chest X-ray CT images using a shape model generated by a variable Bézier surface

Systems and Computers in Japan

Volumn 34, Issue 4, 2003, Pages 60-71

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

^a NAGOYA UNIVERSITY   (Japan)

^b CHUKYO UNIVERSITY   (Japan)

Author keywords

3D chest X ray CT images; Active contour model; B zier surface; Lung area extraction; Shape model

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; EDGE DETECTION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MATHEMATICAL TRANSFORMATIONS; RESPIRATORY SYSTEM; THREE DIMENSIONAL COMPUTER GRAPHICS; X RAY RADIOGRAPHY;

ACTIVE CONTOUR MODEL; BEZIER SURFACE; LUNG AREA EXTRACTION METHODS; SHAPE MODEL;

COMPUTERIZED TOMOGRAPHY;

EID: 0037386177     PISSN: 08821666     EISSN: None     Source Type: Journal    
DOI: 10.1002/scj.1201     Document Type: Article

References (17)

1. Yamamoto S, Tanaka I, Senda M, Tateno Y, Iinuma T, Matsumoto T, Matsumoto M. Image processing for computer-aided diagnosis in the lung cancer screening system by CT (LSCT). Trans IEICE 1993:J76-D-II:250-260.
2. Kawata Y, Niki N, Ohmatsu H, Eguchi K, Moriyama N. Quantitative diagnostic aid of lung cancer by shape analysis of lung lesions using thin-section CT images. Chest CT Screening 1997:4:192-195.
3. Ukai H, Kanazawa K, Kawata Y, Niki N, Satoh H, Ohmatsu H., Kakinuma R, Eguchi K, Kaneko, M. Moriyama N. Lung cancer diagnosis support system using helical CT images. Proc JAMIT Frontier '99 (Japan Association of Medical Imaging Technology), p 207-212.
4. Nishimura O, Masutoh N, Jiang H, Yamamoto S, Matsumoto M, Tateno Y, Iinuma T, Matsumoto T. Diagnosis support system for lung cancer screening CT (LSCT). Proc JAMIT Frontier '99 (Japan Association of Medical Imaging Technology), p 237-241.
5. Hasegawa J, Mori K, Toriwaki J, Anno H, Katada K. Automated extraction of lung cancer lesions from multi-slice chest CT images by using three-dimensional image processing. Trans IEICE 1993:J76-D-II:1578-1594.
6. Kanazawa K, Kawata Y, Niki N, Satoh H, Ohmatsu H, Kakinuma R, Kaneko M, Moriyama N, Eguchi K. Computer-aided diagnosis for pulmonary nodules based on helical CT images. Computerized Medical Imaging and Graphics 1998;22:157-167.
7. Endoh T, Mori K, Hasegawa J, Toriwaki J, Anno H, Katada K. Automated extraction of lung area using rib cage structure in 3-D chest X-ray CT images. Trans IEICE J81-D-II:1429-1438.
8. Mori K, Oka S, Hasegawa J, Toriwaki J, Anno H, Katada K. Automated extraction of lung area from 3D chest CT images using active balloon model. Med Imaging Technol 1996;14:403-404 (SpecialIssue of the 15th National Conference of the Japanese Society of Medical Imaging Technology).
9. Okumura T, Matsumoto S, Matsumoto M, Tateno Y, Iinuma T, Matsumoto T. Lung area extraction from chest X-ray CT images using active cylinder model. Med Imaging Technol 1998:16:61-71.
10. Kass M, Witkin A, Terzopoulos D. Snakes: Active contour models. Int J Comput Vision 1988;1:321-331.
11. Kuhl FP, Giardina CR. Elliptic Fourier features of a closed contour. CVGIP 1982;18:236-258.
12. Szekely G, Keleman A, Brechbudie;hler C, Gerig G. Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models. Med Image Anal 1996;1:19-34.
13. Lobregt S, Viergever MA. A discrete dynamic contour model. IEEE Trans Med Imaging 1995;14:12-24.
14. Goshtasby A, Turner DA. Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers. IEEE Trans Med Imaging 1995;14:56-64.
15. Toriwaki J, Mori K. Recent progress in medical image processing - Virtualized human body and computer-aided-surgery. IEICE Trans Inf Syst 1999;E82-D:611-628.
16. Mori K, Hasegawa J, Toriwaki J, Anno H, Katada K. Automated extraction and visualization of bronchus from 3D images of lung. Proc 1st Computer Vision, Virtual Reality and Robotics in Medicine, p 542-548, 1995.
17. Kitasaka T, Mori K, Hasegawa J, Suenaga Y, Toriwaki J. Lung area extraction from 3D chest X-ray CT images using variable shape model. Proc Symposium on Medical Image Recognition and Understanding. (MIRU '98), II, p 213-218.