Detection of lung nodules in thoracic MDCT images based on temporal changes from previous and current images

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volumn 15, Issue 6, 2011, Pages 707-713

  Maeda, Shinya ^a   Tomiyama, Yasuyuki ^a   Kim, Hyoungseop ^a   Miyake, Noriaki ^a   Itai, Yoshinori ^a   Kooi Tan, Joo ^a   Ishikawa, Seiji ^a   Yamamoto, Akiyoshi ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Computer aided diagnosis; Lung nodule detection; MDCT; Medical imaging; Temporal subtraction method

Indexed keywords

EID: 80051941017     PISSN: 13430130     EISSN: 18838014     Source Type: Journal    
DOI: 10.20965/jaciii.2011.p0707     Document Type: Conference Paper

References (11)

1. K. Doi, "Current status and future potential of computer-aided diagnosis in medical imaging," British J. Rad., Vol.78, pp. S3-S19, 2005. (Pubitemid 40932502)
2. J. Y. Wei, Y. Hagihara, A. Shimidzu et al., "Optimal image feature set for detecting lung nodules on chest X-ray image," Proc. of the CARS, pp. 706-711, 2002.
3. Y. Lee, T. Hara, H. Fujita et al., "Automatic detection of pulmonary nodules in helical CT images based on an improved templatematching technique," IEEE Trans. Med. Imaging, Vol.20, pp. 595-604, 2001. (Pubitemid 32697978)
4. X. Zhang, G. McLennan, E. A. Hoffman et al., "Automated detection of small-size pulmonary nodules on helical CT images," Proc. of Int. Conf. on Information Proc. in Medical Imaging., pp. 664-676, 2005. (Pubitemid 41425354)
5. S. Kakeda, K. Kamada, and Y. Hatakeyama, "Effect of temporal subtraction on interpretation time and diagnostic accuracy of chest radiography," American J. of Roenteenology, Vol.187, No.5, pp. 1253-1259, 2006. (Pubitemid 44630829)
6. Y. Itai, H. Kim, S. Ishikawa et al., "3D elastic matching for temporal subtraction employing thorax MDCT image," Proc. of the World Congress on Medical Physics and Biomedical Engineering., pp. 2181-2191, 2006.
7. Y. Itai, H. Kim, S. Ishikawa et al., "Development of a voxel matching technique for substantial reduction of subtraction artifacts in temporal subtraction images obtained from thoracic MDCT," J. of Digital Imaging, Vol.23, No.1, pp. 32-38, 2010.
8. N. Miyake, H. Kim, Y. Itai et al., "Automatic detection of lung nodules in temporal subtraction image by use of shape and density features," Int. Conf. on Innovative Computing, Information and Control, CD-ROM (4 pages), 2009.
9. Q. Li, S. Sone, and K. Doi, "Selective enhancement filters for nodules, vessels and airway walls in two- and three-dimensional CT scans," Med. Phys., Vol.30, pp. 2040-2051, 2003. (Pubitemid 37022011)
10. H. Kobatake, W. Jun, and Y. Hagihara, "Nonlinear adaptive filters based on gradient vector orientation," Prog. of Int. Simp. on Nonlinear Theory and its Applications, pp. 533-556, 1999.
11. J.Wang, R. Englman, and Q. Li, "Segmentation of pulmonary nodules in three-dimentional CT images by use of a spiral-scanning technique," Med, Phys., Vol.34, No.12, pp. 4678-4689, 2007. (Pubitemid 350197706)