False positive reduction in lung GGO nodule detection with 3D volume shape descriptor

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2007, Pages

  Yang, Ming ^b   Periaswamy, Senthil ^a   Wu, Ying ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Computer aided analysis; Computer vision; Lung nodule detection; Medical imaging; Shape descriptor

Indexed keywords

LUNG NODULE DETECTION; SHAPE DESCRIPTORS; SPATIAL HISTOGRAMS;

ADAPTIVE ALGORITHMS; COMPUTER AIDED ANALYSIS; COMPUTER VISION; COMPUTERIZED TOMOGRAPHY; HISTOLOGY; MEDICAL IMAGING;

BIOMEDICAL ENGINEERING;

EID: 34547541852     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366710     Document Type: Conference Paper

References (14)

1. M. Wolf and et al., "CAD performance analysis for pulmonary nodule detection on thin-slice, mdct scans," in CARS, June 2005.
2. B. van Ginneken, B.M.ter H. Romeny, and M.A. Viergever, "Computer-aided, diagnosis in chest radiography: A survey," IEEE Trans. Med. Imag., vol. 20, no. 12, pp. 1228-1241, dec. 2001.
3. Y.Lee, T.Hara, H. Fujita, S. Itoh, and T. Ishigaki, "Automated detection of pulmonary nodules inhelical CT images based on an improved template matching techniques," IEEE Trans. Med. Imag., vol. 20, no. 7, pp. 595-604, Jul. 2001.
4. M.S. Brown, M.F. McNitt-Gray, and et al., "Patient-specific models for lung nodule detection and surveillance in CT images," IEEE Trans. Med. Imag., vol. 20, no. 12, pp. 1242-1250, dec. 2001.
5. D.S. Paik, C.F. Beaulieu, and et al., "Surface normal overlap: A computer-aided detection algorithm with application to colonic polyps and lung nodules in helical ct," IEEE Trans. Med. Imag., vol. 23, no, 6, pp. 661-675, jun. 2004.
6. X. Lu, G. Wei, J. Qian, and A.K. Jain, "Learning-based pulmonary nodule detection from multislice CT data," in CARS, 2004.
7. P. Campadelli, E. Casiraghi, and G. Valentini, "Lung nodules detection and classification," in ICIP, sept. 2005, vol. 1, pp. 1117-1120.
8. J. Bi, S. Periaswarmy, K. Okada, T. Kubota, G. Fung, M. Salganicoff, and B. Rao, "Computer aided detection via asymmetric cascade of sparse hyperplane classifiers," in SIGKDD, Philadelphia, PA, Aug. 2006, pp. 837-844.
9. H.A. Bastawrous, T. Fukumoto, N. Nitta, and M. Tsudagawa, "Detection of ground glass opacities in lung Ct images using gabor filters and neural networks," in IMTC, May 2005, pp. 251-256.
10. C.I. Henschke and et al., "CT screening for lung cancer: Frequency and significance of part-solid and nonsold nodules," American Journal of Roentgenology, vol. 178, no. 5, pp. 1053-1057, 2002.
11. D.G. Lowe, "Distinctive image features from scale-invariant key-points," IJCV, vol. 60, no. 2, pp. 91-110, 2004.
12. A. Farag and et al., ''Detection and recognition of lung nodules in spiral CT images Using deformable templates and bayesian post-classification, " in ICIP, oct. 2002, vol. 5, pp.2921-2924.
13. L. Bogoni, J. Liang, and S. Periaswamy, "System and method for toboggan based object segmentation using divergent gradient field response in images," 2005, US patent: 20050185838.
14. C.-C. Chang and C-J. Lin, LIBSVM: a library, for suppoert vector machines, 2001, Software available at http://www.csie.ntu.edu.tw/~cjlin/ libsvm.