A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8670, Issue , 2013, Pages

  Han, Fangfang ^a,b   Wang, Huafeng ^a   Song, Bowen ^a   Zhang, Guopeng ^c   Lu, Hongbing ^c   Moore, William ^a   Zhao, Hong ^b   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b NORTHEASTERN UNIVERSITY   (China)

^c FOURTH MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Computer aided diagnosis; Curvature; Gradient; Gray level; Pulmonary nodules; Textural features

Indexed keywords

CURVATURE; GRADIENT; GRAY LEVELS; PULMONARY NODULES; TEXTURAL FEATURE;

COMPUTER AIDED DIAGNOSIS; IMAGE RETRIEVAL; INTERPOLATION; MEDICAL IMAGING; TEXTURES; THREE DIMENSIONAL COMPUTER GRAPHICS;

THREE DIMENSIONAL;

EID: 84878379202     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007252     Document Type: Conference Paper

References (10)

1. Ingrid Sluimer, Arnold Schilham, Mathias Prokop, and Bram van Ginneken, "Computer Analysis of Computed Tomography Scans of the Lung: A Survey," IEEE Trans. Medical Imaging, 25(4), 385-405 (2006).
2. Ye Xu, Michael C. Lee, Lilla Boroczky, et al., "Comparison of Image Features Calculated in Different Dimensions for Computer- Aided Diagnosis of Lung Nodules," Proc. SPIE Medical Imaging, 7260, 72600Z-1-8 (2009).
3. Ayman El-Baz, Matthew Nitzken, Fahmi Khalifa, et al., "3D Shape Analysis for Early Diagnosis of Malignant Lung Nodules," IPMI, LNCS 6801, 772-783 (2011).
4. Hajime Saito, Yoshihiro Minamiya, Hideki Kawai, et al., "Usefulness of circumference difference for estimating the likelihood of malignancy in small solitary pulmonary nodules on CT," Lung Cancer, 58, 348-354 (2007).
5. Armato SG III, McLennan G, Bidaut L, et al., "The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans," Medical Physics, 38, 915-931 (2011).
6. F. N. Fritsch and R. E. Carlson, "Monotone Piecewise Cubic Interpolation," SIAM. J. Numer. Anal., 17(2), 238-246 (1980).
7. S.K. Vijai Anand, "Segmentation and Coupled Textural Feature Classification for Lung Tumor Prediction," ICCCCT' 10, 518-524 (2010).
8. Robert M. Haralick, K. Shanmugam, and Its'Hak Dinstein, "Textural Features for Image Classification," IEEE Trans. Systems, Man, and Cybernetics, SMC-3(6), 610-621 (1973).
9. K. Engel, [Real-time volume Graphics], A K Peters, 112-114 (2006).
10. Frederick N. Fritsch and Robert E. Carlson, "Monotone Piecewise Cubic Interpolation," Society for Industrial and Applied Mathematics, 17(2), 238-246 (1980).