Email this article Classification of lung nodules using CT images based on texture features and fractal dimension transformation
- Authors: Kravchenko V.F.1,2,3, Ponomaryov V.I.4, Pustovoit V.I.2, Rendon-Gonzalez E.4
-
Affiliations:
- Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences
- Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences
- Bauman Moscow State Technical University
- Instituto Politecnico Nacional
- Issue: Vol 485, No 5 (2019)
- Pages: 558-563
- Section: Informatics
- URL: https://journals.eco-vector.com/0869-5652/article/view/14295
- DOI: https://doi.org/10.31857/S0869-56524855558-563
- ID: 14295
Cite item
Full Text
Abstract
A new computer-aided detection (CAD) system for lung nodule detection and selection in computed tomography scans is substantiated and implemented. The method consists of the following stages: preprocessing based on threshold and morphological filtration, the formation of suspicious regions of interest using a priori information, the detection of lung nodules by applying the fractal dimension transformation, the computation of informative texture features for identified lung nodules, and their classification by applying the SVM and AdaBoost algorithms. A physical interpretation of the proposed CAD system is given, and its block diagram is constructed. The simulation results based on the proposed CAD method demonstrate advantages of the new approach in terms of standard criteria, such as sensitivity and the false-positive rate.
Keywords
About the authors
V. F. Kravchenko
Kotelnikov Institute of Radio Engineering and Electronics of the Russian Academy of Sciences; Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences; Bauman Moscow State Technical University
Author for correspondence.
Email: kvf-ok@mail.ru
Russian Federation, 11-7, Mokhovaya street, Moscow, 125009; 15, Bytlerova street, Moscow, 117342; 5, 2-nd Baumanskaya, Moscow, 105005
V. I. Ponomaryov
Instituto Politecnico Nacional
Email: vponomar@ipn.mx
Mexico, 102, Macayo, Villahermosa, 86020
V. I. Pustovoit
Scientific and Technological Centre of Unique Instrumentation of the Russian Academy of Sciences
Email: kvf-ok@mail.ru
Academician of the Russian Academy of Sciences
Russian Federation, 15, Bytlerova street, Moscow, 117342E. Rendon-Gonzalez
Instituto Politecnico Nacional
Email: kvf-ok@mail.ru
Mexico, 102, Macayo, Villahermosa, 86020
References
- Zhao B., Gamsu G., Ginsberg M. S., Jiang L., Schwartz L. H. // J. Appl. Clin. Med. Phys. 2003. V. 4. P. 248-260.
- Valente I. R.S., Cortez P.C., Neto E. C., Soares J. M., de Albuquerque V. H.C., Tavares J. M.R.S. // Comput. Methods Programs Biomed. 2015. V. 124. P. 91-107.
- Tan M., Deklerck R., Jansen B., Bister M., Cornelis J. // Med. Phys. 2011. V. 38. № 10. P. 5630.
- Messay T., Hardie R.C., Tuinstra T.R. // Med. Image Anal. 2015. V. 22. № 1. P. 48-62.
- Kravchenko V., Meana H., Ponomaryov V. Adaptive Digital Processing of Multidimensional Signals with Applications. Moscow: Fizmatlit, 2009. P. 360.
- El-Baz A., Elnakib A., Abou El-Ghar M., Gimel’farb G., Falk R., Farag A. // Int. J. Biomed. Imaging. 2013. P. 1-11.
- Dehmeshki J., Amin H., Valdivieso M., Ye X. // IEEE Trans. Med. Imaging. 2008. V. 27. № 4. P. 467-480.
- Cascio D., Magro R., Fauci F., Iacomi M., Raso G. // Comput. Biol. Med. 2012. V. 42. № 11. P. 1098-1109.
- McKee B.J., Regis S. M., McKee A.B., Flacke S., Wald C. // J. Amer. Coll. Radiol. 2015. V. 12. P. 273-276.
- Armato III S.G., Hadjiiski L., Tourassi G. D., Drukker K., Giger M. L., Li F., Redmond G., Farahani K., Kirby J. S., Clarke L. P. // J. Med. Imaging. 2015. V. 2. № 2. P. 1-5.
- Vasconcelos V., Barroso J., Marques L., Silvestre J. // Biom. Res. Int. 2015. P. 1-9.
- Al-Kadi O.S., Watson D. // IEEE Trans. Biomed. Eng. 2008. V. 55. № 7. P. 1822-1830.
- Haralick R. M., Shanmugam K., Dinstein I. // IEEE Trans. Syst. Man. Cybern. 1973. V. 3. № 6. P. 610-621.
- Ming-Kuei Hu. // IRE Trans. Inf. Theory. 1962. V. 8. № 2. P. 179-187.
- Rendon-Gonzalez E., Ponomaryov V. In: 9th Int IEEE Kharkiv Symp. Phys. Eng. MSMW. Kharkiv, 2016. P. 1-4.
Supplementary files
