On mixed statistical moments of texture in ultrasound B-mode images


Authors: Jaromír Šrámek 1,2;  Jiřina Škorpíková 2
Authors‘ workplace: Department of Biophysics, Faculty of Medicine, Masaryk University Brno, Czech Republic 1;  Pathology, Hospital Jablonec n/N, Jablonec nad Nisou, Czech Republic 2
Published in: Lékař a technika - Clinician and Technology No. 2, 2013, 43, 13-16
Category: Original research

Overview

Texture is one of the most important propeties of ultrasound image. Because subjective evaluation of there is limited by the lack of capability of a natural language to rigorous description of texture, there are used a wide spectrum of texture descriptors. In the viewpoint of mathematics is texture of an object in the digital image generally a discrete stochastic process. Texture of the concrete object is thus the realization of this stochastic process. It shows, in some mathematical simplifications, of course, the possible way to compare of two textures. In this work, we analyzed the usefulness of mixed statistical moments of textured pattern in ultrasound image. The main result is that mixed moments may be useful to texture analysis of ultrasound images. A little bit surprising is relatively high sensitivity of mixed moments on anisotropy of ultrasound images.

Keywords:
medical ultrasound, texture analysis, statistical moments


Sources

[1] Azhari, H. Basics of ultrasound for engineers. John Wiley & Sons – IEEE Press, 2010 1st ed.

[2] Raeth, U., Schlaps, D., Limberg, B., et al. Diagnostic accuracy of computerized B-scan texture analysis and conventional ultrasonography in diffuse parenchymal and malignant liver disease. Journal of Clinical Ultrasound, 1985, vol. 13, p. 87-99

[3] Castellano, G., Bonilha, L., Li, L.M., Cendes, F. Texture analysis of medical images. Clinical Radiology, 2004, vol. 59, p.1061-1069.

[4] Gonzaes, R.C., Woods, R.E. Digital image processing. 3rd ed Pearson Pretice Hall 2008.

[5] Velho, L., Frery, A.C., Gomes, J. Image processing for computer graphics and vision. 2nd ed., Springer 2008.

[6] Shalizi, C. Continuity of stochastic processes. Url: http://www.stat.cmu.edu/~cshalizi/754/notes/lecture-07.pdf

[7] Dupač, V., Hušková,. M. Probability and mathematical statistics. Karolinum 2005 [in czech].

[8] Erol, B., Kara, T., Gürses, C. et al Gray scale histogram analysis of solid breast lesions with ultrasonography: can lesion echogenicity ratio be used to differentiate the malignancy? Clinical Imaging 2013 [8 July, in press].

[9] Sarti, A., Corsi, C., Mazzini, E., and Lamberti, C. Maximum likelihood segmentation of ultrasound images with Rayleigh distribution. IEEE Transations on Ultrasonics Ferroelectrics and Frequency Control, 2005, vol. 52, no. 6, p. 947-960.

[10] Manthalkar, R., Biswas, P.K., Chatterji B.N. Rotation invariant texture classification using even symmetric Gabor filters. Pattern Recognition Letters, 2003, vol. 24, p. 2061-2068.

Labels
Biomedicine
Login
Forgotten password

Don‘t have an account?  Create new account

Forgotten password

Enter the email address that you registered with. We will send you instructions on how to set a new password.

Login

Don‘t have an account?  Create new account