Trabecular bone texture classification using wavelet leaders

Zilong Zou; Jie Yang; Vasileios Megalooikonomou; Rachid Jennane; Erkang Cheng; Haibin Ling

doi:10.1117/12.2216452

29 March 2016 Trabecular bone texture classification using wavelet leaders

Zilong Zou, Jie Yang, Vasileios Megalooikonomou, Rachid Jennane, Erkang Cheng, Haibin Ling

Author Affiliations +

Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 97880E (2016) https://doi.org/10.1117/12.2216452
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

In this paper we propose to use the Wavelet Leader (WL) transformation for studying trabecular bone patterns. Given an input image, its WL transformation is defined as the cross-channel-layer maximum pooling of an underlying wavelet transformation. WL inherits the advantage of the original wavelet transformation in capturing spatial-frequency statistics of texture images, while being more robust against scale and orientation thanks to the maximum pooling strategy. These properties make WL an attractive alternative to replace wavelet transformations which are used for trabecular analysis in previous studies. In particular, in this paper, after extracting wavelet leader descriptors from a trabecular texture patch, we feed them into two existing statistic texture characterization methods, namely the Gray Level Co-occurrence Matrix (GLCM) and the Gray Level Run Length Matrix (GLRLM). The most discriminative features, Energy of GLCM and Gray Level Non-Uniformity of GLRLM, are retained to distinguish two different populations between osteoporotic patients and control subjects. Receiver Operating Characteristics (ROC) curves are used to measure performance of classification. Experimental results on a recently released benchmark dataset show that WL significantly boosts the performance of baseline wavelet transformations by 5% in average.

Citation Download Citation

Zilong Zou, Zilong Zou, Jie Yang, Jie Yang, Vasileios Megalooikonomou, Vasileios Megalooikonomou, Rachid Jennane, Rachid Jennane, Erkang Cheng, Erkang Cheng, Haibin Ling, Haibin Ling, "Trabecular bone texture classification using wavelet leaders", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97880E (29 March 2016); doi: 10.1117/12.2216452; https://doi.org/10.1117/12.2216452

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years