Volumetric texture modeling using dominant and discriminative binary patterns

Parmeet S. Bhatia; Amit Kale; Zhigang Peng

doi:10.1117/12.2512296

15 March 2019 Volumetric texture modeling using dominant and discriminative binary patterns

Parmeet S. Bhatia, Amit Kale, Zhigang Peng

Proceedings Volume 10949, Medical Imaging 2019: Image Processing; 109490H (2019) https://doi.org/10.1117/12.2512296
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Volumetric texture analysis is an import task in medical imaging domain and is widely used for characterizing tissues and tumors in medical volumes. Local binary pattern (LBP) based texture descriptors are quite successful for characterizing texture information in 2D images. Unfortunately, the number of binary patterns grows exponentially with number of bits in LBP. Hence its straightforward extension to 3D domain results in extremely large number of bit patterns that may not be relevant for subsequent tasks like classification. In this work we present an efficient extension of LBP for 3D data using decision tree. The leaves of this tree represent texture words whose binary patterns are encoded using the path being followed from the root to reach the leaf. Once trained, this tree is used to create histogram in bag-of-words fashion that can be used as texture descriptor for whole volumetric image. For training, each voxel is converted into a 3D LBP pattern and is assigned the label of it’s corresponding volumetric image. These patterns are used in supervised fashion to construct decision tree. The leaves of the corresponding tree are used as texture descriptor for downstream learning tasks. The proposed texture descriptor achieved state of the art classification results on RFAI database 1. We further showed its efficacy on MR knee protocol classification task where we obtained near perfect results. The proposed algorithm is extremely efficient, computing texture descriptor of typical MRI image in less than 100 milliseconds.

Conference Presentation

Citation Download Citation

Parmeet S. Bhatia, Amit Kale, and Zhigang Peng "Volumetric texture modeling using dominant and discriminative binary patterns", Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 109490H (15 March 2019); https://doi.org/10.1117/12.2512296

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

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