Object extraction from T2 weighted brain MR image using histogram based gradient calculation

Authors:
Ghulam Gilanie;Muhammad Attique; Hafeez-Ullah;Shahid Naweed;Ejaz Ahmed;Masroor Ikram
Affiliations:
Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Pakistan;Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Pakistan;Department of Physics and Applied Mathematics, Pakistan Institute of Engineering and Applied Sciences, Nilore, 45650 Islamabad, Pakistan and Department of Physics, Bahauddin Zakariya University, M ...;Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Pakistan;Department of Physics, Bahauddin Zakariya University, Multan, Pakistan;Department of Physics and Applied Mathematics, Pakistan Institute of Engineering and Applied Sciences, Nilore, 45650 Islamabad, Pakistan
Venue:
Pattern Recognition Letters
Year:
2013

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Abstract

Several segmentation methods have been reported with their own pros and cons. Here we proposed a method for object extraction from T2 weighted (T2) brain magnetic resonance (MR) images. The proposed method is purely based on histogram processing for gradient calculation. The proposed method utilizes the histogram filtering technique as a pre-processing. The primary brain areas; gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) are extracted out efficiently from 2D and 3D images. The method has been successfully implemented on human brain MR images obtained in clinical environment.