Robustness of local binary patterns in brain MR image analysis

Ünay, Devrim and Ekin, Ahmet and Çetin, Müjdat and Jasinschi, Ragu and Erçil, Aytül (2007) Robustness of local binary patterns in brain MR image analysis. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lyon, France

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The aging population in developed countries has shifted considerable research attention to diseases related to age. Because age is one of the highest risk factors for neurodegenerative diseases, the need for automated brain image analysis has significantly increased. Magnetic Resonance Imaging (MRI) is a commonly used modality to image brain. MRI provides high tissue contrast; hence, the existing brain image analysis methods have often preferred the intensity information to others, such as texture. Recently, an easy-tocompute texture descriptor, Local Binary Pattern (LBP), has shown promise in various applications outside the medical field. In this paper, after extensive experiments, we show that rotation-invariant LBP is invariant to some common MRI artifacts that makes it possible to use it in various high-level brain MR image analysis applications.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Müjdat Çetin
Date Deposited: 30 Oct 2007 19:11
Last Modified: 26 Apr 2022 08:43

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