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首页> 外文会议>International Conference on Advanced Technologies for Signal and Image Processing >A comparative study of MRI contrast enhancement techniques based on Traditional Gamma Correction and Adaptive Gamma Correction: Case of multiple sclerosis pathology
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A comparative study of MRI contrast enhancement techniques based on Traditional Gamma Correction and Adaptive Gamma Correction: Case of multiple sclerosis pathology

机译：基于传统伽玛校正和自适应伽玛校正的MRI对比增强技术的比较研究：多发性硬化症的病例

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摘要

One of the most important preprocessing techniques is image Contrast Enhancement which is a technique that improve visual quality of an input image becoming more suitable for human analysis and perception. Numerous researches have been already developed for enhancement of Medical image for their important application, Traditional Gamma Correction is found to be one of the simplest technique for the contrast enhancement of medical image. This technique uses a set of varying parameter (y, c) which adjust effectively gray value intensity of the input image. Otherwise, Adaptive Gamma Correction technique have been appeared and have been proved its effectiveness by the use of adaptive (y, c) parameter which are determined adaptively from statistical information of input image. Traditional Gamma Correction (TGC) and Adaptive Gamma Correction (AGC) have been applied on three brain MRI modalities for patient with Multiple Sclerosis pathology. Qualitative and quantitative results are presented to illustrate the comparison of TGC and AGC to enhance the contrast of MRI images for better appearance of normal tissue and diseased tissue affected by MS pathology.
机译：最重要的预处理技术之一是图像对比度增强，它是一种改善输入图像的视觉质量，变得更适合于人类分析和感知的技术。为了增强医学图像的重要应用，已经进行了许多研究。传统的伽玛校正被认为是医学图像对比度增强的最简单的技术之一。此技术使用一组可变参数（y，c），可有效调整输入图像的灰度值强度。否则，出现了自适应伽玛校正技术，并通过使用根据输入图像的统计信息自适应确定的自适应（y，c）参数证明了其有效性。对于患有多发性硬化症的患者，传统的伽玛校正（TGC）和自适应伽玛校正（AGC）已应用于三种脑部MRI方式。给出定性和定量结果以说明TGC和AGC的比较，以增强MRI图像的对比度，从而使正常组织和受MS病理影响的患病组织的外观更好。

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