Brain Aneurysm Extraction in MRI Images

Rose Hafsah Abd. Rauf, N. A. Ghafar, N. Khalid
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Abstract

Medical image processing is the most demanding and emerging field which includes the processing of MRI images. Aneurysm can develop in any blood vessel in the body especially in the brain and abdominal aorta. In regards to brain aneurysm, it has been clarified that the MRI is a more preferable detection method to inspect this brain abnormality. This paper experiments MRI brain aneurysm images using image processing techniques in extracting a clearer image of the brain aneurysm. The method proposed includes preprocessing techniques and post processing techniques. Preprocessing techniques involves noise removal function and image enhancement function. The post processing techniques is segmentation and morphological function. All of these techniques are the basic concepts of image processing. Detection and extraction of brain aneurysm from MRI images of the brain is done by using MATLAB software.
MRI图像中的脑动脉瘤提取
医学图像处理是其中要求最高的新兴领域,其中包括核磁共振成像图像处理。动脉瘤可以在身体的任何血管中生长,尤其是在大脑和腹主动脉中。关于脑动脉瘤,已经明确MRI是检查这种脑异常的更优选的检测方法。本文利用图像处理技术对MRI脑动脉瘤图像进行实验,提取出更清晰的脑动脉瘤图像。该方法包括预处理技术和后处理技术。预处理技术包括去噪函数和图像增强函数。后期处理技术是分割和形态函数。所有这些技术都是图像处理的基本概念。利用MATLAB软件对脑MRI图像进行脑动脉瘤的检测和提取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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