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Brain Tumor Segmentation to Calculate Percentage Tumor Using MRI

机译:脑肿瘤分割以使用MRI计算肿瘤百分比

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Brain tumor is one of disease type that attacks the brain in the form of clots. There is a way to see brain tumor in detail requires by an MRI image. There is difficulty in distinguishing brain tumor tissue from normal tissue because of the similar color. Brain tumor must be analyzed accurately. The solution for analyze brain tumor is doing segmentation. Brain tumor segmentation is done to separate brain tumor tissue from other tissues such as fat, edema, normal brain tissue and cerebrospinal fluid to overcome this difficulty, The MRI image must be maintained at the edge of the image first with the median filtering. Then the tumor segmentation process requires thresholding method which is then iterated to take the largest area. The brain segmentation is done by giving a mark on the area of the brain and areas outside the brain using watershed method then clearing skull with cropping method. In this study, 14 brain tumor MRI images are used. The segmentation results are compared brain tumors area and brain tissues area. This system obtained the calculation of tumor area has an average error of 10%.
机译:脑肿瘤是一种以凝块形式攻击大脑的疾病。有一种方法可以通过MRI图像详细查看脑部肿瘤。由于颜色相似,很难将脑肿瘤组织与正常组织区分开。脑肿瘤必须准确分析。分析脑肿瘤的解决方案是进行分割。进行脑肿瘤分割以将脑肿瘤组织与其他组织(例如脂肪,水肿,正常脑组织和脑脊液)分开,以克服这一困难。必须首先通过中值过滤将MRI图像保持在图像的边缘。然后,肿瘤分割过程需要阈值化方法,然后将其迭代以占据最大面积。通过使用分水岭方法在大脑区域和大脑外部区域上进行标记,然后使用裁剪方法清除颅骨来进行大脑分割。在这项研究中,使用了14张脑肿瘤MRI图像。比较分割结果,比较脑肿瘤面积和脑组织面积。该系统获得的肿瘤面积的计算平均误差为10%。

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