Segmentation of CT Brain Stroke Image using Marker Controlled Watershed

被引：5
|
作者：
Ajam, Mohammed [1 ]
Kanaan, Hussein [1 ]
Ayache, Mohammad [1 ]
el Khansa, Lina [1 ]
机构：
[1] Islamic Univ Lebanon Beirut, Dept Biomed Engn, Beirut, Lebanon
来源：
2019 FIFTH INTERNATIONAL CONFERENCE ON ADVANCES IN BIOMEDICAL ENGINEERING (ICABME) | 2019年
关键词：
Stroke; Ischemic; CT; Brain; Watershed; Segmentation; Minima; Maxima;
D O I：
10.1109/icabme47164.2019.8940346
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this paper, an algorithm is proposed to detect and segment ischemic stroke from CT brain images. Firstly, our proposed method starts by a preprocessing step contains skull bone striping and text removal from CT images, then the images are enhanced using median filter and histogram equalization. Next the watershed segmentation and Marker Controlled watershed methods is applied to detect the ischemic stroke. The experimental results show that Marker controlled watershed is better than the watershed due to over segmentation caused by the noise of the CT image. The over segmentation problem was resolved and succeeded to detect and segment the infarcted regions in the CT Ischemic stroke image that will help the non-radiologists identify the stroke visually.
引用
收藏
页码：160 / 163
页数：4
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