文章基本信息

标题：MR T1 Image Segmentation of a Prostate Based on Distance Regularized Level Set Evolution
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作者：Yong-de Zhang ; Jing-chun Peng ; Gang Liu 等
期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：7
页码：19-28
DOI：10.14257/ijhit.2016.9.7.03
出版社：SERSC
摘要：Prostate segmentation from MRI is a necessary first step and plays an important role in clinical decision making process. A MR T1 Image segmentation method of the prostate based on distance regularized level set evolution (DRLSE) is proposed. To smooth the prostate image to reduce the noise, a preprocessed prostate image with Gaussian kernel and get an edge indicator is convolved. We construct an energy function with a distance regularization term and an external energy term containing the edge indicator and minimize it by solving the gradient flow which can be implemented with a finite difference scheme. In segmentation experiments, the impact of parameters . , . , . and . in DRLSE model on the image segmentation is analyzed, and an optimal value of these parameters is given. The experiment results confirm the effectiveness of the MRI segmentation method of prostate for different situation of different patients.
关键词：Image segmentation; Prostate; Magnetic resonance imaging; Level set; ; Active contours model