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Designated Target Enhancement and Segmentation in Multi-spectral MR Images

机译:多光谱MR图像中的指定目标增强和分割

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The main objective of this study was to develop a new technique for MR Image segmentation that not only addresses the shortcomings of existing segmentation methods, but also preserves the advantages they offer, thus leading to high accuracy while segmenting the designated target from the MR image. The proposed method consists of two parts, first part is to enhance the contrast between the target and the background, and second part is to segment the target from images. In order to obtain accurate quantitative analysis and to confirm that the proposed method delivers excellent results for real MR images, experimental data were assigned into two groups: computer simulation and actual Breast MRIs. Finally, we compare the experimental results with those of several existing renowned image segmentation algorithms to confirm the advantages and contributions of the proposed method.
机译:本研究的主要目的是为MR图像分割开发一种新技术,不仅解决了现有分割方法的缺点,而且还可以保留它们所提供的优势,从而导致从MR图像分割指定目标的高精度。该方法由两个部分组成,第一部分是增强目标和背景之间的对比度,第二部分是从图像分段目标。为了获得准确的定量分析并确认所提出的方法为真正的MR图像提供优异的结果,将实验数据分配为两组:计算机仿真和实际乳房MRI。最后,我们将实验结果与几个现有着名的图像分割算法的实验结果进行比较,以确认所提出的方法的优点和贡献。

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