基于距离掩模的非线性插值分割算法在人脑三维重建中的应用

Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005. Pub Date : 2005-03-16 DOI:10.1109/CNE.2005.1419545

Zhao Shuying, Yang Jinzhu, C. Liying, Su Guojun, Xu Xinhe

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引用次数: 1

摘要

在医学序列切片中，需要提取图像中的感兴趣区域(ROI)并进行三维重建。提出了一种非线性图像插值分割算法。该算法基于距离掩码。该方法能有效地处理灰度分布相互重叠的人脑图像分割，并能快速提取ROI。实验表明，采用该算法可以获得较好的结果。该算法已成功应用于医学图像三维可视化系统中

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An Algorithm of Nonlinear Interpolation Segmentation Based on Distance Mask Applied to Human Brain 3D Reconstruction

In medical sequence slices, ROI (region of interest) in image need to be extracted and to be 3D reconstructed. An algorithm of nonlinear image interpolation segmentation is proposed in this paper. The algorithm is based on the distance mask. It effectively processes the segmentation of human brain image in which the distribution of intensities overlap one another, and can quickly extract ROI. The experiment shows that perfect results can be obtained by using this algorithm. And this algorithm was successfully applied to the medical image 3D visualization system

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Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.

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