Simultaneous reconstruction and segmentation with the Mumford-Shah functional for electron tomography
Simultaneous reconstruction and segmentation with the Mumford-Shah functional for electron tomography
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DOI：
10.1109/embc.2016.7592073
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发表时间：
2016-08
期刊：
影响因子：
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通讯作者：
Li Shen;E. T. Quinto;Shiqiang Wang;M. Jiang
中科院分区：
文献类型：
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作者：
Li Shen;E. T. Quinto;Shiqiang Wang;M. Jiang
电子显微术（EM）是确定大分子复合物和生物样品三维（3D）结构的重要方法。但也有一些限制，如不良的信号噪声，倾斜角和子区域的范围受到电子曝光的限制，无意中移动的标本，与EM系统，使重建过程中严重不适定的问题。重建方法的不同选择可能导致不同的结果，并在重建图像中产生不同的附加伪影。在本文中，我们结合使用Mumford-Shah模型的伪影减少策略和迭代重建算法。结合的方法，不仅可以正则化的不适定性，并提供分割同时，但也平滑由于有限的数据额外的伪影。我们应用该方法从Shepp-Logan幻影和冷冻标本断层扫描的模拟数据。实验结果表明，该方法在降低噪声和伪影的同时，保持和增强了重建图像的边缘。
Electron micrography (EM) is an important method for determining the three-dimensional (3D) structure of macromolecular complexes and biological specimens. But there are several limitations such as poor signal-to-noise, limitation on range of tilt angles and sub-region subject to electron exposure, unintentional movements of the specimen, with EM systems that make the reconstruction procedure a severely ill-posed problem. A different choice of reconstruction method may lead to different results and create different additional artifacts in reconstructed images. In this paper, we combined the artifacts reduction strategy and the iterative reconstruction algorithm using a Mumford-Shah model. With the combined method, one can not only regularize the ill-posedness and provide segmentation simultaneously but also smooth additional artifacts due to the limited data. We applied the method to both simulated data from the Shepp-Logan phantom and cryo-specimen tomography. The results demonstrate the performance of the method in reducing the noise and artifacts while preserving and enhancing the edges in the reconstructed image.