Nilchian Masih, Bostan Emrah, Wang Zhentian, Nilchiyan Mohammad Reza, Stampanoni Marco, Unser Michael
Opt Express. 2016 Apr 4;24(7):7253-65. doi: 10.1364/OE.24.007253.
Given the raw absorption and differential phase-contrast images obtained from a grating-based x-ray radiography, we formulate the joint denoising of the absorption image and retrieval of the non-differential phase image as a regularized inverse problem. The choice of the regularizer is driven by the existing correlation between absorption and differential phase; it leads to the linear combination of a total-variation norm with a total-variation nuclear norm. We then develop the corresponding algorithm to efficiently solve this inverse problem. We evaluate our method using different experiments, including mammography data. We conclude that our method provides useful information in the context of mammography screening and diagnosis.
给定从基于光栅的X射线摄影术中获得的原始吸收图像和差分相衬图像,我们将吸收图像的联合去噪和非差分相图像的重建公式化为一个正则化逆问题。正则化器的选择是由吸收和差分相之间现有的相关性驱动的;它导致了全变差范数与全变差核范数的线性组合。然后,我们开发了相应的算法来有效地解决这个逆问题。我们使用不同的实验(包括乳腺X线摄影数据)对我们的方法进行了评估。我们得出结论,我们的方法在乳腺X线摄影筛查和诊断中提供了有用的信息。