Gao Hao, Zhao Hongkai
Department of Mathematics, University of California, Irvine, CA 92697, USA.
Opt Express. 2010 Feb 1;18(3):1854-71. doi: 10.1364/OE.18.001854.
In this paper we study an l1-regularized multilevel approach for bioluminescence tomography based on radiative transfer equation with the emphasis on improving imaging resolution and reducing computational time. Simulations are performed to validate that our algorithms are potential for efficient high-resolution imaging. Besides, we study and compare reconstructions with boundary angular-averaged data, boundary angular-resolved data and internal angular-averaged data respectively.
在本文中，我们研究了一种基于辐射传输方程的用于生物发光断层成像的l1正则化多级方法，重点在于提高成像分辨率和减少计算时间。进行了模拟以验证我们的算法具有高效高分辨率成像的潜力。此外，我们分别研究并比较了使用边界角平均数据、边界角分辨数据和内部角平均数据的重建结果。
