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结合改进牛顿法和手指关节光学断层扫描有效初始猜测估计的图像重建方案。

Image reconstruction scheme that combines modified Newton method and efficient initial guess estimation for optical tomography of finger joints.

作者信息

Yuan Zhen, Jiang Huabei

机构信息

Department of Biomedical Engineering, University of Florida, FL 32611-6131, USA.

出版信息

Appl Opt. 2007 May 10;46(14):2757-68. doi: 10.1364/ao.46.002757.

Abstract

What we believe to be a novel 3D diffuse optical tomography scheme is developed to reconstruct images of both absorption and scattering coefficients of finger joint systems. Compared with our previous reconstruction method, the improved 3D algorithm employs both modified Newton methods and an enhanced initial value optimization scheme to recover the optical properties of highly heterogeneous media. The developed approach is tested using simulated, phantom, and in vivo measurement data. The recovered results suggest that the improved approach is able to provide quantitatively better images than our previous algorithm for optical tomography reconstruction.

摘要

我们开发了一种我们认为新颖的三维扩散光学层析成像方案,用于重建手指关节系统的吸收系数和散射系数图像。与我们之前的重建方法相比,改进后的三维算法采用了修正牛顿法和增强的初始值优化方案,以恢复高度异质介质的光学特性。使用模拟数据、体模数据和体内测量数据对所开发的方法进行了测试。恢复结果表明,与我们之前的光学层析成像重建算法相比,改进后的方法能够提供质量更好的定量图像。

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