基于T矩阵的逆算法，用于通过多光谱扩散光学层析成像对非球形颗粒进行形态表征。
T-matrix-based inverse algorithm for morphologic characterization of nonspherical particles using multispectral diffuse optical tomography.
作者信息
Hajihashemi M Reza, Jiang Huabei
机构信息
Department of Biomedical Engineering, University of Florida, Gainesville, Florida 32611, USA.
出版信息
Appl Opt. 2011 Jul 20;50(21):3896-906. doi: 10.1364/AO.50.003896.
Abstract
An inverse algorithm is presented for tomographically imaging morphologic characteristics of nonspherical particles in heterogeneous turbid media. The particles are assumed to have spheroidal shapes with random orientations. The inverse algorithm is based on a relationship of the particle scattering spectra, obtained from multispectral diffuse optical tomography, and the size, concentration, and aspect ratio of spheroidal particles through the T-matrix method. The algorithm is implemented based on Tikhonov-Marquardt regularization techniques that minimize the difference between the observed and calculated scattering spectra. Different statistical models are assumed for the suspended nonspherical particles and the performance of the inverse algorithm is tested using noise-corrupted data up to 50% noise added to the observed scattering spectra.
摘要
提出了一种用于对非均匀浑浊介质中非球形颗粒的形态特征进行层析成像的反演算法。假设颗粒为具有随机取向的椭球形。该反演算法基于通过T矩阵方法从多光谱漫射光学层析成像获得的颗粒散射光谱与椭球形颗粒的尺寸、浓度和纵横比之间的关系。该算法基于Tikhonov-Marquardt正则化技术实现，该技术可使观测散射光谱与计算散射光谱之间的差异最小化。对悬浮的非球形颗粒假设了不同的统计模型，并使用添加到观测散射光谱中高达50%噪声的噪声干扰数据对反演算法的性能进行了测试。
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