Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography

被引:3
|
作者
Liu, Yanqiu [1 ,2 ]
Chu, Mengxiang [1 ,3 ]
Guo, Hongbo [1 ,2 ]
Hu, Xiangong [1 ,3 ]
Yu, Jingjing [4 ]
He, Xuelei [1 ,2 ]
Yi, Huangjian [1 ,2 ]
He, Xiaowei [1 ,2 ,3 ]
机构
[1] Xian Key Lab Radi & Intelligent Percept, Xian, Peoples R China
[2] Northwest Univ, Sch Informat Sci & Technol, Xian, Peoples R China
[3] Northwest Univ, Network & Data Ctr, Xian, Peoples R China
[4] Shaanxi Normal Univ, Sch Phys & Informat Technol, Xian, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2022年 / 12卷
基金
中国国家自然科学基金;
关键词
bioluminescence tomography; multispectral; eliminate errors; spectral differential; source reconstruction; SIMPLIFIED SPHERICAL-HARMONICS; LOW-SCATTERING; LIGHT-PROPAGATION; SPOTS REMOVAL; MONTE-CARLO; REGULARIZATION; ALGORITHM; TRANSPORT; EQUATION; IMAGES;
D O I
10.3389/fonc.2022.768137
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels. However, the accuracy of the BLT reconstruction is significantly affected by the forward modeling errors in the simplified photon propagation model, the measurement noise in data acquisition, and the inherent ill-posedness of the inverse problem. In this paper, we present a new multispectral differential strategy (MDS) on the basis of analyzing the errors generated from the simplification from radiative transfer equation (RTE) to diffusion approximation and data acquisition of the imaging system. Through rigorous theoretical analysis, we learn that spectral differential not only can eliminate the errors caused by the approximation of RTE and imaging system measurement noise but also can further increase the constraint condition and decrease the condition number of system matrix for reconstruction compared with traditional multispectral (TM) reconstruction strategy. In forward simulations, energy differences and cosine similarity of the measured surface light energy calculated by Monte Carlo (MC) and diffusion equation (DE) showed that MDS can reduce the systematic errors in the process of light transmission. In addition, in inverse simulations and in vivo experiments, the results demonstrated that MDS was able to alleviate the ill-posedness of the inverse problem of BLT. Thus, the MDS method had superior location accuracy, morphology recovery capability, and image contrast capability in the source reconstruction as compared with the TM method and spectral derivative (SD) method. In vivo experiments verified the practicability and effectiveness of the proposed method.
引用
收藏
页数:14
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