9 October 2015 Meshless reconstruction method for fluorescence molecular tomography based on compactly supported radial basis function
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Abstract
Fluorescence molecular tomography (FMT) is a promising tool in the study of cancer, drug discovery, and disease diagnosis, enabling noninvasive and quantitative imaging of the biodistribution of fluorophores in deep tissues via image reconstruction techniques. Conventional reconstruction methods based on the finite-element method (FEM) have achieved acceptable stability and efficiency. However, some inherent shortcomings in FEM meshes, such as time consumption in mesh generation and a large discretization error, limit further biomedical application. In this paper, we propose a meshless method for reconstruction of FMT (MM-FMT) using compactly supported radial basis functions (CSRBFs). With CSRBFs, the image domain can be accurately expressed by continuous CSRBFs, avoiding the discretization error to a certain degree. After direct collocation with CSRBFs, the conventional optimization techniques, including Tikhonov, L1-norm iteration shrinkage (L1-IS), and sparsity adaptive matching pursuit, were adopted to solve the meshless reconstruction. To evaluate the performance of the proposed MM-FMT, we performed numerical heterogeneous mouse experiments and
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yu An, Yu An, Jie Liu, Jie Liu, Guanglei Zhang, Guanglei Zhang, Jinzuo Ye, Jinzuo Ye, Yamin Mao, Yamin Mao, Shixin Jiang, Shixin Jiang, Wenting Shang, Wenting Shang, Yang Du, Yang Du, Chongwei Chi, Chongwei Chi, Jie Tian, Jie Tian, } "Meshless reconstruction method for fluorescence molecular tomography based on compactly supported radial basis function," Journal of Biomedical Optics 20(10), 105003 (9 October 2015). https://doi.org/10.1117/1.JBO.20.10.105003 . Submission:
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