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In fluorescence molecular tomography, the highly scattering property of biological tissues leads to an ill-posed inverse problem and reduces the accuracy of detection and localization of fluorescent targets. Regularization technique is usually utilized to obtain a stable solution. Conventional Tikhonov regularization is based on singular value decomposition (SVD) and L-curve strategy, which attempts...
Full angle noncontact fluorescence molecular tomography allows acquiring large data sets from complete angles, and simplifies the experimental setups. Accurately extracting animal surface is important for this kind of imaging systems. However, in in-vivo experiments, mouse breath movements and mechanical errors will influence the surface reconstruction. An optimal Radon transform based surface reconstruction...
The fluorescence molecular tomography (FMT) image quality could be improved significantly with reconstructed optical properties using diffuse optical tomography (DOT). However, different DOT algorithms and different constraint parameters usually lead to DOT images of obvious different image quality. In this paper, simulation experiment results demonstrate that the FMT image quality is robust to the...
Herein a two-step Tikhonov regularization-based reconstruction algorithm in fluorescence molecular tomography (FMT) was proposed. The suboptimal and optimal parameter was obtained in two steps alternately. Experimental results suggested that such technique outperform the traditional L-curve criterion that estimating the optimal parameter when applying into the FMT reconstruction.
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