全部文献期刊会议图书|学者科研项目
中外文文献  中文文献  外文文献
作者:Wenbo Wan , Lingling Liu , Yihan Wang ...
来源:[J].Infrared Physics and Technology(IF 1.364), 2019, Vol.98, pp.323-333
摘要:Abstract(#br)In near-infrared fluorescence molecular tomography (FMT), high turbidity of biological tissue exerts severe adversity to image reconstruction. In contrast to highly diffusive photons, early-photons preserve a significant amount of spatial information, and thereby con...
作者:Bin Wang , Pu Jiao , Huangjian Yi ...
来源:[J].Optical Review(IF 0.702), 2020, Vol.27 (1), pp.31-38
摘要:As an optical molecular imaging modality, fluorescence molecular tomography (FMT can monitor the activities of organisms in vivo at the molecular and cellular levels. However, the recovered image quality is affected by mesh voxel when the finite element method is utilized to reco...
作者:Pu Jiao , Huangjian Yi , Yuelin Hu ...
来源:[J].Optical Review(IF 0.702), 2019, Vol.26 (6), pp.523-530
摘要:Abstract(#br)A large-scale fluorescence measurement captured by non-contact fluorescence molecular tomography imaging system is utilized to reconstruct the three-dimensional distribution of fluorescent probe in small animals. However, this makes the computational burden heavier a...
作者:Tobias Lasser , Vasilis Ntziachristos
来源:[J].Medical Image Analysis(IF 4.087), 2007, Vol.11 (4), pp.389-399
摘要:Abstract(#br)Fluorescence tomography of tissues has been generally limited to systems that require fixed geometries or measurements employing fibers. Certain technological advances however, have more recently allowed the development of complete-projection 360° tomographic app...
作者:Zhun Xu , Jing Bai
来源:[J].Progress in Natural Science(IF 0.989), 2008, Vol.19 (4), pp.501-509
摘要:... In this paper, four different algorithms, including singular value decomposition (SVD), the truncated SVD, Tikhonov regularization and adaptive regularization, are analyzed and applied for solving the matrix equation generated from diffuse equation based on finite-element method in fluorescence molecular tomography...
作者:Jingjing Yu , Jingxing Cheng , Yuqing Hou ...
来源:[J].Journal of Innovative Optical Health Sciences(IF 0.632), 2014, Vol.7 (3), pp.1450008-1-1450008-9
摘要:Fluorescence molecular tomography (FMT) is a fast-developing optical imaging modality that has great potential in early diagnosis of disease and drugs development. However, reconstruction algorithms have to address a highly ill-posed problem to fulfill 3D reconstruction in FMT. I...
作者:Hongbo Guo , Yuqing Hou , Xiaowei He ...
来源:[J].Journal of Innovative Optical Health Sciences(IF 0.632), 2014, Vol.7 (2), pp.1350057-1-1350057-12
摘要:... In this paper, we report an efficient numerical method for fluorescence molecular tomography (FMT) that combines the advantage of SPN model and adaptive hp finite element method (hp-FEM). For purposes of comparison, hp-FEM and h-FEM are, respectively applied to the reconstruc...
作者:F.M. Lambers , F. Stuker , C. Weigt ...
来源:[J].Bone(IF 3.823), 2013, Vol.52 (2), pp.587-595
摘要:... With this in mind, the purpose of this study was to establish a longitudinal in vivo imaging approach of bone formation and resorption using fluorescence molecular tomography (FMT). In this study the reproducibility, accuracy and sensitivity of FMT for bone imaging were ass...
作者:S. Zhang , Q.X. Chen , J.W. Luo ...
来源:[J].Measurement(IF 1.13), 2013, Vol.46 (4), pp.1565-1571
摘要:Abstract(#br)An accurate surface reconstruction method is important to fluorescence molecular tomography (FMT) for it provides boundary information of the domain occupied by the image object which is essential to modeling light propagation in free space and inside the object. In ...
作者:Li Li , Chen Chen , Bo Bi
来源:[J].Journal of Computational and Applied Mathematics(IF 0.989), 2020, Vol.365
摘要:Abstract(#br)Fluorescence molecular tomography (FMT) is an imaging way of in vivo optical imaging, which is widely used in biomedical photon imaging for its higher sensitivity. For years, the propagation process of photons in tissue is simulated based on the equation of radiative...

我们正在为您处理中,这可能需要一些时间,请稍等。

资源合作:cnki.scholar@cnki.net, +86-10-82896619   意见反馈:scholar@cnki.net

×