Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods.
暂无分享,去创建一个
Jianwen Luo | Yuan Zhou | Maomao Chen | Han Su | Dong Zhang | Chuangjian Cai | Jianwen Luo | D. Zhang | Maomao Chen | Chuangjian Cai | Yuan Zhou | Han Su
[1] Jianwen Luo,et al. Full-direct method for imaging pharmacokinetic parameters in dynamic fluorescence molecular tomography , 2015 .
[2] Vasilis Ntziachristos,et al. Time-resolved imaging of optical coefficients through murine chest cavities. , 2006, Journal of biomedical optics.
[3] Patricia K. Lamm,et al. A discrepancy principle for generalized local regularization of linear inverse problems , 2014 .
[4] Jianwen Luo,et al. A Direct Method With Structural Priors for Imaging Pharmacokinetic Parameters in Dynamic Fluorescence Molecular Tomography , 2014, IEEE Transactions on Biomedical Engineering.
[5] Birsen Yazici,et al. Direct Reconstruction of Pharmacokinetic-Rate Images of Optical Fluorophores From NIR Measurements , 2009, IEEE Transactions on Medical Imaging.
[6] R. W. Paynter,et al. On the choice of tuning parameters for use with Robust GCV, Modified GCV and the Discrepancy Principle in the inversion of ARXPS data , 2014 .
[7] M. Rudnicki,et al. The Use of L-Curve and U-Curve in Inverse Electromagnetic Modelling , 2008 .
[8] Vasilis Ntziachristos,et al. Accuracy of fluorescent tomography in the presence of heterogeneities:study of the normalized born ratio , 2005, IEEE Transactions on Medical Imaging.
[9] V. Ntziachristos,et al. Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging. , 2003, Medical physics.
[10] Dianne P. O'Leary,et al. The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..
[11] Eric L. Miller,et al. A Statistical Approach to Inverting the Born Ratio , 2007, IEEE Transactions on Medical Imaging.
[12] Jianwen Luo,et al. MAP estimation with structural priors for fluorescence molecular tomography , 2013, Physics in medicine and biology.
[13] Jorge Ripoll,et al. Feasibility of U-curve method to select the regularization parameter for fluorescence diffuse optical tomography in phantom and small animal studies. , 2011, Optics express.
[14] Jianwen Luo,et al. Imaging of pharmacokinetic rates of indocyanine green in mouse liver with a hybrid fluorescence molecular tomography/x-ray computed tomography system , 2013, Journal of biomedical optics.
[15] P. Hansen. The discrete picard condition for discrete ill-posed problems , 1990 .
[16] Rosemary A. Renaut,et al. Application of the χ2 principle and unbiased predictive risk estimator for determining the regularization parameter in 3-D focusing gravity inversion , 2014, 1408.0712.
[17] S. Arridge. Optical tomography in medical imaging , 1999 .
[18] Per Christian Hansen,et al. Regularization Tools version 4.0 for Matlab 7.3 , 2007, Numerical Algorithms.
[19] Gene H. Golub,et al. Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.
[20] Eva M. Sevick-Muraca,et al. Pharmacokinetics of ICG and HPPH-car for the Detection of Normal and Tumor Tissue Using Fluorescence, Near-infrared Reflectance Imaging: A Case Study¶ , 2000, Photochemistry and photobiology.
[21] Xin Liu,et al. A Combined Fluorescence and Microcomputed Tomography System for Small Animal Imaging , 2010, IEEE Transactions on Biomedical Engineering.
[22] B. Pogue,et al. Image-guided diffuse optical fluorescence tomography implemented with Laplacian-type regularization. , 2007, Optics express.
[23] Per Christian Hansen,et al. Analysis of Discrete Ill-Posed Problems by Means of the L-Curve , 1992, SIAM Rev..
[24] Martin Schweiger,et al. Selection of regularization parameter for optical topography. , 2009, Journal of biomedical optics.
[25] Vasilis Ntziachristos,et al. Looking and listening to light: the evolution of whole-body photonic imaging , 2005, Nature Biotechnology.
[26] M. Hanke. Limitations of the L-curve method in ill-posed problems , 1996 .
[27] K. Hirao,et al. Direct measurement of hepatic indocyanine green clearance with near‐infrared spectroscopy: Separate evaluation of uptake and removal , 1996, Hepatology.
[28] C. Bouman,et al. Estimation of kinetic model parameters in fluorescence optical diffusion tomography. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.
[29] Vasilis Ntziachristos,et al. Performance dependence of hybrid x-ray computed tomography/fluorescence molecular tomography on the optical forward problem. , 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.
[30] B. Chance,et al. Pharmacokinetic-rate images of indocyanine green for breast tumors using near-infrared optical methods , 2008, Physics in medicine and biology.