Optimizing Excitation Coil Currents for Advanced Magnetorelaxometry Imaging
暂无分享,去创建一个
[1] Mario Bertero,et al. Introduction to Inverse Problems in Imaging , 1998 .
[2] Oswaldo Baffa,et al. Development of an optical pumped gradiometric system to detect magnetic relaxation of magnetic nanoparticles , 2019, Journal of Magnetism and Magnetic Materials.
[3] M. Haltmeier,et al. Douglas-Rachford algorithm for magnetorelaxometry imaging using random and deterministic activations , 2018, International Journal of Applied Electromagnetics and Mechanics.
[4] Luc Dupré,et al. Model-based optimal design of a magnetic nanoparticle tomographic imaging setup , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).
[5] Luc Dupré,et al. Quantitative model selection for enhanced magnetic nanoparticle imaging in magnetorelaxometry. , 2015, Medical physics.
[6] Lutz Trahms,et al. Magnetorelaxometry procedures for quantitative imaging and characterization of magnetic nanoparticles in biomedical applications , 2015, Biomedizinische Technik. Biomedical engineering.
[7] Eko Supriyanto,et al. Plane-wise sensitivity based inhomogeneous excitation fields for magnetorelaxometry imaging of magnetic nanoparticles , 2015 .
[8] J Haueisen,et al. Quantitative imaging of magnetic nanoparticles by magnetorelaxometry with multiple excitation coils , 2014, Physics in medicine and biology.
[9] Lutz Trahms,et al. Quantitative reconstruction of a magnetic nanoparticle distribution using a non-negativity constraint , 2013, Biomedizinische Technik. Biomedical engineering.
[10] Eko Supriyanto,et al. Magnetic nanoparticle imaging by random and maximum length sequences of inhomogeneous activation fields , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[11] Luc Dupre,et al. Advancements in Magnetic Nanoparticle Reconstruction Using Sequential Activation of Excitation Coil Arrays Using Magnetorelaxometry , 2012, IEEE Transactions on Magnetics.
[12] L. Trahms,et al. Magnetorelaxometry Assisting Biomedical Applications of Magnetic Nanoparticles , 2011, Pharmaceutical Research.
[13] Beata Bylina,et al. The influence of a matrix condition number on iterative methods' convergence , 2011, 2011 Federated Conference on Computer Science and Information Systems (FedCSIS).
[14] Lutz Trahms,et al. Cancer therapy with drug loaded magnetic nanoparticles—magnetic drug targeting , 2011 .
[15] Yonina C. Eldar,et al. Compressed Sensing with Coherent and Redundant Dictionaries , 2010, ArXiv.
[16] A. Jordan,et al. Clinical applications of magnetic nanoparticles for hyperthermia , 2008, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.
[17] Frank Ludwig,et al. Magnetorelaxometry of magnetic nanoparticles with fluxgate magnetometers for the analysis of biological targets , 2005 .
[18] M Burghoff,et al. A sensor configuration for a 304 SQUID vector magnetometer. , 2004, Neurology & clinical neurophysiology : NCN.
[19] I. Daubechies,et al. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.
[20] Q. Pankhurst,et al. TOPICAL REVIEW: Applications of magnetic nanoparticles in biomedicine , 2003 .
[21] C. Bárcena,et al. APPLICATIONS OF MAGNETIC NANOPARTICLES IN BIOMEDICINE , 2003 .
[22] Steven Paul Hirshman,et al. Compact expressions for the Biot- Savart fields of a filamentary segment , 2002 .
[23] H. Engl,et al. Regularization of Inverse Problems , 1996 .
[24] O. J. Dunn,et al. Applied statistics: analysis of variance and regression , 1975 .
[25] Lea Fleischer,et al. Regularization of Inverse Problems , 1996 .
[26] Yonina C. Eldar,et al. Compressed Sensing: List of contributors , 2012 .
[27] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[28] S. Kabanikhin. Definitions and examples of inverse and ill-posed problems , 2008 .
[29] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[30] K. Pearson. Mathematical Contributions to the Theory of Evolution. III. Regression, Heredity, and Panmixia , 1896 .