Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging Export

@article{citeulike:5072452, abstract = {<para> Time series of <emphasis emphasistype="boldital">in vivo</emphasis> magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experiment is modeled as a linear dynamical system. A Kalman filter based unaliasing reconstruction is described for accelerated dynamic magnetic resonance imaging (MRI). The algorithm handles arbitrary readout trajectories naturally. The reconstruction is causal and very fast, making it applicable to real-time imaging. <emphasis emphasistype="boldital">In vivo</emphasis> results are presented for cardiac MRI of healthy volunteers. </para>}, author = {Sumbul, U. and Santos, J. M. and Pauly, J. M.}, booktitle = {Medical Imaging, IEEE Transactions on}, citeulike-article-id = {5072452}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TMI.2008.2012030}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4749316}, doi = {10.1109/TMI.2008.2012030}, journal = {Medical Imaging, IEEE Transactions on}, keywords = {dce-mri, methodology, reconstruction}, number = {7}, pages = {1093--1104}, posted-at = {2009-07-06 08:27:06}, priority = {2}, title = {Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging}, url = {http://dx.doi.org/10.1109/TMI.2008.2012030}, volume = {28}, year = {2009} }

TY - JOUR ID - citeulike:5072452 L3 - citeulike-article-id:5072452 N2 - <para> Time series of <emphasis emphasistype="boldital">in vivo</emphasis> magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experiment is modeled as a linear dynamical system. A Kalman filter based unaliasing reconstruction is described for accelerated dynamic magnetic resonance imaging (MRI). The algorithm handles arbitrary readout trajectories naturally. The reconstruction is causal and very fast, making it applicable to real-time imaging. <emphasis emphasistype="boldital">In vivo</emphasis> results are presented for cardiac MRI of healthy volunteers. </para> IS - 7 JF - Medical Imaging, IEEE Transactions on EP - 1104 TI - Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging VL - 28 T2 - Medical Imaging, IEEE Transactions on SP - 1093 KW - dce-mri KW - methodology KW - reconstruction AU - Sumbul, U AU - Santos, JM AU - Pauly, JM PY - 2009/// UR - http://dx.doi.org/10.1109/TMI.2008.2012030 ER -