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Imprecise k-space sampling and central brightening

by R A Hanel, S De Backer, J Sijbers, P Scheunders , 2006
"... Abstract. In real-world sampling of k-space data, one generally makes a stochastic error not only in the value of the sample but in the effective position of the drawn sample. We refer to the latter as imprecise sampling and apply this concept to the fourier-based acquisition of magnetic resonance d ..."
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Abstract. In real-world sampling of k-space data, one generally makes a stochastic error not only in the value of the sample but in the effective position of the drawn sample. We refer to the latter as imprecise sampling and apply this concept to the fourier-based acquisition of magnetic resonance

OPTIMAL VARIABLE-DENSITY K-SPACE SAMPLING IN MRI

by Jin Hyung Lee, Brad Osgood, Dwight G. Nishimura
"... Magnetic resonance imaging (MRI) is often times limited by scan time. To reduce scan time, there have been various efforts to reduce the number of sampling points. In most cases, this is done by utilizing a priori knowledge of the signal of interest. In this paper, we propose an algorithm that will ..."
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that will guide the determination of an optimal sampling pattern based on prior knowledge of the signal. Applications of this method include optimal variable-density k-space trajectory design or reduced phase encoding in 3DFT and spectroscopy. Preliminary results are shown as a proof of concept.

MR Coronary Vessel Wall Imaging using radial k-Space Sampling and Steady-State Free-Precession

by M. Katoh, E. Spuentrup, A. Buecker, M. Stuber, R. W. Guenther, R. M. Botnar
"... We investigated the impact of radial k-space sampling and steady-state free-precession (SSFP) technique on image quality in 3D MRI of the coronary vessel wall. In eleven volunteers the right coronary artery vessel wall was studied using three different navigator-gated free-breathing black-blood sequ ..."
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We investigated the impact of radial k-space sampling and steady-state free-precession (SSFP) technique on image quality in 3D MRI of the coronary vessel wall. In eleven volunteers the right coronary artery vessel wall was studied using three different navigator-gated free-breathing black

IMAGING STRATEGY Comparison of ECG-Gated Rectilinear vs. Real-Time Radial K-Space Sampling Schemes in Cine True-FISP Cardiac MRI

by Daniel T. Boll, Elmar M. Merkle, Danielle M. Seaman, Robert C. Gilkeson, Andrew P. Larson, O P. Simonetti, Jeffrey L. Duerk, Jonathan S. Lewin
"... Purpose. To compare three k-space sampling schemes in cine True-FISP cardiac magnetic resonance imaging and to evaluate changes in calculated quantitative functional cardiac parameters as a function of underlying k-space sampling techniques. Material and Methods. Using a 1.5 T MR imaging system (Mag ..."
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Purpose. To compare three k-space sampling schemes in cine True-FISP cardiac magnetic resonance imaging and to evaluate changes in calculated quantitative functional cardiac parameters as a function of underlying k-space sampling techniques. Material and Methods. Using a 1.5 T MR imaging system

The Open-Access Journal for the Basic Principles of Diffusion Theory, Experiment and Application Optimal k-space Sampling for Single Point Imaging of Transient Systems

by Prodromos Parasoglou, Andrew J. Sederman, John Rasburn, Hugh Powell, Michael L. Johns , 2008
"... A modification of the Single Point Imaging (SPI) is presented. The novel approach aims at increasing the sensitivity of the method and hence the resulting Signal-to-Noise ratio (SNR) for a given total time interval. With prior knowledge of the shape of the object under study, a selective sparse k-sp ..."
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sampling can then be used to follow dynamic phenomena of transient systems, in this case the absorption of moisture by a cereal-based wafer material. Further improvement in the image quality is achieved when the un-sampled k-space points are replaced by those of the initial dry or the final wet sample

Using Radial k-space Sampling and Temporal Filters in MRI to Improve Temporal Resolution

by Patrik Brynolfsson
"... In this master thesis methods for increasing temporal resolution when reconstructing radially sampled MRI data have been developed and evaluated. This has been done in two steps; first the order in which data is sampled in k-space has been optimized, and second; temporal filters have been developed ..."
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In this master thesis methods for increasing temporal resolution when reconstructing radially sampled MRI data have been developed and evaluated. This has been done in two steps; first the order in which data is sampled in k-space has been optimized, and second; temporal filters have been developed

Magnetic Resonance in Medicine 57:338–352 (2007) Basis Function Cross-Correlations for Robust k-Space Sample Density Compensation, with Application to the Design of Radiofrequency Excitations

by Dimitris Mitsouras, Robert V. Mulkern, Onur Afacan, Dana H. Brooks, Frank J. Rybicki
"... The problem of k-space sample density compensation is restated as the normalization of the independent information that can be expressed by the ensemble of Fourier basis functions corresponding to the trajectory. Specifically, multiple samples (complex exponential functions) may be contributing to e ..."
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The problem of k-space sample density compensation is restated as the normalization of the independent information that can be expressed by the ensemble of Fourier basis functions corresponding to the trajectory. Specifically, multiple samples (complex exponential functions) may be contributing

Free-breathing contrast-enhanced T1-weighted gradient-echo imaging with radial k-space sampling for paediatric abdominopelvic MRI

by Hersh Chandarana , Kai T Block , Matthew J Winfeld , Shailee V Lala , Daniel Mazori , Emalyn Giuffrida , James S Babb , Sarah S Milla
"... Abstract Objective To compare the image quality of contrast-enhanced abdominopelvic 3D fat-suppressed T1-weighted gradientecho imaging with radial and conventional Cartesian k-space acquisition schemes in paediatric patients. Methods Seventy-three consecutive paediatric patients were imaged at 1.5 ..."
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Abstract Objective To compare the image quality of contrast-enhanced abdominopelvic 3D fat-suppressed T1-weighted gradientecho imaging with radial and conventional Cartesian k-space acquisition schemes in paediatric patients. Methods Seventy-three consecutive paediatric patients were imaged at 1

TITLE: Locating Carbon Bonds from INADEQUATE Spectra using Contin- uous Optimization Methods and Non-Uniform K-Space Sampling

by Sean Colin, Watson B. Eng
"... LEGAL DISCLAIMER: This is an academic research report. I, my supervisor, defence committee, and university, make no claim as to the fitness for any purpose, and accept no direct or indirect liability for the use of algorithms, findings, or recommendations in this thesis. ii The 2-D INADEQUATE experi ..."
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LEGAL DISCLAIMER: This is an academic research report. I, my supervisor, defence committee, and university, make no claim as to the fitness for any purpose, and accept no direct or indirect liability for the use of algorithms, findings, or recommendations in this thesis. ii The 2-D INADEQUATE experiment is a useful experiment for determining carbon structures of organic molecules known for having low signal-to-noise ratios. A non-linear optimization method for solving low-signal spectra result-ing from this experiment is introduced to compensate. The method relies on the peak locations defined by the INADEQUATE experiment to create boxes around these areas and measure the signal in each. By measuring pairs of these boxes and applying penalty functions that represent a priori information, we are able to quickly and reliably solve spectra with an acquisition time under a quarter of that required by traditional methods. Examples are shown using

Optimization of k-space trajectories for compressed sensing by Bayesian experimental design

by Matthias Seeger, Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf - MAGNETIC RESONANCE IN MEDICINE , 2009
"... The optimization of k-space sampling for nonlinear sparse MRI reconstruction is phrased as Bayesian experimental design problem. Bayesian inference is approximated by a novel relaxation to standard signal processing primitives, resulting in an efficient optimization algorithm for Cartesian and spi ..."
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The optimization of k-space sampling for nonlinear sparse MRI reconstruction is phrased as Bayesian experimental design problem. Bayesian inference is approximated by a novel relaxation to standard signal processing primitives, resulting in an efficient optimization algorithm for Cartesian
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