Four-shot non-cartesian trajectories for k-space sampling in MRI

This paper considers the problem of designing trajectories for scanning k-space in MRI. Various cartesian and non-cartesian trajectories such as rectangular, spiral, radial, etc. have been proposed in the literature. Non-cartesian trajectories are observed to perform optimally in terms of scan time and reduced artifacts in the constructed image. Novel k-space sampling trajectories that use sinusoidal smooth functions and four RF excitations (four-shots) have been proposed here. Simulations on Shepp–Logan phantom image show that the proposed trajectory provides slightly better peak signal-to-noise ratio compared to the commonly used spiral trajectory .

[1]  Pierre Weiss,et al.  On the Generation of Sampling Schemes for Magnetic Resonance Imaging , 2016, SIAM J. Imaging Sci..

[2]  Gary H. Glover,et al.  Spiral imaging in fMRI , 2012, NeuroImage.

[3]  Stephen M Smith,et al.  k-t FASTER: Acceleration of functional MRI data acquisition using low rank constraints , 2014, Magnetic resonance in medicine.

[4]  Peter Börnert,et al.  Improvements in spiral MR imaging , 1999, Magnetic Resonance Materials in Physics, Biology and Medicine.

[5]  Stephen M. Smith,et al.  Accelerating functional MRI using fixed‐rank approximations and radial‐cartesian sampling , 2016, Magnetic resonance in medicine.

[6]  Frank T. A. W. Wajer,et al.  Non-Cartesian MRI scan time reduction through sparse sampling , 2001 .

[7]  Seung-Jean Kim,et al.  A fast method for designing time-optimal gradient waveforms for arbitrary k-space trajectories , 2008, IEEE Transactions on Medical Imaging.

[8]  S. Ljunggren A simple graphical representation of fourier-based imaging methods , 1983 .

[9]  E. Candès,et al.  Sparsity and incoherence in compressive sampling , 2006, math/0611957.

[10]  A. Macovski,et al.  Selection of a convolution function for Fourier inversion using gridding [computerised tomography application]. , 1991, IEEE transactions on medical imaging.

[11]  Pierre Weiss,et al.  Variable density compressed sensing in MRI. Theoretical vs heuristic sampling strategies , 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

[12]  R J Ordidge,et al.  Ultrafast magnetic resonance scanning of the liver with echo-planar imaging. , 1990, The British journal of radiology.

[13]  S. Rossitti Introduction to Functional Magnetic Resonance Imaging, Principles and Techniques , 2002 .

[14]  P. Lauterbur,et al.  Image Formation by Induced Local Interactions: Examples Employing Nuclear Magnetic Resonance , 1973, Nature.

[15]  Vikas Gulani,et al.  Non‐Cartesian parallel imaging reconstruction , 2014, Journal of magnetic resonance imaging : JMRI.

[16]  R. Ordidge,et al.  Whole-body echo-planar MR imaging at 0.5 T. , 1989, Radiology.

[17]  P. Mansfield,et al.  Medical imaging by NMR. , 1977, The British journal of radiology.

[18]  L. He,et al.  MR Image Reconstruction from Sparse Radial Samples Using Bregman Iteration , 2006 .