ELECTRONIC POSTER - ismrm
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ELECTRONIC POSTER - ismrm
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14:30 4957. A Study of Wideband MR Imaging: SNR and CNR<br />
Edzer Lienson Wu 1,2 , Jyh-Horng Chen, 23 , Tzi-Dar Chiueh 3<br />
1 Biomedical Engineering, National Taiwan University, Taipei, Taiwan; 2 Interdisciplinary MRI/MRS Lab,<br />
Taipei, Taiwan; 3 Electrical Engineering, National Taiwan University, Taipei, Taiwan<br />
Most of the MR image accelerating methods suffer from degradation of acquired images, which is often correlated with the degree of<br />
acceleration. However, Wideband MRI is a novel technique that transcends such flaws. In this study we demonstrate that Wideband<br />
MRI is capable of obtaining images with identical quality as conventional MR images in terms of SNR, CNR (contrast-to-noise ratio)<br />
and image sharpness, while using only half the total scan time (Wideband factor W=2) of normal MRI sequence.<br />
15:00 4958. High Fidelity Imaging Using Frequency Sweep Encoding<br />
Jun Shen 1<br />
1 NIMH, Bethesda, MD, United States<br />
Recently Frydman et al proposed a mechanism for directly forming images in k space using frequency sweep encoding. It relies on the<br />
quadratic dependence of magnetization phase on position. In combination with EPI-type readout, this method has found applications<br />
in single-shot spin-echo imaging. Its sequential excitation of magnetization may also be used for novel image contrast generation.<br />
Fidelity of images directly formed in k space, however, is significantly degraded. Here we show that fidelity of this type of images can<br />
be restored and we also extend this method to susceptibility-weighted imaging.<br />
Non-Cartesian Imaging Methods<br />
Hall B Monday 14:00-16:00 Computer 117<br />
14:00 4959. Fast Regridding Using LSQR on Graphics Hardware<br />
Gerald Buchgraber 1 , Florian Knoll 2 , Manuel Freiberger 2 , Christian Clason 3 , Markus<br />
Grabner 1 , Rudolf Stollberger 2<br />
1 Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria; 2 Institute of<br />
Medical Engineering, Graz University of Technology, Graz, Austria; 3 Institute of Mathematics and Scientific<br />
Computing, University of Graz, Graz, Austria<br />
Iterative image reconstruction methods have become increasingly popular for parallel imaging or constrained reconstruction methods,<br />
but the main drawback of these methods is the long reconstruction time. In the case of non-Cartesian imaging, resampling of k-space<br />
data between Cartesian and non-Cartesian grids has to be performed in each iteration step. Therefore the gridding procedure tends to<br />
be the time limiting step in these reconstruction strategies. With the upcoming parallel computing toolkits (such as CUDA) for<br />
graphics processing units image reconstruction can be accelerated in a tremendous way. In this work, we present a fast GPU based<br />
gridding method and a corresponding inverse-gridding procedure by reformulating the gridding procedure as a linear problem with a<br />
sparse system matrix.<br />
14:30 4960. A General Trajectory Tester<br />
Lawrence Frank 1,2 , Greg Balls 1 , Souheil Inati 3 , Leslie Greengard 4<br />
1 Radiology, UCSD, La Jolla, CA, United States; 2 Radiology, VASDHS, San Diego, CA, United States; 3 Dept of<br />
Psychology, NYU, New York; 4 Courant Institute, NYU, New York, United States<br />
We present a software platform called the General Trajectory Tester (GTT) that allows users to input arbitrary 3D k-space trajectories,<br />
in an arbitrary number of interleaves, which are then used to sample and reconstruct a known 3D analytical phantom. The GTT can<br />
also simulate diffusion weighting, including arbitrary diffusion angular encoding schemes for DTI, multiple b-values, eddy current<br />
and motion induced artifacts and self-navigation, and so is a natural platform to test efficient DTI acquisition and self-navigation<br />
schemes.<br />
15:00 4961. Nonlinear Inverse Reconstruction for Real-Time MRI of the Human Heart Using<br />
Undersampled Radial FLASH<br />
Martin Uecker 1 , Shuo Zhang 1 , Jens Frahm 1<br />
1 Biomedizinische NMR Forschungs GmbH, Max-Planck-Institut für biophysikalische Chemie, Göttingen,<br />
Germany<br />
A previously proposed algorithm for autocalibrated parallel imaging simultaneously estimates image content and coil sensitivities by<br />
inverting a nonlinear equation. Here, this algorithm is extended to non-Cartesian encodings and applied to real-time MRI. The method<br />
takes advantage of a convolution-based technique to simplify the implementation on a graphical processing unit (GPU) for reduced<br />
reconstruction times. The method is validated for real-time MRI of the human heart at 3 T using RF-spoiled radial FLASH. The<br />
results demonstrate artifact-free reconstructions for acquisitions with only 65 – 85 spokes corresponding to imaging times of 130 –<br />
170 ms.<br />
15:30 4962. Improved BPE Reconstruction Using FOCUSS<br />
Hisamoto Moriguchi 1 , Yutaka Imai 1<br />
1 Radiology, Tokai University, Isehara, Kanagawa, Japan<br />
Bunched Phase Encoding (BPE) is a new type of fast data acquisition method in MRI that takes advantage of zigzag k-space<br />
trajectories. A primary disadvantage of BPE is that images reconstructed using matrix inversion methods are sometimes affected by<br />
high levels of noise. In this study, a novel framework to reduce SNR loss in BPE reconstruction is presented. In this technique, high