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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

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