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Traditional Posters: Diffusion & Perfusion - ismrm

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1609. Using Statistical Resampling and Geometric Least Squares to Improve DTI<br />

Measures Efficiently<br />

Paul Andrew Taylor 1 , Bharat B. Biswal 1<br />

1 Radiology, UMDNJ, Newark, NJ, United States<br />

An efficient method for improving DTI analysis is presented; geometric fitting and statistical resampling are used to calculate<br />

diffusion ellipsoids and associated quantities of interest with confidence intervals, and to greatly reduce the necessary number of<br />

gradient measures and therefore the scan time.<br />

<strong>Diffusion</strong>: Pulse Sequences<br />

Hall B Tuesday 13:30-15:30<br />

1610. Isotropic High Resolution <strong>Diffusion</strong>-Tensor Imaging in Humans at 7T<br />

Robin Martin Heidemann 1 , Alfred Anwander 1 , Thomas Knoesche 1 , Thorsten Feiweier 2 ,<br />

Fabrizio Fasano 3 , Josef Pfeuffer 2 , Robert Turner 1<br />

1 Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; 2 Siemens Healthcare<br />

Sector, Erlangen, Germany; 3 Fondazione Santa Lucia, Rome, Italy<br />

For isotropic high resolution DTI at ultra-high field strength, susceptibility effects and T2* decay must be properly addressed. A<br />

combination of reduced FOV imaging (zoomed imaging) and parallel imaging is optimized here, achieving high acceleration factors.<br />

This approach enables DWI acquisitions with 1 mm isotropic resolution at 7T. The high quality of the DTI data provides a high level<br />

of anatomical details.<br />

1611. Reduced-FOV <strong>Diffusion</strong> Imaging with ZOnal Oblique Multislice (ZOOM)<br />

Combined with Readout-Segmented (RS)-EPI<br />

Samantha J. Holdsworth 1 , Stefan Skare 1 , Rafael Luis O'Hallaran 1 , Roland Bammer 1<br />

1 Radiology, Stanford University, Palo Alto, CA, United States<br />

<strong>Diffusion</strong>-weighted imaging (DWI) using EPI has been limited by geometric distortion and blurring, particularly in regions with large<br />

off-resonance effects. Distortions can be reduced by reducing the phase-encode FOV, and by reducing the echo-spacing. For the<br />

former, we implement the ZOnal Oblique Multislice (ZOOM) technique, which uses a tilted refocusing pulse to spatially select a<br />

region of interest. To reduce echo-spacing further, we use the readout-segmented (RS)-EPI technique. We show that the combination<br />

of the ZOOM pulse and RS-EPI results in images of the spine and orbits with reduced geometric distortion.<br />

1612. Robust Fat Suppression for High-Resolution <strong>Diffusion</strong>-Weighted Imaging<br />

Joelle E. Sarlls 1,2 , Wen-Ming Luh 3 , Carlo Pierpaoli 1<br />

1 NICHD, National Institutes of Health, Bethesda, MD, United States; 2 Henry M. Jackson Foundation,<br />

Rockville, MD, United States; 3 NIMH, National Institutes of Health, Bethesda, MD, United States<br />

Although spectral-spatial excitation pulses provide single-shot EPI diffusion-weighted images without signal from fat, they are limited<br />

in the attainable minimum slice thickness. To achieve higher resolution, traditional fat supression methods must be used. In this<br />

work, an exhaustive investigation was performed to determine which, if any, implementation of the slice-selective gradient reversal<br />

method completely supressed the fat signal. The dual-spin-echo diffusion preparation implementation, with opposite polarity sliceselect<br />

gradients for the two 180° refocusing pulses, combined with traditional fat supression was found to completely suppress fat in<br />

phantoms and in vivo.<br />

1613. Improved Prospective Optical Motion Correction for DTI Using an Extended-Field-<br />

Of-View and Self-Encoded Marker<br />

Murat Aksoy 1 , Christoph Forman 1 , Matus Straka 1 , Samantha Jane Holdsworth 1 , Stefan<br />

Tor Skare 1 , Juan Manuel Santos 2 , Joachim Hornegger 3 , Roland Bammer 1<br />

1 Department of Radiology, Stanford University, Stanford, CA, United States; 2 Electrical Engineering, Stanford<br />

University, Stanford, CA, United States; 3 Computer Science, Friedrich-Alexander-University Erlangen-<br />

Nuremberg, Erlangen, Germany<br />

Due to the prolonged acquisition time, correction of rigid-head motion artifacts is essential for diagnostic image quality in diffusion<br />

tensor imaging (DTI). In this study, we performed prospective, real-time rigid head motion correction for DTI. This is achieved by<br />

using a single camera mounted on a head coil together with a 3D, self-encoded checkerboard marker that is attached to the patient's<br />

forehead. The results show that the proposed setup is very effective in removing rigid head motion artifacts even for very motionsensitive<br />

scans, such as DTI.<br />

1614. High Angular Resolution <strong>Diffusion</strong> Imaging (HARDI) with Highly Constrained<br />

Back Projection Reconstruction (HYPR)<br />

Yu-Chien Wu 1 , Charles A. Mistretta 2 , Andrew L. Alexander 3 , Trevor Andrews 4 , Paul J.<br />

Whalen 5 , James V. Haxby 5<br />

1 Dartmouth Brain Imaging Center, Dartmouth College, Hanover, NH, United States; 2 Wisconsin Institutes for<br />

Medical Research, University of Wisconsin-Madison, Madison, WI, United States; 3 Medical Physics,<br />

University of Wisconsin-Madison, Madison, WI, United States; 4 College of Medicine, University of Vermont,

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