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TRADITIONAL POSTER - ismrm

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Poster Sessions<br />

1081. Functional Magnetic Resonance Imaging Using PROPELLER EPI<br />

Martin Krämer 1 , Thies Halvor Jochimsen 1 , Marc Roth 1 , Jürgen Rainer Reichenbach 1<br />

1 Medical Physics Group, Department of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany<br />

A method to improve spatial and temporal resolutions in fMRI using PROPELLER-EPI. First results are shown which demonstrate that a sliding window<br />

reconstruction of high resolution long-axis propeller (LAP) data is suitable for simple fMRI experiments. Additionally the results achieved by the LAP<br />

measurements are compared to the standard 64x64 EPI sequence which is usually used in fMRI. From there it is shown that the activation maps created from<br />

the LAP scans are better localized along the cortex.<br />

1082. Passband BSSFP: Functional Contrast Compared to GRE-EPI and SE-EPI at 3T.<br />

Pål Erik Goa 1 , Anders Kristoffersen 1 , Michael H. Chappell 2 , Rob H. Tijssen 3 , Asta K. Håberg 4 , Karla L.<br />

Miller 3<br />

1 Dept. of Medical Imaging, St. Olavs University Hospital, Trondheim, Norway; 2 Dept. of Circulation and Medical Imaging,<br />

Norwegian University of Science and Technology (NTNU), Trondheim, Norway; 3 FMRIB Centre, Oxford University, Oxford, Oxon,<br />

United Kingdom; 4 Dept. of Neuromedicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway<br />

The functional contrast in passband balanced steady-state free precession (pbSSFP) with 3D segmented EPI readout is compared to that of GRE-EPI and SE-<br />

EPI at 3T. For pbSSFP, TR is varied from 6.5 ms to 45 ms. Standard flickering checkerboard paradigm is used. We find that the best functional contrast is<br />

obtained at TR = 33 ms with corresponding EPI-factor of 40. At this TR, the functional contrast in pbSSFP is approximately half that of GRE-EPI and twice<br />

that of SE-EPI with otherwise comparable scan parameters. False detections due to banding artefacts are present in pbSSFP.<br />

1083. Isotropic Sub-Millimeter FMRI in Humans at 7T<br />

Robin Martin Heidemann 1 , Dimo Ivanov 1 , Robert Trampel 1 , Joeran Lepsien 1 , Fabrizio Fasano 2 , Josef<br />

Pfeuffer 3 , Robert Turner 1<br />

1 Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; 2 Fondazione Santa Lucia, Rome, Italy; 3 Siemens<br />

Healthcare Sector, Erlangen, Germany<br />

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

FOV imaging (zoomed imaging) and parallel imaging is optimized here, achieving acceleration factors of up to 5.5. The high acceleration reduces distortions<br />

and image blurring, while incurring no other image artifacts. With this approach, high quality single-shot EPI acquisitions can be obtained with an isotropic<br />

resolution of 0.65 mm and sufficient coverage for e.g. fMRI in the visual cortex of the human brain.<br />

1084. Automatic Functional and Anatomical Registration for FMRI Using Optimized 3D Flyback Echo<br />

Planar Imaging<br />

Thomas Sushil John 1 , Michael Lustig 2,3 , John Mark Pauly 2<br />

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

United States; 3 Electrical Engineering and Computer Science, UC Berkeley, Berkeley, CA, United States<br />

Echo planar imaging (EPI) is the most widely used method for functional MRI. However, functional images are often distorted because EPI is highly<br />

sensitive to field inhomogeneities, eddy currents, and gradient delays. Functional and neuro-anatomical registration is complicated by these distortions and<br />

by the fact that functional and anatomical images are usually obtained with different imaging sequences. This work investigates the use of an optimized 3D<br />

flyback EPI trajectory with echo time shifting to obtain functional and anatomical images that have minimal distortions and are inherently co-registered.<br />

1085. Recovery of Signal Using Spiral-In K-Space Trajectories: Phase Coherence or Intensity Displacement?<br />

Kimberly Brewer 1,2 , James Rioux 1,2 , Martyn Klassen 3 , Chris Bowen 1,4 , Steven Beyea 1,4<br />

1 Institute for Biodiagnostics (Atlantic), National Research Council of Canada, Halifax, Nova Scotia, Canada; 2 Physics and<br />

Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada; 3 Robarts Research Institute, University of Western<br />

Ontario, London, Ontario, Canada; 4 Physics and Atmospheric Science, Radiology and Biomedical Engineering, Dalhousie University,<br />

Halifax, Nova Scotia, Canada<br />

Spiral pulse sequences are commonly used in fMRI, and spiral-in is known to be considerably better than spiral-out at signal recovery in regions with strong<br />

susceptibility field gradients. Previously proposed theories in the literature do not address the probability of signal displacement or fully explain all of the<br />

differences in signal recovery between spiral-out and spiral-in. In the current work we demonstrate that the difference in image intensity is not due to<br />

differences in signal displacement between spiral-in and spiral-out, but rather the increased phase coherence of the displaced pixels when using spiral-in.<br />

1086. Mitigating the Effects of Motion in EPI Time Series<br />

John M. Ollinger 1 , Andrew L. Alexander 1<br />

1 Waisman Laboratory for Brain Imaging, University of Wisconsin, Madison, WI, United States<br />

A model for image variance due to motion is developed and validated. It can be used minimize motion effects by optimizing EPI sequence parameters. In<br />

general, variance is minimized by minimizing the partial derivative of the steady-state magnetization along the slice axis. In particular, sidelobes contribute<br />

much of the noise at high flip angles; an optimum flip angle exists for a specified degree of motion and can be computed; and inter-slice gaps increase<br />

variance due to motion rather than decrease it.

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