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Poster Sessions<br />

3108. Fast Field Inhomogeneity and Concomitant Gradient Field Correction in Spiral Cardiac Imaging<br />

Joseph Yitan Cheng 1 , Juan M. Santos 1,2 , John M. Pauly 1<br />

1 Electrical Engineering, Stanford University, Stanford, CA, United States; 2 HeartVista, Inc., Los Altos, CA, United States<br />

Off-resonance blurring from main field inhomogeneities and concomitant gradient fields degrade the quality of spiral imaging. For cardiac imaging, offisocenter<br />

acquisitions are unavoidable resulting in significant artifacts from these effects. We present the importance of correcting both the field<br />

inhomogeneity and the concomitant gradient field using two fast and accurate algorithms. The advantages of our algorithms are demonstrated in cardiac<br />

imaging: their computation speed in a real-time study and their accuracy in a high-resolution study.<br />

3109. One Step Real-Time Image Correction with GUSTO (Gradient Warp and UnderSampled Transform<br />

Operator)<br />

Matthew Ethan MacDonald 1,2 , Randall Brooke Stafford, 2,3 , Michel Louis Lauzon, 2,4 , Richard Frayne, 2,4<br />

1 Electrical and Biomedical Engineering, University of Calgary, Calgary, Alberta, Canada; 2 Seaman Family MR Research Centre,<br />

Calgary, Alberta, Canada; 3 Physics and Astronomy, University of Calgary, Calgary, Alberta, Canada; 4 Radiology and Clinical<br />

Neurosciences, University of Calgary, Calgary, Alberta, Canada<br />

Real time imaging requires fast acquisition and low latency reconstruction algorithms. We propose the Gradient warp and UnderSampling Transform<br />

Operator (GUSTO) algorithm as a fast method for correction of aliasing and gradient warped images using a single matrix transformation. Proof of concept<br />

is shown with low resolution (64 x 64) phantom images.<br />

3110. Real-Time Gradient Warp Correction with OpenGL NURBS Surfaces<br />

Randall Brooke Stafford 1,2 , Matthew Ethan MacDonald, 2,3 , Richard Frayne, 2,4<br />

1 Department of Physics and Astronomy, University of Calgary, Calgary, Alberta, Canada; 2 Seaman Family MR Research Centre,<br />

Foothills Medical Centre, Calgary, AB, Canada; 3 Department of Electrical Engineering, University of Calgary, Calgary, AB, Canada;<br />

4 Departments of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada<br />

Gradient warp correction is computationally intensive, and therefore not always practical for real-time imaging. OpenGL (Open Graphics Language) is a<br />

graphics display library with mathematical graphics functions called non-uniform rational B-splines (NURBS) that can project a 2D texture onto a 3D<br />

surface within the fast display framework. In this study, we test collected raw data in real-time and projected the resulting uncorrected image onto the<br />

NURBS surface for display. The NURBS-corrected images were then qualitatively compared to product-sequence gradient warp corrected images. Our<br />

results support our hypothesis that NURBS surfaces have the capacity for real-time non-linear gradient warp correction.<br />

Simulation in MR Teaching & Research<br />

Hall B Monday 14:00-16:00<br />

3111. Utility of Hand-On Scanning for Assimilating MRI Concepts (Www.learnmri.org)<br />

Michelle Castro Cerilles 1 , Martin R. Prince 1 , Mitch Cooper 1 , Bo Xu 1 , Cynthia Wisnieff 1 , Robert Zubkoff 1 ,<br />

Satre Stuelke 1<br />

1 Radiology, Weill Cornell Medical College, New York, NY, United States<br />

Effectiveness of learning basic MRI principles by following hands-on workbook exercises as demonstrated by 11 students/residents/fellows. The workbook<br />

exercises teach MRI concepts such as MRI safety and patient screening, optimizing resolution, SNR and CNR on a phantom, optimizing T1 and T2<br />

weighting in the volunteer brain, creating, identifying and eliminating various artifacts, adapting scanning parameters to match varying anatomy in the<br />

volunteer knee and abdomen, and implementing various approaches to minimizing respiratory motion effects.<br />

3112. Generalized Formalism of the Extended Phase Diagram and Computational Applications Including an<br />

MRI Simulator.<br />

Giuseppe Palma 1,2 , Marco Comerci 2 , Anna Prinster 2,3 , Mario Quarantelli 2 , Bruno Alfano 2<br />

1 ESAOTE s.p.a., Naples, Italy; 2 Biostructure and Bioimaging Institute, National Research Council, Naples, Italy; 3 "S.D.N."<br />

Foundation, Naples, Italy<br />

We have built and generalized a rigorous formalism of the Extended Phase Diagram algorithm, in order to coherently include within a computational<br />

framework also non-trivial dephasing effects arising from static magnetic field inhomogeneities. Computational applications are presented providing both<br />

analytical and numerical outputs, including programs evolving the state populations according to virtually any pulse sequence provided by the user.<br />

Presented examples include tools to derive in a fully automated way the analytic signal equations (developed in Mathematica®) and to simulate MR Image<br />

formation process (developed in MATLAB®).<br />

3113. Magnetic Resonance Parameter Mapping Using Computer Simulation<br />

Yo Taniguchi 1 , Suguru Yokosawa 1 , Yoshitaka Bito 1<br />

1 Central Research Laboratory, Hitachi, Ltd., Kokubunji, Tokyo, Japan<br />

In MR parameter mapping, parameters are estimated from images obtained with various acquisition parameters. For the estimation, the intensity function,<br />

which defines the relationship of image intensity to acquisition and MR parameters, needs to be formulated analytically in a simple form. A method to<br />

formulate the intensity function numerically by computer simulation based on Bloch equations is proposed. Intensity functions of arbitrary pulse sequences<br />

are formulated using this method so that rapid imaging is applied for the mapping. The intensity function for RF-spoiled gradient echo was formulated<br />

numerically, and we confirmed that a T1 map was successfully estimated from images obtained in a phantom experiment.

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