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Abstract #3092

Iterative Space Transformation Enables the Use of Optimal Magnetic Field Correction Algorithms Using EPI-Based Field Maps

Andrew Hahn1, Andrew Nencka1, Daniel Rowe2

1Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States; 2Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI

Methods of correcting the effects resulting from magnetic field inhomogeneities and off-resonance that have proven to be most effective in recovering homogenous image intensity, recovering signal dropout and providing optimal image unwarping often involve inverting a matrix kernel constructed with prior knowledge of the magnetic field. Field maps estimated using echo-planar images are very convenient to acquire, but are not compatible with the mentioned group of algorithms due to their warped space coordinates. A straightforward method is presented providing a connection between echo-planar based maps and optimal correction schemes leveraging both the convenience and performance of the combination.