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Abstract #0462

A Weighted Gradient Regularization Solution to the Inverse Problem from Magnetic Field to Susceptibility Maps (Magnetic Source MRI): Validation and Application to Iron Quantification in the Human Brain

Ludovic de Rochefort1,2, Tian Liu1, Bryan Kressler1, Jian Liu1, Pascal Spincemaille1, Jianlin Wu3, Yi Wang1

1Radiology, Weill Medical College of Cornell University, New York, NY, USA; 2LMN, MIRCen, I2BM, DSV, CEA, Fontenay-aux-roses, France; 3Radiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China

A reconstruction technique is presented to extract susceptibility maps from phase and magnitude MR data. The linear problem is solved using least-square regularization based on two terms to define boundary conditions and preserve edges. The technique is validated on phantom and applied in human to quantify iron in cerebral hemorrhage.