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 Rochefort^1,2, 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.