Dan
Ma1, Vikas Gulani1, 2, Nicole Seiberlich1,
Jeffrey Duerk1, Mark Griswold1, 2
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 2Dept. of Radiology, University Hospitals of Cleveland and Case Western Reserve University, Cleveland, OH, United States
MR Fingerprinting is a completely novel approach to quantitative MRI. Instead of collecting a series of weighted images and fitting signal time courses to an exponential model, MRF eschews collection of traditional images and a model based approach altogether. A compressed sensing based approach is adopted where information about each voxel is collected with signal timecourses generated using variable TRs, flip angles, and inversion pulses to encode relaxation information into unique signal evolution curves. Matching these curves to a comprehensive dictionary using pattern matching provides multiple parameter mappings (T1, T2, proton density and off-resonance) and synthesized reconstructed images simultaneously.