Yun Jiang1, Dan Ma2, Renate Jerecic3, Jeffrey Duerk1,2, Nicole Seiberlich1, Vikas Gulani1,2, Mark A Griswold1,2. 1. Dept. of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. 2. Dept. of Radiology, Case Western Reserve University, Cleveland, Ohio, USA. 3. Siemens AG, Healthcare Sector, Magnetic Resonance, Erlangen, Germany.
Abstract
PURPOSE: The purpose of the study is to develop a quantitative method for the relaxation properties with a reduced radio frequency (RF) power deposition by combining magnetic resonance fingerprinting (MRF) technique with quick echo splitting NMR imaging technique (QUEST). METHODS: A QUEST-based MRF sequence was implemented to acquire high-order echoes by increasing the gaps between RF pulses. Bloch simulations were used to calculate a dictionary containing the range of physically plausible signal evolutions using a range of T1 and T2 values based on the pulse sequence. MRF-QUEST was evaluated by comparing to the results of spin-echo methods. The specific absorption rate (SAR) of MRF-QUEST was compared with the clinically available methods. RESULTS: MRF-QUEST quantifies the relaxation properties with good accuracy at the estimated head SAR of 0.03 W/kg. T1 and T2 values estimated by MRF-QUEST are in good agreement with the traditional methods. CONCLUSIONS: The combination of the MRF and the QUEST provides an accurate quantification of T1 and T2 simultaneously with reduced RF power deposition. The resulting lower SAR may provide a new acquisition strategy for MRF when RF energy deposition is problematic. Magn Reson Med 77:979-988, 2017.
PURPOSE: The purpose of the study is to develop a quantitative method for the relaxation properties with a reduced radio frequency (RF) power deposition by combining magnetic resonance fingerprinting (MRF) technique with quick echo splitting NMR imaging technique (QUEST). METHODS: A QUEST-based MRF sequence was implemented to acquire high-order echoes by increasing the gaps between RF pulses. Bloch simulations were used to calculate a dictionary containing the range of physically plausible signal evolutions using a range of T1 and T2 values based on the pulse sequence. MRF-QUEST was evaluated by comparing to the results of spin-echo methods. The specific absorption rate (SAR) of MRF-QUEST was compared with the clinically available methods. RESULTS: MRF-QUEST quantifies the relaxation properties with good accuracy at the estimated head SAR of 0.03 W/kg. T1 and T2 values estimated by MRF-QUEST are in good agreement with the traditional methods. CONCLUSIONS: The combination of the MRF and the QUEST provides an accurate quantification of T1 and T2 simultaneously with reduced RF power deposition. The resulting lower SAR may provide a new acquisition strategy for MRF when RF energy deposition is problematic. Magn Reson Med 77:979-988, 2017.
Authors: Ali R Rezai; Daniel Finelli; John A Nyenhuis; Greg Hrdlicka; Jean Tkach; Ashwini Sharan; Paul Rugieri; Paul H Stypulkowski; Frank G Shellock Journal: J Magn Reson Imaging Date: 2002-03 Impact factor: 4.813
Authors: Tony Stöcker; Fabian Keil; Kaveh Vahedipour; Daniel Brenner; Eberhard Pracht; N Jon Shah Journal: Magn Reson Med Date: 2013-08-02 Impact factor: 4.668
Authors: Philip M Robson; Aaron K Grant; Ananth J Madhuranthakam; Riccardo Lattanzi; Daniel K Sodickson; Charles A McKenzie Journal: Magn Reson Med Date: 2008-10 Impact factor: 4.668
Authors: Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold Journal: Nature Date: 2013-03-14 Impact factor: 49.962
Authors: Yun Jiang; Dan Ma; Himanshu Bhat; Huihui Ye; Stephen F Cauley; Lawrence L Wald; Kawin Setsompop; Mark A Griswold Journal: Magn Reson Med Date: 2016-12-26 Impact factor: 4.668
Authors: Yun Jiang; Dan Ma; Kathryn E Keenan; Karl F Stupic; Vikas Gulani; Mark A Griswold Journal: Magn Reson Med Date: 2016-10-27 Impact factor: 4.668
Authors: Debra F McGivney; Rasim Boyacıoğlu; Yun Jiang; Megan E Poorman; Nicole Seiberlich; Vikas Gulani; Kathryn E Keenan; Mark A Griswold; Dan Ma Journal: J Magn Reson Imaging Date: 2019-07-25 Impact factor: 4.813