Yuchi Liu1,2, Jesse Hamilton1,2, Brendan Eck1,3, Mark Griswold1,4, Nicole Seiberlich1,2,4. 1. Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. 2. Department of Radiology, University of Michigan, Ann Arbor, MI, USA. 3. Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA. 4. Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Abstract
PURPOSE: This work aims to develop an approach for simultaneous water-fat separation and myocardial T1 and T2 quantification based on the cardiac MR fingerprinting (cMRF) framework with rosette trajectories at 3T and 1.5T. METHODS: Two 15-heartbeat cMRF sequences with different rosette trajectories designed for water-fat separation at 3T and 1.5T were implemented. Water T1 and T2 maps, water image, and fat image were generated with B0 inhomogeneity correction using a B0 map derived from the cMRF data themselves. The proposed water-fat separation rosette cMRF approach was validated in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology MRI system phantom and water/oil phantoms. It was also applied for myocardial tissue mapping of healthy subjects at both 3T and 1.5T. RESULTS: Water T1 and T2 values measured using rosette cMRF in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology phantom agreed well with the reference values. In the water/oil phantom, oil was well suppressed in the water images and vice versa. Rosette cMRF yielded comparable T1 but 2~3 ms higher T2 values in the myocardium of healthy subjects than the original spiral cMRF method. Epicardial fat deposition was also clearly shown in the fat images. CONCLUSION: Rosette cMRF provides fat images along with myocardial T1 and T2 maps with significant fat suppression. This technique may improve visualization of the anatomical structure of the heart by separating water and fat and could provide value in diagnosing cardiac diseases associated with fibrofatty infiltration or epicardial fat accumulation. It also paves the way toward comprehensive myocardial tissue characterization in a single scan.
PURPOSE: This work aims to develop an approach for simultaneous water-fat separation and myocardial T1 and T2 quantification based on the cardiac MR fingerprinting (cMRF) framework with rosette trajectories at 3T and 1.5T. METHODS: Two 15-heartbeat cMRF sequences with different rosette trajectories designed for water-fat separation at 3T and 1.5T were implemented. Water T1 and T2 maps, water image, and fat image were generated with B0 inhomogeneity correction using a B0 map derived from the cMRF data themselves. The proposed water-fat separation rosette cMRF approach was validated in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology MRI system phantom and water/oil phantoms. It was also applied for myocardial tissue mapping of healthy subjects at both 3T and 1.5T. RESULTS: Water T1 and T2 values measured using rosette cMRF in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology phantom agreed well with the reference values. In the water/oil phantom, oil was well suppressed in the water images and vice versa. Rosette cMRF yielded comparable T1 but 2~3 ms higher T2 values in the myocardium of healthy subjects than the original spiral cMRF method. Epicardial fat deposition was also clearly shown in the fat images. CONCLUSION: Rosette cMRF provides fat images along with myocardial T1 and T2 maps with significant fat suppression. This technique may improve visualization of the anatomical structure of the heart by separating water and fat and could provide value in diagnosing cardiac diseases associated with fibrofatty infiltration or epicardial fat accumulation. It also paves the way toward comprehensive myocardial tissue characterization in a single scan.
Authors: Vineeta Ojha; Omar K Khalique; Rishabh Khurana; Daniel Lorenzatti; Steve W Leung; Benny Lawton; Timothy C Slesnick; Joao C Cavalcante; Chiara-Bucciarelli Ducci; Amit R Patel; Claudia C Prieto; Sven Plein; Subha V Raman; Michael Salerno; Purvi Parwani Journal: J Cardiovasc Magn Reson Date: 2022-06-20 Impact factor: 6.903
Authors: Brendan L Eck; Scott D Flamm; Deborah H Kwon; W H Wilson Tang; Claudia Prieto Vasquez; Nicole Seiberlich Journal: Prog Nucl Magn Reson Spectrosc Date: 2020-11-06 Impact factor: 9.795
Authors: Gastao José Lima da Cruz; Carlos Velasco; Begoña Lavin; Olivier Jaubert; Rene Michael Botnar; Claudia Prieto Journal: Magn Reson Med Date: 2022-01-26 Impact factor: 3.737