Abstract #2600
            Improved Accuracy of T1 Mapping Reconstruction Using a Novel Bloch Equation-based Fitting With Graphic Processing Unit Implementation
                      Sbastien Roujol                     1                    , Tamer A. Basha                     1                    , 						Jihye Jang                     1                    , Sophie Berg                     1                    , Warren 						J. Manning                     1,2                    , and Reza Nezafat                     1          
            
            1
           
           Department of Medicine, Beth Israel 
						Deaconess Medical Center and Harvard Medical School, 
						Boston, Massachusetts, United States,
           
            2
           
           Department 
						of Radiology, Beth Israel Deaconess Medical Center and 
						Harvard Medical School, Boston, Massachusetts, United 
						States
          
            
          Native myocardial T1 sequences generally use a balanced 
						steady state free precession (b-SSFP) readout. However, 
						the b-SSFP signal is sensitive to many factors including 
						B0/B1 field inhomogeneities, T2, and magnetization 
						transfer. We recently developed the slice-interleaved T1 
						(STONE) sequence which we extended to spoiled gradient 
						echo (GRE) imaging. The GRE readout removes the T2 
						dependence and the magnetization transfer sensitivity of 
						T1 estimates, and reduces the overall sensitivity to B0 
						field inhomogeneities. Two-point fit model provides 
						improved robustness against artefact and provides higher 
						T1 precision. However, this model is associated with 
						reduced accuracy induced by its sensitivity to imperfect 
						inversion efficiency and signal disturbances caused by 
						the imaging pulses. In this study, we sought to develop 
						and evaluate an alternative fitting approach where the 
						data are fitted to the simulated signal of the entire 
						pulse sequence using Bloch equations.
         
				
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