- Poster presentation
- Open Access
Improved T1 fitting with the MOLLI sequence
© Cooper et al; licensee BioMed Central Ltd. 2013
- Published: 30 January 2013
- Flip Angle
- Calf Muscle
- Excitation Profile
- Human Calf
- High Flip Angle
T1 mapping has great potential for diagnosing diffuse cardiomyopathies. Modified Look Locker Inversion Recovery (MOLLI) is a promising 2D SSFP technique to measure T1 differences between healthy and diseased states in cardiac tissue. However, this method has been found to provide variable T1 values at different flip angles. Here we develop an improved fitting algorithm which accounts for the imperfect RF flip angle profile and SSFP signal evolution in MOLLI. We show that significantly improved T1 accuracy can be achieved across a larger range of flip angle in human calf muscle. This algorithm is then applied to MOLLI data obtained in the heart using an optimized flip angle.
Imaging experiments were performed at 1.5T. For calf muscle (n=3), the MOLLI sequence was implemented with 16 inversion times (TI) = [50 150 250 350] (ms), TI+RR, TI+2*RR, TI + 3*RR, where RR = 750 ms is the R-R interval of the simulated cardiac gating (chosen intentionally to eliminate the effect of variable RR on the T1 accuracy). Three flip angles of 30°, 60° and 90° were used. MOLLI data fitting was performed using the original formula (T1 = T1* (B/A-1), where T1*, A and B are obtained by a three-parameter exponential fit) as well as the proposed algorithm. The gold standard inversion recovery spin echo (IR-SE) sequence was used to obtain reference T1 values.
Cardiac T1 mapping was then performed (n=5) using a 90° flip angle (determined to be optimal from the calf muscle experiment). 16 TI were acquired, however there was no free relaxation between Look Locker epochs in order to shorten scan time.
Fitting residual (%)
While MOLLI allows for fast probing of tissue T1, the original fitting formula does not account for the effect of an imperfect RF excitation profile and only provides an approximation to the true SSFP signal evolution. Our improved fitting method can provide more accurate T1 results by incorporating these effects in the signal fitting.
NSFGRFP; Grant number: DGE-0707428;
NIH; Grant number: HL064647
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.