Key result
Inversion group (IG) fitting for MOLLI provided T1 values with <1% discrepancy across various inversion grouping/rest period combinations, compared to up to 30% with conventional 3-parameter fits.
The new IG fitting algorithm for MOLLI allows arbitrary inversion grouping and rest periods with high accuracy, though at the cost of reduced precision.
Answers are grounded in this paper and cite their sources.
May enable flexible MOLLI protocols with minimal T1 bias; leaves open clinical validation and precision optimization before routine use.
PURPOSE: The Modified Look-Locker Inversion Recovery (MOLLI) technique is used for T1 mapping in the heart. However, a drawback of this technique is that it requires lengthy rest periods in between inversion groupings to allow for complete magnetization recovery. In this work, a new MOLLI fitting algorithm (inversion group [IG] fitting) is presented that allows for arbitrary combinations of inversion groupings and rest periods (including no rest period). THEORY AND METHODS: Conventional MOLLI algorithms use a three parameter fitting model. In IG fitting, the number of parameters is two plus the number of inversion groupings. This increased number of parameters permits any inversion grouping/rest period combination. Validation was performed through simulation, phantom, and in vivo experiments. RESULTS: IG fitting provided T1 values with less than 1% discrepancy across a range of inversion grouping/rest period combinations. By comparison, conventional three parameter fits exhibited up to 30% discrepancy for some combinations. The one drawback with IG fitting was a loss of precision-approximately 30% worse than the three parameter fits. CONCLUSION: IG fitting permits arbitrary inversion grouping/rest period combinations (including no rest period). The cost of the algorithm is a loss of precision relative to conventional three parameter fits. Magn Reson Med 75:2332-2340, 2016.
No takes yet. Share an insight, caveat, or question.
Sussman et al. (2015) studied T1 mapping in the heart. Inversion group (IG) fitting vs. Conventional three parameter fitting model was evaluated on T1 values discrepancy. Inversion group (IG) fitting for MOLLI provided T1 values with <1% discrepancy across various inversion grouping/rest period combinations, compared to up to 30% with conventional 3-parameter fits.
Synapse has enriched 10 related papers. Consider them for comparative context: