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  • Open Access

True T1 mapping with SMART1Map (saturation method using adaptive recovery times for cardiac T1 mapping): a comparison with MOLLI

  • 1 and
  • 2
Journal of Cardiovascular Magnetic Resonance201315 (Suppl 1) :P3

https://doi.org/10.1186/1532-429X-15-S1-P3

  • Published:

Keywords

  • Heart Rate Variation
  • Balance SSFP
  • Single Heartbeat
  • Constant Heart Rate
  • Adaptive Recovery

Background

SMART1Map is a new single-point technique for cardiac T1 mapping [1]. Unlike Look-Locker approaches, such as MOLLI, which yield an "apparent" T1 (T1*), SMART1Map directly measures true T1. Because T1* is a function of imaging parameters, it is always shorter than T1, and correction methods are required to obtain the true T1. This work compared the accuracy of SMART1Map with MOLLI in phantom experiments under several imaging conditions.

Methods

Analogous to the gold-standard spin-echo methods for T1 measurement, SMART1Map uses a series of single-point saturation-recovery experiments, each consisting of a saturation pulse, a delay time TS during which free T1 relaxation occurs, and a balanced SSFP readout. Short TSs (< RR interval) were acquired within a single heartbeat and were automatically and evenly distributed between TSmin and trigger delay. Longer TSs (free relaxation up to 4xRR), which were unachievable until now, were performed across multiple heartbeats. Although MOLLI assumes a constant heart rate for TIs that span several heartbeats, these long delay times are in fact heart-rate-dependent. In order to accurately quantify long TSs, SMART1Map adapts the actual recovery time to changing heart rates by measuring all heartbeats in real time. This makes SMART1Map insensitive to intra-scan heart rate variations. A phantom composed of a range of T1s and T1/T2 ratios was scanned with single-shot SMART1Map and MOLLI on a GE MR450w scanner. Five TSs were acquired in 13 heartbeats for SMART1Map and 8 TIs in 14 heartbeats for MOLLI (range: 100 to ~4000 ms) to determine T1* (MOLLI) and T1 (SMART1Map). T1* for MOLLI was corrected using a previously reported method [2]. Scans were repeated at simulated heart rates of 60, 75, and 100 bpm and with different readout window durations (Tacq).

Results

Average T1 errors over all measurements were 0.9±3.4% for SMART1Map and -4.8±13.3% for MOLLI (Figure. 1). Comparisons of SMART1Map with MOLLI for variations in heart rate and Tacq are shown in Figure 2.
Figure 1
Figure 1

Percent error in measured T1 for all experiments from SMART1Map and MOLLI compared with reference T1 from IR spin-echo. The significantly higher errors for MOLLI at lower T1s could be problematic for post-contrast-enhanced imaging, where T1s are expected to be less than 500 ms.

Figure 2
Figure 2

T1 accuracy for SMART1Map, uncorrected MOLLI, and corrected MOLLI as a function of readout window duration Tacq (left) and heart rate (right). In both cases, although corrected MOLLI (red) shows improvement over uncorrected MOLLI (blue), it still tends toward underestimation, especially at low T1s. In general, T1 underestimation with MOLLI increases with Tacq, heart rate, and T1. In contrast, SMART1Map (green) exhibits consistent accuracy across the range of T1s and demonstrates no sensitivity to Tacq or heart rate.

Conclusions

SMART1Map yielded more accurate T1 measurements than MOLLI in all cases. As expected, T1* measured with MOLLI underestimated true T1. Although its applicability has yet to be validated, the MOLLI correction yielded improved results at some T1s but broke down at others. This is likely due to MOLLI's T2 dependence which is not accounted for in the correction. MOLLI also showed significant sensitivity to changes in heart rate and Tacq. In contrast, SMART1Map demonstrated consistently accurate results that were independent of T1, heart rate, and Tacq. Because SMART1Map is a single-point acquisition, it is insensitive to imaging parameters and requires no post-processing correction. In addition, the accuracy of the long delay times, which has previously been overlooked in cardiac imaging, is assured by measuring the duration of every heartbeat. As a result, SMART1Map should be robust to variable imaging conditions.

Funding

N/A

Authors’ Affiliations

(1)
GE Healthcare, Bethesda, MD, USA
(2)
GE Healthcare, Toronto, ON, Canada

References

  1. Slavin : . Proc. ISMRM. 2012, 1244-Google Scholar
  2. Deichmann : . JMR. 1992, 96: 608-Google Scholar

Copyright

© Slavin and Stainsby; licensee BioMed Central Ltd. 2013

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.

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