Rei Ikegawa1, Akira Ichikawa1, Nobuyoshi Oomi1, Kuninori Kobayashi1, Mika Mori1, and Shigehide Kuhara1
1Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka, Japan
Synopsis
In fast cardiac T1 mapping implementing ECG-gating,
the recovery time of the longitudinal magnetization will change with heart rate
variation, which will affect T1 measurement accuracy. Several studies have
investigated the influence of heart rate variability on modified look-locker inversion
recovery; however, no analytical approach for correcting the T1 value after
scanning has been reported to date. Here, we investigated the effect of heart
rate change on measurement of T1 values and report a correction method. This
proposed method can reduce the effect of arrhythmia in fast cardiac T1 mapping.
INTRODUCTION
T1 mapping allows quantitative evaluation of myocardial
characteristics. The fast T1 mapping method 1-4 can obtain
images in a single breath-hold. However, when implementing electrocardiography
(ECG)-gating in this method, the recovery time of the longitudinal
magnetization changes with heart rate variation, which may affect T1
measurement accuracy. Although the effect of heart rate variability on modified
look-locker inversion recovery (MOLLI) has been studied, 1,5-7 no
analytical approach for correcting T1 values after scanning has been reported. We
investigated the effect of heart rate changes on T1 value measurements and propose
a correction method.METHODS
To simulate arrhythmias, a PC-based, arbitrarily
changeable wave-form and heart rate generator was used. As reference, we set RR
= 1000 ms (HR60; N), and varied it between 500 ms (HR120) and 1200 ms (HR50). We
also used (1) 20% shortened (S) RR, (2) 20% extended (L) RR, and (3) a mixture
of 20% shortening and extension, in 10 patterns: 1. N-N-N-N (N =1000 ms), 2. S-S-S-S
(S = 800 ms), 3. S-S-S-S (S = 500 ms), 4. L-L-L-L (L = 1200 ms), 5. N-N-N-S (N =
1000 ms, S = 800 ms), 6. N-N-N-L (N = 1000 ms, L = 1200 ms), 7. N-N-L-L (N = 1000
ms, L = 1200 ms), 8. N-N-S-L (N = 1000 ms, S = 800 ms, L = 1200 ms), 9. N-N-S-S
(N = 1000 ms, S = 800 ms), 10. N-N-S-L (N = 1000 ms, S = 500 ms, L = 1200 ms).
An ECG-gated 2D segmented fast-field echo single-slice image was acquired using
a 3-T MRI scanner (Vantage™ Titan 3T, Canon Medical Systems, Japan) with a 16-channel
head coil. A 3-T MRI T1 standard value phantom was used. The scanning
conditions of the MOLLI method were TR/TE = 3.9/1.4 ms, FA = 13°, and matrix
128 × 240. We
used 2 types of MOLLI: pre5(3)3 and post4(1)3(1)2, with initial settings of inversion
times = 140, 280, 420 ms. To measure the RR variation patterns, scan sounds
were recorded and analyzed using MATLAB, because the MRI scanner and heart rate
generator were not synchronized. We determined the reference T1 value using a
standard inversion recovery based T1 measurement method. To correct changes in
T1 value measurements according to heart rate variability, we proposed a method
that could compensate for longitudinal magnetization alterations caused by RR
variations, by successively calculating the amount of variation in longitudinal
magnetization and examined the compensation effect. We propose the following
expression: S = A - B βn exp (-TI / T1*), where TI represents the
inversion time, and T1* is the apparent T1, and βn = 1- γ βn-1,
γ = exp (-TI / T1*). The measured values were used
to fit the 3-parameter model for estimating A, B, and T1*, and T1 values were
calculated from A, B, and T1*: T1 = T1*(B / A - 1).RESULTS
The measured T1 values changed with heart rate
variation, and the correlation coefficients for the standard T1 values and
measured T1 values decreased. The MOLLI method was not significantly affected by
patterns 6, 7, and 9, but was markedly affected by patterns 5, 8, and 10. If
the heart rate patterns included shortened RRs, the MRI scanner would
automatically skip one heartbeat. Thus, the actual patterns were 3. SS-SS (SS =
1000 ms), 5. N-N-NS (N = 1000 ms, NS = 1800 ms), 8. N-N-SL (N = 1000 ms, SL = 2000
ms), 9. N-N-SS (N = 1000 ms, SS = 1600 ms), 10. N-N-SL (N = 1000 ms, SL = 1700
ms). The maximum error of T1 measurement due to heart rate changes was 21%. With
our correction, we could reduce errors due to heart rate variation. This reveals
the particular effect of heart rate variability (Figs. 1–4). In
case of 5. N-N-NS, the correlation coefficient was improved from 0.84 to 0.99
after correction. In case of 10. N-N-SL, the correlation coefficient was improved
from 0.87 to 1.01. Thus, using our proposed approach, the error in the measured
T1 value was corrected to a level (up to 8.6%) similar to that in the absence
of arrhythmia (Table 1).DISCUSSION AND CONCLUSION
Heart rate variation causes an error of up to 21.3%
in T1 measurements by MOLLI with ECG-gating. Our correction method could
improve the correlation coefficients of the measured T1 values and the
reference T1 values, by sequentially calculating and correcting the amount of
longitudinal magnetization changes according to each RR, improving the measurement
accuracy of T1 values. This method could reduce the effects of heart rate
variability to 8.6%, thereby minimizing the effect of arrhythmia in fast
cardiac T1 mapping.Acknowledgements
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