Rui Guo1, Haikun Qi2, Xiaoying Cai1,3, Selcuk Kucukseymen1, Hassan Haji-Valizadeh1, Jennifer Rodriguez1, Amanda Paskavitz1, Patrick Pierce1, Beth Goddu1, Richard B. Thompson4, and Reza Nezafat1
1Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, BOSTON, MA, United States, 2School of Biomedical Engineering and Imaging Sciences, London, United Kingdom, 3Siemens Medical Solutions USA, Inc, Boston, MA, United States, 4University of Alberta, Department of Biomedical Engineering, Edmonton, MA, Canada
Synopsis
In this study, we developed a free-running
cardiac T1* mapping sequence (DELTA) for quantifying the dynamic
changes in myocardial T1*
in response to physiological exercise. DELTA adopts continuous radial acquisition,
self-navigation, and adaptive acquisition window to address the challenges
associated with high heart rate and deep breathing after exercise. Phantom T1*
by DELTA was heart-rate insensitive and had good repeatability. In vivo T1*
among multiple measurements had little variation and comparable
precision with MOLLI5(3)3 T1*.In the stress/rest
studies, T1* reactivity was larger during the first scan
after exercise and gradually reduced along the duration of post-exercise.
Purpose
Cardiovascular magnetic resonance tissue mapping has the
potential to quantify changes in the myocardial blood volume in response to physiological
exercise (Ex-CMR) for assessment of myocardial ischemia(1). However, rapid heart rate and deep
breathing during Ex-CMR challenge the general breath-holding T1 mapping techniques(1). This study aims to
develop a free-running cardiac T1* mapping sequence to
quantify the Dynamic changEs in myocardiaL T1 stAr (DELTA) in
response to physiological exercise.Methods
Sequence:
Figure 1A shows the diagram of the proposed prototype sequence. DELTA first performs a saturation pulse to renew the whole-heart longitudinal
magnetization (Mz). Then, three Look-Locker inversion-recovery experiments
are performed. Each Look-Locker experiment continuously acquires golden-angle radial data using low flip angle
spoiled gradient-echo. Radial lines acquired
in each Look-Locker experiment is fixed to drive the Mz to the steady
state (Mss). The evolution of Mz could be formulated as $$$M_{z}(t)=M_{ss}\left \{1 - \left [2-exp\left ( \frac{-T_{SAT}}{T_1^*} \right ) \right ]exp\left ( \frac{-t}{T_1^*} \right ) \right \}$$$, where TSAT is the delay
after saturation. During the free-running imaging, self-navigation is acquired every 30 readout
in the kz direction. ECG signal synchronous with acquisition is recorded
to retrospectively extract cardiac motion. Finally, radial lines collected at
mid-diastolic and end-expiration phases (Figures 1B and 1C) are selected for the reconstruction of T1 weighted images using a low rank plus sparsity
constraint method(2).
Phantom experiments: Nine
phantom vials(3) were scanned by inversion-recovery
spin-echo for reference values and DELTA on a 3T scanner (MAGNETOM Vida,
Siemens Healthcare, Germany) with body and spine phased-array coils. DELTA
performed T1* mapping at three
slices with a slice-gap of 16 mm (4). For each slice, DELTA
performed 10 times for ten T1* measurements with the
following parameters: FOV=200×200mm2, resolution=1.8×1.8mm2,
thickness=8mm, points per radial spoke=224, TR/TE/flip angle=2.9ms/1.03ms/4º.
The radial line is rotated with an angle of 111.25º. Every Look-Locker acquires 1500 spokes.
Different measurements of three slices were performed in an interleaved fashion.
In vivo experiments: We
first investigated the performance of DELTA on nine healthy subjects (4 males,
age 25±3 years), which was HIPAA compliant and approved by our Institutional
Review Board. Written informed consent was obtained from each subject prior to CMR
imaging. MOLLI5(3)3 and DELTA performed T1* maps at the base,
middle, and apex for three left-ventricle (LV) slices. For each slice, DELTA was performed ten times for ten T1* measurements. Measurements
of three slices were scanned in an interleaved fashion. Imaging parameters of DELTA
were the same as those used in phantom studies. MOLLI5(3)3 was performed with the following
parameters: bSSFP, FOV=320×320mm2, resolution=1.8×1.8mm2,
thickness=8mm, TR/TE/flip angle=3.9 ms/1.95 ms/35°, partial Fourier factor
=7/8, Acceleration factor=2(4,5).
We recruited
another five healthy volunteers (2 males, 25±5 years) for Ex-CMR study. Two rest scans
were performed before exercise for baseline. Each subject participated in two
Ex-CMR studies (1st
and 2nd) using an MR-compatible bicycle ergometer. The interval between
two Ex-CMR was 10
minutes. After the 1st exercise, DELTA performed four scans. The
interval between the two scans was <1 minute. One scan was performed after
the 2nd exercise. In each scan, DELTA only imaged one mid-ventricular
slice with ten repetitions.
Data
analysis: The mean and standard deviation (SD) of T1*
for each phantom vial, LV, and septal myocardium were calculated by manually delineating
the region of interest. SD was used to assess the T1*
precision. T1* reactivity is calculated as:$$${T_{1}^*}_{reactivity}\%=\frac{{T_1^*}_{post-stress}-{T_1^*}_{rest}}{{T_1^*}_{rest}}\times100$$$,
where T1*post-stress represents
T1* measured after stress and T1*rest is the mean value of two rest scans. Results
Phantom: In Figure 2A, when
spokes increased from 20 to 80, the coefficient of variation of all vials decreased
from 2.64% to 1.63% and the overall coefficient of variation was smaller than 3%.
Figure 2B show the mean and SD of T1* of each vial from 10
measurements by DELTA at the simulated heart rate of 60 bpm. The corresponding
relative ΔT1*%($$$\Delta{T_{1}^*}_{\textit{}i}\%=\frac{{T_1^*}_{\textit{i}}-{T_1^*}_{\textit{avg}}}{{T_1^*}_{avg}}\times100$$$, where
T1*avg was mean of ten measurements)
ranged from -1.5% to 1.8% (Figure 2C). In Figure 2D, the T1*
was nearly constant at different heart rates with low variation.
In
vivo: Figures
3 shows representative T1* maps of one healthy volunteer.
The mean LV and septal T1* measured by MOLLI5(3)3 and DELTA were 835±78ms and 929±65ms (P=0.01), and 863±87ms and 946±74ms (P=0.03),
respectively. SD of LV and septal T1* was 62±9ms and 67± 13ms
(P=0.25), 44±6ms and 46±8 ms (P=0.42), respectively. For DELTA, SD of ΔT1*
of LV and septal T1* were 4.4% and 4.5% respectively. Figure 4 shows T1*
maps of two healthy subjects imaged at rest and after two exercises. In
Figure 5A, the average septal T1* was 887±13ms and 901±22ms
measured at rest, and 983±35 ms, 946±21ms, 917±24ms, and 920±26ms measured after
the 1st exercise. The corresponding T1*reactivity
was 10.0±3.5%, 5.8±2.6%, 2.6±0.9%, and 2.9±1.1%. After the 2nd
exercise, the septal T1* and its reactivity
were 971±64 ms and 8.1±5.1% (Figure 5B).Discussion and Conclusion
Phantom T1* by DELTA
was heart-rate insensitive and had comparable precision to that from MOLLI.
The measured T1*reactivity of healthy subjects
was correlated with time after exercise-stress. In conclusion, DELTA can
quantify myocardium T1* and reveal changes in myocardial
tissue properties with stress using physiological exercise. Further studies are
warranted to establish the diagnostic accuracy of DELTA in detecting myocardial
ischemia. Acknowledgements
No acknowledgement found.References
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