Joao Luis Tourais1, Markus Henningsson1, and Rene Botnar1
1King's College London, London, United Kingdom
Synopsis
Image navigator based
free-breathing whole heart 3D T2prep-based T2 mapping achieved similar accuracy
to a conventional 2D-BH T2prep-based mapping approach, and can be performed
within less than 5 minutes. With this approach the limitations of conventional
2D T2 mapping (low resolution, mis-registration and diaphragmatic motion between
BH) as well as 3D T2 mapping (unpredictable scan time because of navigator
gating) have been overcome. These promising results warrant further
investigation in patients with myocardial pathologies.Purpose
T2
mapping is becoming increasingly important for tissue characterization in
patients with myocardial pathologies (e.g. myocardial edema)
1. However,
clinical T2 mapping has been typically limited to 2D images acquired during
breath-holding (BH) resulting in low resolution images, mis-registration
in-between BH or motion during BH. Free-breathing 3D T2 mapping has been
proposed using respiratory motion correction by means of conventional
diaphragmatic 1D navigation (d1D NAV), but the scan time is unpredictable
2. 1D
self-navigated 3D T2 mapping has been proposed
3; this approach has, however,
the disadvantage that the 1D self-gating signal also contains contributions
from static tissue (e.g. chest wall). Recently, image-based navigation (iNAV)
4
has emerged as an alternative approach for respiratory motion correction, and
its accuracy demonstrated in coronary MR angiography. The iNAV allows for
direct respiratory motion estimation of the heart with 100% scan efficiency. The
purpose of this study was to implement and evaluate, for the first time, iNAV
motion correction for 3D T2 mapping on a 3T clinical scanner.
Methods
An
ECG-triggered pulse sequence with interleaved T2prep acquisitions preceded by
an iNAV for motion estimation and a saturation pulse to reset the magnetization
for every heartbeat was implemented, as shown in Figure 1. To generate T2 maps,
multiple ECG-triggered mid-diastolic images were acquired with varying degrees
of T2 weighting using T2prep pulses with three echo times (TE = 0, 26 and 46
ms). Two-dimensional iNAV were acquired for each k-space segment by spatially
encoding 8 startup pulses of a balanced steady state free precession (SSFP)
image acquisition. With this approach, translational respiratory induced motion
was directly measured on the heart and corrected for in foot-head and
left-right directions with 100% scan efficiency. A mono-exponential function was
fitted on a pixel-by-pixel basis to the series of images with incremental
T2prep echo time to generate a T2 map. T2 maps were acquired in 13 healthy
subjects (7 females, 6 males, 29 ± 6 years) using a 3T clinical scanner (Achieva,
Philips Healthcare, The Netherlands) covering the whole heart with 2mm
isotropic resolution. For comparison, a 3D T2 prep-based and d1D NAV corrected and
a 2D BH T2 prep-based T2 mapping sequence were acquired in the short-axis view.
Results
The
mean ±
standard deviation (SD) T2 values of the myocardium were 45.7 ± 5.7
ms, using the proposed free-breathing 3D T2-prep approach using the iNAV. The
T2 values did not display significant differences (p < 0.05) compared to
those obtained with the 3D T2prep d1D NAV corrected (47.1 ± 8.9 ms) and the BH 2D T2prep (46.1 ± 6.3 ms) T2 mapping sequence. The images
acquired with the proposed method are shown in Figure 2, including a short-axis
3D T2prep d1D NAV and 2D BH T2prep T2 map. The mean ±
SD scan time of the 3D
T2prep iNAV was 4:56 ± 1:50 minutes for the healthy subjects
while it was 14:20 ±
3:00 minutes for the 3D T2prep d1D NAV T2 mapping sequence.
Discussion and Conclusion
The
proposed image navigator based free-breathing high-resolution whole heart 3D T2
mapping approach is feasible and can be performed within less than 5 minutes
with similar accuracy to that of the lower-resolution 2D-BH T2 mapping
approach. These promising results warrant further investigation in patients
with acute myocardial infarction, myocarditis or heart transplantation.
Acknowledgements
This work was supported by a grant from the British
Heart Foundation (RG/12/1/29262)References
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