Paul Kinchesh1, Philip D Allen1, John S Beech1, Stuart Gilchrist1, Ana L Gomes1, Veerle Kersemans1, Robert Newman1, Borivoj Vojnovic1, Michael Brady1, Ruth J Muschel1, and Sean C Smart1
1CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United Kingdom
Synopsis
Prospective gating
and automatic reacquisition of data corrupted by respiration motion were
implemented in variable flip angle (VFA) and actual flip angle imaging (AFI) scans
to enable cardio-respiratory synchronised T1
mapping of the whole mouse. T1
calculation for each mouse took approximately 6 s using a robust and efficient
nonlinear least squares process. 16 cardio-respiratory gated VFA scans and a
respiration gated AFI scan were acquired in less than 14 minutes. T1 was calculated in the
whole mouse with a voxel size of 0.075 mm3 and with a standard
deviation less than 6.2% within ROIs from multiple organs.
Introduction
The 3D steady state
Variable Flip Angle (VFA) method offers the best opportunity for fast and
accurate T1 measurement
when resolution, sample coverage, and sources of error are considered.1 Cardio-respiratory (CR) ‘spin-conditioned’ gating 2 is required to eliminate
motion artefacts from in vivo respiratory and cardiac functions during steady
state imaging close to the heart. The VFA method has been implemented in
cardiac MR with retrospective CR-gating using an interleaved navigator echo.3
However, retrospective gating is less efficient and offers less motion artefact
control than prospective techniques.4 The efficacy of prospective gating for
fast and accurate T1 mapping
is presented.Methods
Data were acquired
from CBA mice (n=4) on a 7.0 T preclinical MRI system. Anaesthesia was maintained with 1-3% isoflurane in a 1:5 O2:air
mixture. Respiration was monitored using a pressure balloon. ECG
needles were placed subcutaneously in the chest. An ECG setup free of gradient
noise is essential for prospective CR-gating at constant TR with rapidly
switched strong magnetic field gradients. A physiological monitoring system was used to generate
logic signals for the prospective R-gating and CR-gating strategies presented
in Figure 1 which include the automatic and immediate reacquisition of data
corrupted by respiration motion. A custom-built unit was used to set ECG logic
signals of suitable duration: greater than the time between successive logic
signal level reads (ideally the sequence TR); but shorter than the duration of
an imaging block acquired in response to the gating signal (typically several
TRs). Only the ECG signals that occur during inter breath periods were selected
for CR-gating. CR-gated VFA was performed with a 3D RF and gradient spoiled
gradient echo and TR 2.8 ms, TE 1.0 ms, FOV 108×27×27 mm3, matrix
256×64×64, hard pulse 16 μs, 16 FAs nominally set from 2° to 8° in steps of
0.4°, centric out phase encoding with 32 k-lines or 8 k-lines per R-wave. 3D B1 maps to quantify flip
angle prescription were acquired with a R-gated actual flip angle imaging (AFI)5
scan and TR1 10 ms, TR2 100 ms, TE 0.59 ms, FOV 108×27×27 mm3,
matrix 128×32×32, hard pulse 128 μs, nominal FA 64°. T1 calculation was performed with a robust and efficient
nonlinear least squares process since results of the widely accepted linear fit
are biased and can lead to overestimation of T1 by up to 20%.6Results
The automatic and
immediate reacquisition of data corrupted by respiration motion robustly
eliminates respiration motion artefact. Table 1 shows the duration of CR-gated
VFA scans and R-gated AFI scans used to generate 3D
T1 maps of the 4 mice together with the
T1 values of some example
tissues. Figure 2 shows example
T1
maps through the heart of mouse 1. The nonlinear least squares
T1 calculation took
approximately 6 s for each mouse. The image data and calculated
T1 maps are available
courtesy of the Bodleian Digital Library Systems and Services of the University
of Oxford at
http://dx.doi.org/10.5287/bodleian:a4awG5r7R. Image stability can
be inspected by selecting a plane in 3D data sets and scrolling through the
time course. Phantom data injected with noise to mimic in vivo stability
demonstrated that the VFA-AFI method is able to generate essentially the same
results as IR with a SD that was conservatively estimated to be less than 6.2% for
T1 values ranging from 400
ms to 2150 ms.
Discussion
The T1 values measured from VFA
scans with 32 k-lines per R-wave are in good agreement with those measured from
scans with 8 k-lines per R-wave that took four times longer, even for
myocardium. The duration of VFA scans with 32 k-lines per R-wave was 8.9 mins
on average whereas with 8 k-lines per R-wave it was 31.5 mins on average. The
results suggest that the scan time benefit of acquiring 32 k-lines per R-wave
does not significantly compromise data synchronisation with the cardiac R-wave.
Furthermore, it should be noted that the SDs for the cohort are lower in data
acquired with 32 k-lines per R-wave. Presumably this is a result of the
improved stability that results from the shorter scan time. The volumetric VFA
approach generates T1
weighting over a timescale of up to several T1
but maintains it with a timescale of TR which is 2.8 ms in this instance. Since
the heartbeat is much slower, synchrony with the cardiac R-wave can always be
achieved to within one TR, even in the presence of severe arrhythmia.
Conclusion
Prospective gating
and variable flip angle imaging enables fast and accurate cardio-respiratory
synchronised T1 mapping of
small animals.Acknowledgements
The
work presented was supported financially by Cancer Research UK (CRUK grants
C5255/A12678, C2522/A10339), the Engineering and Physical Sciences Research
Council (EPSRC grant C2522/A10339) and the Medical Research Council Unit Grant
for the Oxford Institute for Radiation Oncology. The authors thank John
Prentice and Gerald Shortland for mechanical workshop support.References
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