Amir Ali Rahsepar1, Haris Saybasili 2, Ahmadreza Ghasemiesfe 1, Bruce Spottiswoode 2, Ann Ragin1, Jeremy Collins 1, and James Carr1
1Radiology, Northwestern University, Chicago, IL, United States, 2Siemens Medical Solutions, Siemens Healthcare, Chicago, IL, United States
Synopsis
In this study, we presented a novel technique to extract cine cardiac cycle without respiratory
motion from real-time free-breathing images with unsupervised motion correction.Introduction
Breath-held, ECG gated, segmented
cine imaging is the reference standard to measure ventricular systolic function
and volume with magnetic resonance imaging (MRI). This technique, however, has
limitations in patients with arrhythmia and difficulty breath-holding. An
alternative strategy, free-breathing real-time (RT) imaging, can acquire each
imaging frame in a single step; however, poor temporal/spatial resolution limits
the image quality. An unsupervised motion correction technique for
free-breathing RT cardiac imaging, reconstructed motion corrected-RT (MOCO)-RT,
has been proposed [1] with preliminary validation in healthy volunteers. In
this study, we validate this method for clinical use in patients comparing it
to the reference standard segmented balanced steady state free precession
(bSSFP) cine imaging.
Methods
Segmented bSSFP cine images at end
expiration and free-breathing RT images (Cartesian, TGRAPPA factor 4) were
acquired with the same spatial/temporal resolution (192 base matrix, 45 ms
temporal resolution) in 42 patients (age: 54.73±15.25, 71.5% Male) using
clinical 1.5-Tesla MR scanners (MAGNETOM Aera and Avanto, Siemens Healthcare,
Erlangen, Germany) in this IRB approved study. A full short-axis stack (9-11
slices, 6-8 mm slice thickness) was obtained. RT cardiac images were acquired for
approximately 16 beats per slice. For each slice, interpolated images were
averaged to obtain an initial reference image corresponding to the most common
organ positions for the individual subject, typically a diastolic cardiac phase
at end-expiration. Non-rigid unsupervised motion correction was applied, as
described elsewhere [1]. Both conventional segmented and MOCO-RT single
heartbeat cine images were analyzed to evaluate left ventricular (LV) function,
mass and volume (Syngo Argus, Siemens Healthcare, Erlangen, Germany). An
experienced radiologist scored images for overall image quality, artifact and
noise using a 5-point Likert scale. Wall motion abnormalities (WMA) were scored
as a dicohotomous variable (present, absent) in the 16 segment AHA model. These
ratings were summed across all 16 segments to derive a global WMA score and
scores for basal, mid LV and apical regions. Intraclass correlation coefficient
(ICC) was used to assess the reliability of MOCO-RT measurement of LV function
and volume using SPSS.
Results
Diagnostic images were acquired in
all 42 patients using the MOCO-RT approach. Figure 1 presents images for two subjects
with good and poor breath-holding capabilities. ICC showed excellent reliability
(ICC>80%) of MOCO-RT with segmented cine in measuring LV function, mass and
volume (Table 1). Comparison of the qualitative ratings indicated higher image
quality than either segmented cine or conventional RT technique (p<0.05). Artifact
ratings were generally lower and noise levels were comparable. Eight subjects
with WMA were found in this study. Comparison of WMA scores indicated no
differences between MOCO-RT and segmented methods, but RT images showed a
superior capability of identifying patients with WMA, particularly in patients
with “regional” WMA (Figure 2). However, because of the small number of
subjects with WMA the comparison failed to show a statistically significant
difference.
Conclusion
We have presented a novel technique
that generates single heartbeat, high SNR cine images at end expiration
respiratory phase derived from multiple heartbeat, free-breathing RT images. This
validation study in clinical patients indicates that LV measurements obtained
with MOCO-RT show excellent reliability with the current gold standard
segmented cine images. The free-breathing MOCO-RT technique may have
considerable clinical utility in cardiac MRI for uncooperative patients who
have difficulty with breath holding and in patients with arrhythmia. MOCO-RT
technique does not require breath-holding and produces comparable cardiac
function, volumes and myocardial mass measurements compared with conventional
methods while providing better image quality, less artifact and probably better
capability of diagnosing WMA.
Acknowledgements
No acknowledgement found.References
[1]
Saybasili Haris, et al. Extracting a cine cardiac cycle without respiratory
motion from real-time free-breathing images with unsupervised motion
correction, ISMRM 2015.