Purpose
As real-time cine MRI methods for myocardial function assessment using parallel imaging typically yield relatively poor spatio-temporal resolution due to their low image acquisition speed,
high-quality real-time cine MR images that could be applied clinically for wall motion assessment and measurement of left ventricular function is subject of intense research1,2.
Compressed sensing (CS) has been demonstrated to accelerate MRI acquisitions by reconstructing sparse images of good quality from highly undersampled data.
Thereby,
acquisition time could be reduced to one breath-hold command3.
The aim of this...
Methods and Materials
Patients undergoing cardiac MRI on a 3 Tesla system (Magnetom Skyra,
Siemens Healthcare Sector,
Germany) underwent a single-breath-hold undersampled CS sequence and a fully-sampled multi-breath-hold sequence (FS) as reference standard.
LV volumetry was performed with dedicated software (Argus,
Siemens).
Agreement of CS and FS for ejection fraction (EF) and left ventricular end-dyastolic mass (LVEDM) was assessed with Bland-Altman-analysis and paired t-test.
Results
50 patients who underwent LGE sequences (34 men; 57 ± 13 years; 24 LGE+; 26 LGE-) were enrolled.
Preliminary analysis of 26 patients (8 LGE+,
18 LGE-) showed no significant differences for EF in LGE+ patients and in LGE- patients for CS compared to FS (LGE+: mean values: 40 vs.
45 %,
mean difference ± SD: -5±11 %,
limits of agreement: -26 to 16 % ,
p>0.05; and LGE-:52 vs.
55%,
-3±5%,
-12 to 7%,
p>0.05,
respectively).
(see Fig. 1 and Fig. 2 ).
Furthermore,...
Conclusion
Our preliminary results suggest that accurate LV volumetry with sparse CS data is also feasible in patients with myocardial structural inhomogenities.
However,
our findings indicate a trend towards better agreement of CS volumetry in LGE- patients.
References
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Feng L,
Srichai MB,
Lim RP,
et al: Highly accelerated real-time cardiac cine mri using k-t sparse-sense.
Magn Reson Med 70: 64-74,
2013
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Wech T,
Pickl W,
Tran-Gia J,
et al: Whole-heart cine mri in a single breath-hold--a compressed sensing accelerated 3d acquisition technique for assessment of cardiac function.
Rofo 186: 37-41,
2014