Zijing Zhang1, Fei FENG1, Yulong Qi1, Hui Zhang1, and Guanxun Cheng1
1Peking University Shenzhen Hospital, ShenZhen, China
Synopsis
Keywords: Heart, Cardiomyopathy
Cardiac
magnetic resonance (CMR) imaging is the gold standard for non-invasive
evaluation of cardiac structure and function. Conventional 2D segmented
steady-state free precession cine imaging(Standrad-Cine)is
widely used but the scanning time is long. Artificial intelligence-assisted
compressed sensing(ACS)is a new
technology that can reduce the scanning time and improve image quality. By
comparing the image quality and left ventricular function (LVF) of CMR sequence
based on Standrad-Cine and ACS-Cine, we found that the use of ACS-Cine can
significantly reduce the scanning time while obtaining high-quality and accurate
parameters images.
Introduction
Cardiac magnetic resonance (CMR) is the
favored modality for cardiac structure and function because of its multiplanar
capabilities, repeatable and excellent soft-tissue contrast. The use of 2D segmented steady-state free precession cine sequence(Standard-Cine) for imaging
can obtain high-quality left heart images, but the conventional Standard-Cine
sequence requires the patient to hold breath for many times, which need scan long
time and may cause spontaneous or involuntary movement due to the patient's
discomfort resulting in artifacts in the image. ACS-Cine imaging has the characteristics of real-time,
real imaging, sparse data sampling and iterative reconstruction, and can obtain
the whole left ventricle image with a single breath hold. This study is
based on artificial intelligence-assisted compressed sensing (ACS) MR imaging
sequence (artificial intelligence-assisted compressed sensing 2D steady-state
free precession cine) to explore the feasibility of this technique in
evaluating left ventricular function.
Materials and Methods
This
study has been approved by the local IRB. Recruit 20 healthy volunteers
(male=7, female=9, age 21-61, 29.85±10.67), using uMR 780 3.0 T from United
Imaging, China, using ACS-Cine and Standard-Cine sequence for left
heart function imaging, scanning parameters were shown in Table 1. Each
volunteer obtains 2 sets of data and records the scanning time of each set. Use
uWS-780 workstation (United
Imaging, China) to obtain
cardiac
function parameters including left ventricular end systolic volume (LVESV), left
ventricular end diastolic volume (LVEDV), stroke volume (SV), left ventricular
ejection fraction (LVEF) and left ventricular mass, (LVmass) of two sequences. The
ICC and Bland-Altman were applied to evaluate the consistency of the functional
imaging parameters of the two imaging methods. A five-point scoring criterion was used for
subjective scoring, and the kappa test and Wilcoxon paired rank sum test were
applied for comparative analysis of image quality.
Result
The
subjective scores of image quality of the two groups were highly consistent (P<0.05), and there was
no significant difference between the two groups (P>0.05).
The results of cardiac function measured by two observers were in good
agreement (P<0.05). The Bland Altman analysis results show that more than
95% of the cardiac function parameters measured are within the consistency
range (fig.1-2).
Discussion and Conclusion
The
use of ACS-Cine sequence for left heart function scan can significantly reduce the
scanning time (16s vs, 77s, 79.22%) and is comparable to the conventional plan
image.Acknowledgements
N/AReferences
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