Improved workflow for quantification of left ventricular volumes and mass using free-breathing motion corrected cine imaging

作者：R. J. Cross, Laura Olivieri, Kendall O’Brien, Peter Kellman, Hui Xue, Michael S. Hansen · 发表于：Journal of Cardiovascular Magnetic Resonance · 年份：2016 · DOI：10.1186/s12968-016-0231-8 · 被引用次数：30 · 研究领域：Advanced MRI Techniques and Applications、Cardiovascular Function and Risk Factors、Cardiac Imaging and Diagnostics

BACKGROUND: Traditional cine imaging for cardiac functional assessment requires breath-holding, which can be problematic in some situations. Free-breathing techniques have relied on multiple averages or real-time imaging, producing images that can be spatially and/or temporally blurred. To overcome this, methods have been developed to acquire real-time images over multiple cardiac cycles, which are subsequently motion corrected and reformatted to yield a single image series displaying one cardiac cycle with high temporal and spatial resolution. Application of these algorithms has required significant additional reconstruction time. The use of distributed computing was recently proposed as a way to improve clinical workflow with such algorithms. In this study, we have deployed a distributed computing version of motion corrected re-binning reconstruction for free-breathing evaluation of cardiac function. METHODS: Twenty five patients and 25 volunteers underwent cardiovascular magnetic resonance (CMR) for evaluation of left ventricular end-systolic volume (ESV), end-diastolic volume (EDV), and end-diastolic mass. Measurements using motion corrected re-binning were compared to those using breath-held SSFP and to free-breathing SSFP with multiple averages, and were performed by two independent observers. Pearson correlation coefficients and Bland-Altman plots tested agreement across techniques. Concordance correlation coefficient and Bland-Altman analysis tested inter-observer var...