Unsupervised Fully Automated Inline Analysis of Global Left Ventricular Function in CINE MR Imaging

Abstract

Unsupervised fully automated segmentation and contouring during image reconstruction enables an accurate evaluation of global systolic cardiac function.

Improved workflow for quantifying left ventricular function via cardiorespiratory‐resolved analysis of free‐breathing MR real‐time cines

“…and EF values measured with the proposed method were highly correlated with those obtained from the manual analysis, and small average differences were exhibited with variability of Bland-Altman plots comparable to published results in equivalent studies, 26,30 suggesting the reliability of the proposed approach for the efficient and accurate quantification of LV functions. Despite of the underestimated volume arising from the currently used nonzero slice gap, comparison of the two methods would not be affected in analyzing the same data.…”

Parallel MR imaging

“…Parallel imaging is frequently used to reduce breath‐hold duration and increase comfort for patients with advanced cardiac disorders. The improvements in temporal resolution have increased frame rates in cardiac cine imaging (31), allowing a better examination of cardiac morphology, wall motion abnormalities, and valve diseases (32). Spatial and temporal resolution improvements have contributed to more accurate assessments of cardiac function (33, 34) and myocardial perfusion (35, 36).…”

A radial self‐calibrated (RASCAL) generalized autocalibrating partially parallel acquisition (GRAPPA) method using weight interpolation

“…One of the most successful methods to shorten scan time has been parallel imaging, which utilizes data from multiple receiver coils with varying spatial sensitivities to reduce aliasing artifact when sampling below the Nyquist limit (1–4). Parallel imaging has had a profound impact on all MRI techniques, including cardiac functional imaging (5,6), angiography (7,8), diffusion weighted liver imaging (9), and spectroscopy (10). …”