An automatic 14-plane slice-alignment method successfully detected all cardiac planes in 55 datasets from 23 healthy volunteers with a processing time of approximately 2.5 seconds.
The development of an automatic 14-plane slice-alignment method for CMR could simplify and accelerate the complex slice-alignment process for valvular heart disease imaging.
Background Cardiac MRI examinations for valvular heart diseases have recently been a focus of attention 1. However, the slice-alignment settings for valvular heart diseases are complex, difficult, and time-consuming operations. The purpose of this study is to develop an advanced automatic slice-alignment method that simultaneously detects the six left-ventricular planes (vertical long-axis, horizontal long-axis, short-axis, 4-chamber, 2-chamber, and 3-chamber views), the four right-ventricular planes (short-axis, 4-chamber, 2-chamber, and 3-chamber views), and also the four cardiac valvular planes (LVOT, RVOT, aortic valve, and pulmonary valve views) by extension of a previous work 2. “’How I do’ CMR in valvular heart disease”, http://www.scmr.org.
Nitta et al. (Wed,) conducted a other in Healthy volunteers (n=23). Automatic 14-plane slice-alignment method vs. Manual annotation was evaluated on Successful detection of cardiac planes. An automatic 14-plane slice-alignment method successfully detected all cardiac planes in 55 datasets from 23 healthy volunteers with a processing time of approximately 2.5 seconds.