Abstract
Background Echocardiography has shown that patients with constrictive pericarditis or hemodynamically significant pericardial effusion show an increased respiratory variation in early transmitral inflow velocity. The methodology for quantification of respiratory variation in early transmitral inflow velocity using real time phase contrast (RT-PC) cardiovascular magnetic resonance (CMR) images is currently cumbersome and manual. The aim of this study was to develop a method for quantifying the respiratory variation in early transmitral inflow velocity using semiautomatic analysis of RT-PC CMR images.
Highlights
Echocardiography has shown that patients with constrictive pericarditis or hemodynamically significant pericardial effusion show an increased respiratory variation in early transmitral inflow velocity
The aim of this study was to develop a method for quantifying the respiratory variation in early transmitral inflow velocity using semiautomatic analysis of real time phase contrast (RT-PC) cardiovascular magnetic resonance (CMR) images
The user manually delineated a region of interest encompassing the mitral orifice, and the software automatically identified the contiguous 10 s period of time with the lowest variation in per-beat peak early transmitral inflow velocity
Summary
Echocardiography has shown that patients with constrictive pericarditis or hemodynamically significant pericardial effusion show an increased respiratory variation in early transmitral inflow velocity. The methodology for quantification of respiratory variation in early transmitral inflow velocity using real time phase contrast (RT-PC) cardiovascular magnetic resonance (CMR) images is currently cumbersome and manual. The aim of this study was to develop a method for quantifying the respiratory variation in early transmitral inflow velocity using semiautomatic analysis of RT-PC CMR images
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