| Literature DB >> 29651683 |
Daiki Tabata1,2, Haruo Isoda3,4, Kaori Kato5, Hiroki Matsubara5, Takafumi Kosugi6, Takashi Kosugi6, Masaki Terada7, Atsushi Fukuyama1, Yoshiaki Komori8, Shinji Naganawa9,10.
Abstract
We developed a method of velocimetry based on an optical flow method using quantitative analyses of tagged magnetic resonance (MR) images (tagged MR-optical flow velocimetry, tMR-O velocimetry). The purpose of our study was to examine the accuracy of measurement of the proposed tMR-O velocimetry. We performed retrospective pseudo-electrocardiogram (ECG) gating tagged cine MR imaging on a rotating phantom. We optimized imaging parameters for tagged MR imaging, and validated the accuracy of tMR-O velocimetry. Our results indicated that the difference between the reference velocities and the computed velocities measured using optimal imaging parameters was less than 1%. In addition, we performed tMR-O velocimetry and echocardiography on 10 healthy volunteers, for four sections of the heart (apical, midventricular, and basal sections aligned with the short-axis, and a four-chamber section aligned with the long-axis), and obtained radial and longitudinal myocardial velocities in these sections. We compared the myocardial velocities obtained using tMR-O velocimetry with those obtained using echocardiography. Our results showed good agreement between tMR-O velocimetry and echocardiography in the radial myocardial velocities in three short-axial sections and longitudinal myocardial velocities on the midventricular portion of the four-chamber section in the long-axis. In the study conducted on the rotating phantom, tMR-O velocimetry showed high accuracy; moreover, in the healthy volunteers, the myocardial velocities obtained using tMR-O velocimetry were relatively similar to those obtained using echocardiography. In conclusion, tMR-O velocimetry is a potentially feasible method for analyzing myocardial motion in the human heart.Entities:
Keywords: Echocardiography; Myocardial motion; Myocardium; Optical flow; Tagged MR imaging
Mesh:
Year: 2018 PMID: 29651683 DOI: 10.1007/s12194-018-0456-3
Source DB: PubMed Journal: Radiol Phys Technol ISSN: 1865-0333