Literature DB >> 29651683

Myocardial motion analysis based on an optical flow method using tagged MR images.

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


  19 in total

1.  Prognostic importance of systolic and diastolic function after acute myocardial infarction.

Authors:  Jacob E Møller; Kenneth Egstrup; Lars Køber; Steen H Poulsen; Ole Nyvad; Christian Torp-Pedersen
Journal:  Am Heart J       Date:  2003-01       Impact factor: 4.749

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Authors:  A H Aletras; S Ding; R S Balaban; H Wen
Journal:  J Magn Reson       Date:  1999-03       Impact factor: 2.229

3.  Motion estimation from tagged MR image sequences.

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Journal:  IEEE Trans Med Imaging       Date:  1992       Impact factor: 10.048

4.  3D myocardial tissue tracking with slice followed cine DENSE MRI.

Authors:  Bruce S Spottiswoode; Xiaodong Zhong; Christine H Lorenz; Bongani M Mayosi; Ernesta M Meintjes; Frederick H Epstein
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

5.  Optical flow estimation: an error analysis of gradient-based methods with local optimization.

Authors:  J K Kearney; W B Thompson; D L Boley
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1987-02       Impact factor: 6.226

6.  Cardiac systolic rotation and contraction before and after valve replacement for aortic stenosis: a myocardial tagging study using MR imaging.

Authors:  Joern J W Sandstede; Thorsten Johnson; Kerstin Harre; Meinrad Beer; Siegfried Hofmann; Thomas Pabst; Werner Kenn; Wolfram Voelker; Stefan Neubauer; Dietbert Hahn
Journal:  AJR Am J Roentgenol       Date:  2002-04       Impact factor: 3.959

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Myocardial tagging with MR imaging: overview of normal and pathologic findings.

Authors:  Mi-Young Jeung; Philippe Germain; Pierre Croisille; Soraya El ghannudi; Catherine Roy; Afshin Gangi
Journal:  Radiographics       Date:  2012 Sep-Oct       Impact factor: 5.333

9.  Myocardial tissue phase mapping with cine phase-contrast mr imaging: regional wall motion analysis in healthy volunteers.

Authors:  Steffen E Petersen; Bernd A Jung; Frank Wiesmann; Joseph B Selvanayagam; Jane M Francis; Juergen Hennig; Stefan Neubauer; Matthew D Robson
Journal:  Radiology       Date:  2006-01-19       Impact factor: 11.105

10.  Deformation analysis of 3D tagged cardiac images using an optical flow method.

Authors:  Chun Xu; James J Pilla; Gamaliel Isaac; Joseph H Gorman; Aaron S Blom; Robert C Gorman; Zhou Ling; Lawrence Dougherty
Journal:  J Cardiovasc Magn Reson       Date:  2010-03-30       Impact factor: 5.364

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  1 in total

1.  Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm.

Authors:  Tomoko Yamashita; Kohei Ozawa; Kazuyoshi Gamada
Journal:  J Phys Ther Sci       Date:  2020-02-14
  1 in total

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