Literature DB >> 9814767

In vitro verification of myocardial motion tracking from phase-contrast velocity data.

M Drangova1, Y Zhu, B Bowman, N J Pelc.   

Abstract

The ability to track motion from cine phase-contrast (PC) magnetic resonance (MR) velocity measurements was investigated using an in vitro model. A computer-controlled deformable phantom was used for the characterization of the accuracy and precision of the forward-backward and the compensated Fourier integration techniques. Trajectory accuracy is limited by temporal resolution when the forward-backward technique is used. With this technique the extent of the calculated trajectories is underestimated by an amount related to the motion period and the sequence repetition time, because of the band-limiting caused in the cine interpolation step. When the compensated Fourier integration technique is used, trajectory accuracy is independent of temporal resolution and is better than 1 mm for excursions of less than 15 mm, which are comparable to those observed in the myocardium. Measurement precision is dominated by the artifact level in the phase-contrast images. If no artifacts are present precision is limited by the inherent signal-to-noise ratio of the images. In the presence of artifacts, similar in magnitude to those observed in vivo, the reproducibility of tracking a 2.2 x 2.2 mm2 region of interest is better than 0.5 mm. When the Fourier integration technique is used, the improved accuracy is accompanied by a reduction in precision. We verified that tracking three-dimensional (3D) motion from velocity measurements of a single slice can lead to underestimations of the trajectory if there is a through-plane component of the motion that is not truly represented by the measured velocities. This underestimation can be overcome if volumetric cine phase-contrast velocity data are acquired and full three-dimensional analysis is performed.

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Year:  1998        PMID: 9814767     DOI: 10.1016/s0730-725x(98)00100-3

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  7 in total

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Review 2.  Cardiovascular nuclear magnetic resonance: basic and clinical applications.

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Journal:  J Clin Invest       Date:  2003-06       Impact factor: 14.808

3.  Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI.

Authors:  Xiaoxu Wang; Ting Chen; Shaoting Zhang; Joël Schaerer; Zhen Qian; Suejung Huh; Dimitris Metaxas; Leon Axel
Journal:  Magn Reson Imaging       Date:  2014-08-23       Impact factor: 2.546

4.  Accuracy of cardiac-induced brain motion measurement using displacement-encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI): A phantom study.

Authors:  Blaise Simplice Talla Nwotchouang; Maggie S Eppelheimer; Dipankar Biswas; Soroush Heidari Pahlavian; Xiaodong Zhong; John N Oshinski; Daniel L Barrow; Rouzbeh Amini; Francis Loth
Journal:  Magn Reson Med       Date:  2020-08-31       Impact factor: 4.668

5.  Volumetric motion quantification by 3D tissue phase mapped CMR.

Authors:  Anja Lutz; Jan Paul; Axel Bornstedt; G Ulrich Nienhaus; Patrick Etyngier; Peter Bernhardt; Wolfgang Rottbauer; Volker Rasche
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Review 6.  Cardiovascular magnetic resonance phase contrast imaging.

Authors:  Krishna S Nayak; Jon-Fredrik Nielsen; Matt A Bernstein; Michael Markl; Peter D Gatehouse; Rene M Botnar; David Saloner; Christine Lorenz; Han Wen; Bob S Hu; Frederick H Epstein; John N Oshinski; Subha V Raman
Journal:  J Cardiovasc Magn Reson       Date:  2015-08-09       Impact factor: 5.364

7.  Novel insight into the detailed myocardial motion and deformation of the rodent heart using high-resolution phase contrast cardiovascular magnetic resonance.

Authors:  Emil K S Espe; Jan Magnus Aronsen; Kristine Skårdal; Jürgen E Schneider; Lili Zhang; Ivar Sjaastad
Journal:  J Cardiovasc Magn Reson       Date:  2013-09-14       Impact factor: 5.364

  7 in total

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