Literature DB >> 9894493

Automatic accurate non-invasive quantitation of blood flow, cross-sectional vessel area, and wall shear stress by modelling of magnetic resonance velocity data.

S Oyre1, W P Paaske, S Ringgaard, S Kozerke, M Erlandsen, P Boesiger, E M Pedersen.   

Abstract

OBJECTIVES: To apply a new, automatic and non-invasive method for quantification of blood flow, dynamic cross-sectional vessel area, and wall shear stress (WSS) by in vivo magnetic resonance velocity mapping of normal subjects.
DESIGN: Prospective, open study. MATERIALS: Six young volunteers.
METHODS: A three-dimensional paraboloid model enabling automatic determination of blood flow, vessel distensibility and WSS was applied to blood velocity determinations in the common carotid artery. Blood flow was also determined by a manual edge detection method.
RESULTS: Using the new method, the common carotid mean blood flow was 7.28 (5.61-9.63) (mean (range)) ml/s. By the manual-method blood flow was 7.21 (5.55-9.60) ml/s. Mean luminal vessel area was 26% larger in peak systole than in diastole. Mean/peak WSS was 0.82/2.28 N/m2. Manually and automatically determined flows correlated (r2 = 0.998, p < 0.0001). WSS and peak centre velocity were associated (r2 = 0.805, p < 0.0001).
CONCLUSIONS: Blood flow, luminal vessel area dilatation, and WSS can be determined by the automatic three-dimensional paraboloid method. The hypothesis of association between peak centre velocity and WSS was not contradicted by the results of the present study.

Mesh:

Year:  1998        PMID: 9894493     DOI: 10.1016/s1078-5884(98)80244-x

Source DB:  PubMed          Journal:  Eur J Vasc Endovasc Surg        ISSN: 1078-5884            Impact factor:   7.069


  6 in total

1.  Spatial distribution of wall shear stress in common carotid artery by color Doppler flow imaging.

Authors:  Chao Wang; Ming Chen; Sheng-lin Liu; Yi Liu; Jia-mei Jin; Yu-hui Zhang
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

Review 2.  Comprehensive 4D velocity mapping of the heart and great vessels by cardiovascular magnetic resonance.

Authors:  Michael Markl; Philip J Kilner; Tino Ebbers
Journal:  J Cardiovasc Magn Reson       Date:  2011-01-14       Impact factor: 5.364

3.  Accelerated phase contrast flow imaging with direct complex difference reconstruction.

Authors:  Aiqi Sun; Bo Zhao; Ke Ma; Zechen Zhou; Le He; Rui Li; Chun Yuan
Journal:  Magn Reson Med       Date:  2016-03-26       Impact factor: 4.668

4.  Improved acceleration of phase-contrast flow imaging with magnitude difference regularization.

Authors:  Taehoon Shin; Wanyong Shin
Journal:  Magn Reson Imaging       Date:  2019-12-02       Impact factor: 2.546

Review 5.  Advanced flow MRI: emerging techniques and applications.

Authors:  M Markl; S Schnell; C Wu; E Bollache; K Jarvis; A J Barker; J D Robinson; C K Rigsby
Journal:  Clin Radiol       Date:  2016-03-02       Impact factor: 2.350

6.  Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging.

Authors:  Francesco Secchi; Caterina Beatrice Monti; Davide Capra; Renato Vitale; Daniela Mazzaccaro; Michele Conti; Ning Jin; Daniel Giese; Giovanni Nano; Francesco Sardanelli; Massimiliano M Marrocco-Trischitta
Journal:  Tomography       Date:  2021-09-28
  6 in total

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