Literature DB >> 15282812

Factors affecting the accuracy of pressure measurements in vascular stenoses from phase-contrast MRI.

Abbas Nasiraei-Moghaddam1, Geoffrey Behrens, Nasser Fatouraee, Ramesh Agarwal, Eric T Choi, Amir A Amini.   

Abstract

In this work the effects of noise, resolution, and velocity (flow) on the measurement of intravascular pressure from phase-contrast (PC) MRI are discussed. To elucidate these effects, we employed an axisymmetric geometry that enabled us to calculate pressures in <2 min on a Sun Ultra SPARC 10 workstation. To determine the effects of vascular stenoses, we fabricated several stenotic phantom geometries (with 50%, 75%, and 90% area stenoses), and performed both MRI and computational fluid dynamics (CFD) simulations for various flow rates for these phantom geometries. Noise with Gaussian statistics was added to the velocity field obtained from the CFD simulations. The pressure maps obtained directly from CFD simulations for our phantom geometries were compared with pressure maps derived by our algorithm when 1) the input was noise-corrupted velocity data from CFD, and 2) the input was PC-MRI data collected from the phantoms. The quantitative effects of noise, resolution, and flow rate on the accuracy of pressure measurements were determined. We found that for flow rates below the Reynolds number for turbulent flow, resolution is a more significant determinant of accuracy than SNR. Furthermore, if other parameters remain constant, increased flow rates may result in decreased accuracy.

Mesh:

Year:  2004        PMID: 15282812     DOI: 10.1002/mrm.20152

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  7 in total

1.  In vivo evaluation of quantitative MR angiography in a canine carotid artery stenosis model.

Authors:  M Calderon-Arnulphi; S Amin-Hanjani; A Alaraj; M Zhao; X Du; S Ruland; X J Zhou; K R Thulborn; F T Charbel
Journal:  AJNR Am J Neuroradiol       Date:  2011-08-11       Impact factor: 3.825

2.  Phase-Contrast Magnetic Resonance Quantification of Aortic Regurgitation in Patients With Turbulent Aortic Flow.

Authors:  Elizabeth Lee; Blair Richards; Jimmy C Lu; Maryam Ghadimi Mahani; Adam L Dorfman; Sowmya Balasubramanian; Prachi P Agarwal
Journal:  J Comput Assist Tomogr       Date:  2019 Mar/Apr       Impact factor: 1.826

3.  Physiologic and anatomic assessment of a canine carotid artery stenosis model utilizing phase contrast with vastly undersampled isotropic projection imaging.

Authors:  A S Turk; K M Johnson; D Lum; D Niemann; B Aagaard-Kienitz; D Consigny; J Grinde; P Turski; V Haughton; C Mistretta
Journal:  AJNR Am J Neuroradiol       Date:  2007-01       Impact factor: 3.825

4.  Dual-Venc acquisition for 4D flow MRI in aortic stenosis with spiral readouts.

Authors:  Sean Callahan; Narayana S Singam; Michael Kendrick; M J Negahdar; Hui Wang; Marcus F Stoddard; Amir A Amini
Journal:  J Magn Reson Imaging       Date:  2019-12-18       Impact factor: 4.813

5.  Noninvasive measurement of pressure gradient across a coronary stenosis using phase contrast (PC)-MRI: A feasibility study.

Authors:  Zixin Deng; Zhaoyang Fan; Sang-Eun Lee; Christopher Nguyen; Yibin Xie; Jianing Pang; Xiaoming Bi; Qi Yang; Byoung-Wook Choi; Jung-Sun Kim; Daniel Berman; Hyuk-Jae Chang; Debiao Li
Journal:  Magn Reson Med       Date:  2016-12-26       Impact factor: 4.668

6.  Relative pressure estimation from 4D flow MRI using generalized Bernoulli equation in a phantom model of arterial stenosis.

Authors:  Amirkhosro Kazemi; Daniel A Padgett; Sean Callahan; Marcus Stoddard; Amir A Amini
Journal:  MAGMA       Date:  2022-02-17       Impact factor: 2.533

7.  Aortic and mitral flow quantification using dynamic valve tracking and machine learning: Prospective study assessing static and dynamic plane repeatability, variability and agreement.

Authors:  Julio Garcia; Kailey Beckie; Ali F Hassanabad; Alireza Sojoudi; James A White
Journal:  JRSM Cardiovasc Dis       Date:  2021-02-27
  7 in total

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