Literature DB >> 8413012

Mechanisms of signal loss in magnetic resonance imaging of stenoses.

J C Gatenby1, T R McCauley, J C Gore.   

Abstract

Some of the factors affecting the signal losses that occur in magnetic resonance images at a stenosis or other region of complex flow have been evaluated. The important determinants of dephasing within a volume element are the net gradient moments, which can be kept small even at long echo times. For compact gradient wave forms, the echo time by itself is unimportant and does not affect signal losses. Reducing the fraction of echo sampled is an alternate method to velocity compensation for reducing gradient moment dephasing that keeps higher moments small. The effects of reducing the fraction of echo sampled on the signal losses in flow distal to a stenosis have been measured experimentally. Another source of signal loss at a stenosis is the variation of the mean phase within a volume element that occurs for flow that varies from one phase encoded view to another. Changes in flow behavior between acquisitions lead to signal displacement in the image. These view to view changes have also been quantified.

Mesh:

Year:  1993        PMID: 8413012     DOI: 10.1118/1.597001

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Gadolinium contrast-enhanced three-dimensional MRA of peripheral arteries with multiple bolus injection: scan optimization in vitro and in vivo.

Authors:  J J Westenberg; M N Wasser; R J van der Geest; P M Pattynama; A de Roos; J Vanderschoot; J H Reiber
Journal:  Int J Card Imaging       Date:  1999-04

2.  Stenosis quantification from post-stenotic signal loss in phase-contrast MRA datasets of flow phantoms and renal arteries.

Authors:  J J Westenberg; R J van der Geest; M N Wasser; J Doornbos; P M Pattynama; A de Roos; J Vanderschoot; J H Reiber
Journal:  Int J Card Imaging       Date:  1999-12

3.  In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation.

Authors:  Amirhossein Arzani; Petter Dyverfeldt; Tino Ebbers; Shawn C Shadden
Journal:  Ann Biomed Eng       Date:  2011-10-21       Impact factor: 3.934

4.  Improvement in visualization of carotid artery uniformity using silent magnetic resonance angiography.

Authors:  Yasuhiro Fujiwara; Yoshiyuki Muranaka
Journal:  Radiol Phys Technol       Date:  2016-09-08

5.  Time-of-flight MR angiography of carotid artery stenosis: does a flow void represent severe stenosis?

Authors:  Paul J Nederkoorn; Yolanda van der Graaf; Bert C Eikelboom; Aad van der Lugt; Lambertus W Bartels; Willem P T M Mali
Journal:  AJNR Am J Neuroradiol       Date:  2002 Nov-Dec       Impact factor: 3.825

6.  Quantification of Mitral Valve Regurgitation from 4D Flow MRI Using Semiautomated Flow Tracking.

Authors:  Carmen P S Blanken; Jos J M Westenberg; Jean-Paul Aben; Geertruida P Bijvoet; Steven A J Chamuleau; S Matthijs Boekholdt; Aart J Nederveen; Tim Leiner; Pim van Ooij; R Nils Planken
Journal:  Radiol Cardiothorac Imaging       Date:  2020-10-15

7.  Cyclic motion encoding for enhanced MR visualization of slip interfaces.

Authors:  Yogesh K Mariappan; Kevin J Glaser; Armando Manduca; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2009-10       Impact factor: 4.813

Review 8.  Are Movement Artifacts in Magnetic Resonance Imaging a Real Problem?-A Narrative Review.

Authors:  Inger Havsteen; Anders Ohlhues; Kristoffer H Madsen; Janus Damm Nybing; Hanne Christensen; Anders Christensen
Journal:  Front Neurol       Date:  2017-05-30       Impact factor: 4.003

9.  Aortic valve stenotic area calculation from phase contrast cardiovascular magnetic resonance: the importance of short echo time.

Authors:  Kieran R O'Brien; Ruvin S Gabriel; Andreas Greiser; Brett R Cowan; Alistair A Young; Andrew J Kerr
Journal:  J Cardiovasc Magn Reson       Date:  2009-11-19       Impact factor: 5.364

  9 in total

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