Literature DB >> 22294703

Signal-to-noise ratio increase in carotid atheroma MRI: a comparison of 1.5 and 3 T.

V E Young1, A J Patterson, E M Tunnicliffe, U Sadat, M J Graves, T Y Tang, A N Priest, P J Kirkpatrick, J H Gillard.   

Abstract

OBJECTIVES: This study reports quantitative comparisons of signal-to-noise ratio (SNR) at 1.5 and 3 T from images of carotid atheroma obtained using a multicontrast, cardiac-gated, blood-suppressed fast spin echo protocol.
METHODS: 18 subjects, with carotid atherosclerosis (>30% stenosis) confirmed on ultrasound, were imaged on both 1.5 and 3 T systems using phased-array coils with matched hardware specifications. T(1) weighted (T(1)W), T(2) weighted (T(2)W) and proton density-weighted (PDW) images were acquired with identical scan times. Multiple slices were prescribed to encompass both the carotid bifurcation and the plaque. Image quality was quantified using the SNR and contrast-to-noise ratio (CNR). A phantom experiment was also performed to validate the SNR method and confirm the size of the improvement in SNR. Comparisons of the SNR values from the vessel wall with muscle and plaque/lumen CNR measurements were performed at a patient level. To account for the multiple comparisons a Bonferroni correction was applied.
RESULTS: One subject was excluded from the protocol owing to image quality and protocol failure. The mean improvement in SNR in plaque was 1.9, 2.1 and 2.1 in T(1)W, T(2)W and PDW images, respectively. All plaque SNR improvements were statistically significant at the p<0.05 level. The phantom experiment reported an improvement in SNR of 2.4 for PDW images.
CONCLUSIONS: Significant gains in SNR can be obtained for carotid atheroma imaging at 3 T compared with 1.5 T. There was also a trend towards increased CNR. However, this was not significant after the application of the Bonferroni correction.

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Year:  2012        PMID: 22294703      PMCID: PMC3474060          DOI: 10.1259/bjr/70496948

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  18 in total

1.  Human cardiac imaging at 3 T using phased array coils.

Authors:  R Noeske; F Seifert; K H Rhein; H Rinneberg
Journal:  Magn Reson Med       Date:  2000-12       Impact factor: 4.668

2.  High-resolution black-blood MRI of the carotid vessel wall using phased-array coils at 1.5 and 3 Tesla.

Authors:  Seshasailaja Anumula; Hee Kwon Song; Alexander C Wright; Felix W Wehrli
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5.  Multicontrast black-blood MRI of carotid arteries: comparison between 1.5 and 3 tesla magnetic field strengths.

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6.  Tracking regression and progression of atherosclerosis in human carotid arteries using high-resolution magnetic resonance imaging.

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9.  Magnetic resonance images lipid, fibrous, calcified, hemorrhagic, and thrombotic components of human atherosclerosis in vivo.

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  5 in total

Review 1.  Advances in MRI for the evaluation of carotid atherosclerosis.

Authors:  G C Makris; Z Teng; A J Patterson; J-M Lin; V Young; M J Graves; J H Gillard
Journal:  Br J Radiol       Date:  2015-03-31       Impact factor: 3.039

2.  Added Value of 3D Proton-Density Weighted Images in Diagnosis of Intracranial Arterial Dissection.

Authors:  Jin Woo Kim; Na-Young Shin; Young Dae Kim; Seung-Koo Lee; Soo Mee Lim; Se Won Oh
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

3.  Three-dimensional black-blood multi-contrast carotid imaging using compressed sensing: a repeatability study.

Authors:  Jianmin Yuan; Ammara Usman; Scott A Reid; Kevin F King; Andrew J Patterson; Jonathan H Gillard; Martin J Graves
Journal:  MAGMA       Date:  2017-06-26       Impact factor: 2.310

Review 4.  Integrated cardiovascular assessment of atherosclerosis using PET/MRI.

Authors:  Nicholas R Evans; Jason M Tarkin; Elizabeth Pv Le; Rouchelle S Sriranjan; Andrej Corovic; Elizabeth A Warburton; James Hf Rudd
Journal:  Br J Radiol       Date:  2020-04-03       Impact factor: 3.039

5.  Comparison of Gated and Ungated Black-Blood Fast Spin-echo MRI of Carotid Vessel Wall at 3T.

Authors:  Chengcheng Zhu; Martin J Graves; Umar Sadat; Victoria E Young; Jonathan H Gillard; Andrew J Patterson
Journal:  Magn Reson Med Sci       Date:  2015-11-06       Impact factor: 2.471

  5 in total

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