2013
DOI: 10.1002/mrm.24905
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Numerical simulations of carotid MRI quantify the accuracy in measuring atherosclerotic plaque components in vivo

Abstract: Current clinical MRI can quantify carotid plaques but shows limitations for thin FC thickness quantification. These limitations could influence the reliability of carotid MRI for assessing plaque rupture risk associated with FC thickness. Overall, MRI simulations provide a feasible methodology for assessing segmentation and quantification accuracy, as well as for improving scan protocol design.

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Cited by 10 publications
(28 citation statements)
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“…The current clinically achievable resolution of in vivo MRI is a limiting factor in measuring submillimeter features such as thin FCs, which are especially present in vulnerable plaques [11,15,19,23,24]. This raises concern, because the sensitivity of biomechanical FEA plaque models to FC thickness is very high [13,14,25,26].…”
Section: Introductionmentioning
confidence: 99%
“…The current clinically achievable resolution of in vivo MRI is a limiting factor in measuring submillimeter features such as thin FCs, which are especially present in vulnerable plaques [11,15,19,23,24]. This raises concern, because the sensitivity of biomechanical FEA plaque models to FC thickness is very high [13,14,25,26].…”
Section: Introductionmentioning
confidence: 99%
“…These 32 cross sections were used in our previous studies. 15,16 A numeric MRI simulation consists of modeling MRI physics by solving the Bloch equations for a provided pulse sequence and ground truth computer sample model. The Jülich Extensible MRI Simulator was used for simulations.…”
Section: Noninvasive Imaging Demonstration: Mri Simulationsmentioning
confidence: 99%
“…17 A clinically applied, 2D, T1-weighted, turbo spin-echo, gadolinium contrast enhanced, black-blood sequence on a 3.0T full-body system was simulated. 15 The repetition/echo times were 800 ms/10 ms respectively. A reduced field-of-view of 37×37 mm 2 was simulated with a matrix size of 60×60.…”
Section: Noninvasive Imaging Demonstration: Mri Simulationsmentioning
confidence: 99%
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