2014
DOI: 10.1016/j.medengphy.2014.07.006
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Predicting flow in aortic dissection: Comparison of computational model with PC-MRI velocity measurements

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Cited by 75 publications
(76 citation statements)
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References 12 publications
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“…Three time points were selected to compare PC-MRI and computed velocity contours: T1, mid-systolic acceleration; T2, peak systole, and T3 mid-systolic deceleration. No comparison was made in diastole as the patch-wise nature of PC-MRI acquisition is amplified, due to the relatively lower velocities, making the comparison less reliable(Cheng et al, 2014).Overall, results obtained with all OBCs show a main flow direction from superior to inferior (positive velocity values), in agreement with the PC-MR images. At mid-systolic acceleration (T1), only OBC1 correctly captured the high velocity in the central-anterior side of the aorta.The pattern of PC-MRI velocity contours suggested the presence of secondary flow, particularly in the posterior region, and this pattern was only reproduced in the simulation results with OBC1 and, to a lesser extent, OBC2.…”
mentioning
confidence: 67%
“…Three time points were selected to compare PC-MRI and computed velocity contours: T1, mid-systolic acceleration; T2, peak systole, and T3 mid-systolic deceleration. No comparison was made in diastole as the patch-wise nature of PC-MRI acquisition is amplified, due to the relatively lower velocities, making the comparison less reliable(Cheng et al, 2014).Overall, results obtained with all OBCs show a main flow direction from superior to inferior (positive velocity values), in agreement with the PC-MR images. At mid-systolic acceleration (T1), only OBC1 correctly captured the high velocity in the central-anterior side of the aorta.The pattern of PC-MRI velocity contours suggested the presence of secondary flow, particularly in the posterior region, and this pattern was only reproduced in the simulation results with OBC1 and, to a lesser extent, OBC2.…”
mentioning
confidence: 67%
“…CFD is the only non-invasive investigation that may provide information on pressure. Although CFD may not truly reflect the hemodynamic state of aorta due to the bounding conditions set up by the assumptions, comparison of velocity contours between PC-MRI and CFD in the two lumens of aortic dissection in a model with a rigid wall assumption and exclusion of arch branches has confirmed that CFD successfully captures the complex regions of flow reversal and recirculation qualitatively; however, quantitative differences exist [24].…”
Section: Discussionmentioning
confidence: 99%
“…Refinement of the mesh in the boundary layer is critical and was shown to change the resulting velocity, pressure and WSS by 9, 30 and 24%, respectively. 9 More recently, Cheng et al 10 also used pcMRI data while using a highly refined computational mesh with adequate boundary layer. This work perhaps represents the state of the art in computational simulation of Type B AoD.…”
Section: Variations In Modelling Approachmentioning
confidence: 99%