MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta
Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta
Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta
Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta
Journal Article

Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta

2015
Request Book From Autostore and Choose the Collection Method
Overview
We present a computational method for calculating the distribution of wall shear stress (WSS) in the aorta based on a velocity field obtained from two-dimensional (2D) phase-contrast magnetic resonance imaging (PC-MRI) data and a finite-element method. The WSS vector was obtained from a global least-squares stress-projection method. The method was benchmarked against the Womersley model, and the robustness was assessed by changing resolution, noise, and positioning of the vessel wall. To showcase the applicability of the method, we report the axial, circumferential and magnitude of the WSS using in-vivo data from five volunteers. Our results showed that WSS values obtained with our method were in good agreement with those obtained from the Womersley model. The results for the WSS contour means showed a systematic but decreasing bias when the pixel size was reduced. The proposed method proved to be robust to changes in noise level, and an incorrect position of the vessel wall showed large errors when the pixel size was decreased. In volunteers, the results obtained were in good agreement with those found in the literature. In summary, we have proposed a novel image-based computational method for the estimation of WSS on vessel sections with arbitrary cross-section geometry that is robust in the presence of noise and boundary misplacements.

MBRLCatalogueRelatedBooks