Work Description

Title: Effects of Age-Associated Regional Changes in Aortic Stiffness on Human Hemodynamics Revealed by Computational Modeling Open Access Deposited

h
Attribute Value
Methodology
  • Manual segmentation and lofting of aortic geometries corresponding to 30 (patient-specific), and 40, 60, and 75 year old (virtually-aged) subjects. The lofted geometries result in a NURBS representation of the luminal boundary of the vessels. Then, a surface triangulation was performed to produce a vtk file for each specimen.
Description
  • Magnetic resonance angiography (MRA) of the aorta of a 30 yo healthy volunteer, segmented and discretized using the software CRIMSON ( www.crimson.software). Additionally, models corresponding to virtually-aged aortic geometries at ages: 40, 60, and 75.
Creator
Depositor
  • figueroc@umich.edu
Contact information
Discipline
Keyword
Citations to related material
  • Cuomo F, Roccabianca S, Dillon-Murphy D, Xiao N, Humphrey JD, Figueroa CA (2017) Effects of age-associated regional changes in aortic stiffness on human hemodynamics revealed by computational modeling. PLoS ONE 12(3): e0173177. https://doi.org/10.1371/journal.pone.0173177
Resource type
Last modified
  • 05/16/2018
Published
  • 11/18/2016
Language
DOI
  • https://doi.org/10.7302/Z24B2Z7Z
License
To Cite this Work:
Figueroa, C. A. (2016). Effects of Age-Associated Regional Changes in Aortic Stiffness on Human Hemodynamics Revealed by Computational Modeling [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/Z24B2Z7Z

Relationships

This work is not a member of any user collections.

Files (Count: 4; Size: 225 MB)

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.