Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Feasibility of patient specific aortic blood flow CFD simulation.

Svensson, Johan LU ; Gårdhagen, Roland ; Heiberg, Einar LU ; Ebbers, Tino ; Loyd, Dan ; Länne, Toste and Karlsson, Matts (2006) In Lecture Notes in Computer Science (LNCS) 9(4190). p.257-263
Abstract

Patient specific modelling of the blood flow through the human aorta is performed using computational fluid dynamics (CFD) and magnetic resonance imaging (MRI). Velocity patterns are compared between computer simulations and measurements. The workflow includes several steps: MRI measurement to obtain both geometry and velocity, an automatic levelset segmentation followed by meshing of the geometrical model and CFD setup to perform the simulations follwed by the actual simulations. The computational results agree well with the measured data.

Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
host publication
International Conference on Medical Image Computing and Computer-Assisted Intervention : MICCAI 2016 - MICCAI 2016
series title
Lecture Notes in Computer Science (LNCS)
editor
Larsen, R ; Nielsen, M and Sporring, J
volume
9
issue
4190
pages
257 - 263
external identifiers
  • pmid:17354898
  • scopus:33750269579
ISBN
978-3-540-44707-8
978-3-540-44708-5
DOI
10.1007/11866565_32
language
English
LU publication?
no
id
4d3ed2ec-8714-4f79-9c67-aae4c8a7612c
date added to LUP
2017-04-07 22:56:30
date last changed
2024-05-26 13:23:27
@inproceedings{4d3ed2ec-8714-4f79-9c67-aae4c8a7612c,
  abstract     = {{<p>Patient specific modelling of the blood flow through the human aorta is performed using computational fluid dynamics (CFD) and magnetic resonance imaging (MRI). Velocity patterns are compared between computer simulations and measurements. The workflow includes several steps: MRI measurement to obtain both geometry and velocity, an automatic levelset segmentation followed by meshing of the geometrical model and CFD setup to perform the simulations follwed by the actual simulations. The computational results agree well with the measured data.</p>}},
  author       = {{Svensson, Johan and Gårdhagen, Roland and Heiberg, Einar and Ebbers, Tino and Loyd, Dan and Länne, Toste and Karlsson, Matts}},
  booktitle    = {{International Conference on Medical Image Computing and Computer-Assisted Intervention : MICCAI 2016}},
  editor       = {{Larsen, R and Nielsen, M and Sporring, J}},
  isbn         = {{978-3-540-44707-8}},
  language     = {{eng}},
  number       = {{4190}},
  pages        = {{257--263}},
  series       = {{Lecture Notes in Computer Science (LNCS)}},
  title        = {{Feasibility of patient specific aortic blood flow CFD simulation.}},
  url          = {{http://dx.doi.org/10.1007/11866565_32}},
  doi          = {{10.1007/11866565_32}},
  volume       = {{9}},
  year         = {{2006}},
}