An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters: 20th Conference on Medical Image Understanding and Analysis (MIUA 2016)

Mateusz Florkow, Jorge Mariscal Harana, Arna van Engelen, Isma Rafiq, Hubrecht de Bliek, Torben Schneider, Jordi Alastruey-Arimon, Rene Michael Botnar

Research output: Contribution to journalConference paperpeer-review

2 Citations (Scopus)
216 Downloads (Pure)

Abstract

Non-invasive assessment of haemodynamic data, such as pressure and flow profiles, is helpful in detecting cardiac disease at an early stage. However, current methods lack spatial accuracy and do not take local variations into account. This paper presents a software tool that extracts the arterial geometry and blood inflow profiles from MR images, which are subsequently used to run a 1D haemodynamic simulation model, and displays its output. The workflow is highly automated but allows user-interaction to correct inaccuracies. The tool was evaluated for inter-observer agreement on one healthy volunteer, and results are shown for one patient with an aortic coarctation. The resulting haemodynamic parameters show high agreement between different users and reveal local changes within a coarctation patient.
Original languageEnglish
Pages (from-to)2-8
Number of pages7
JournalProcedia Computer Science
Volume90
Early online date25 Jul 2016
DOIs
Publication statusPublished - 2016

Keywords

  • Cardiovascular disease
  • MRI
  • haemodynamics
  • platform software

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