Skip to main content

3 Result(s)

within Pavlo Yevtushenko Remove this filter

and

  1. No Access

    Chapter and Conference Paper

    Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta

    Image-based patient-specific modeling of blood flow is a current state of the art approach in cardiovascular research proposed to support diagnosis and treatment decision. However, the approach is time-consuming,...

    Bente Thamsen, Pavlo Yevtushenko… in Medical Image Computing and Computer Assis… (2020)

  2. No Access

    Article

    Uncertainty Quantification for Non-invasive Assessment of Pressure Drop Across a Coarctation of the Aorta Using CFD

    Numerical assessment of the pressure drop across an aortic coarctation using CFD is a promising approach to replace invasive catheter-based measurements. The aim of this study was to investigate and quantify t...

    Jan Brüning, Florian Hellmeier… in Cardiovascular Engineering and Technology (2018)

  3. No Access

    Chapter and Conference Paper

    Hemodynamic in Aortic Coarctation Using MRI-Based Inflow Condition

    Image-based CFD can support diagnosis, treatment decision and planning. The ability of CFD to calculate pressure drop across the aortic coarctation is the focus of the 2013 STACOM Challenge. The focus of our s...

    Jens Schaller, Leonid Goubergrits… in Statistical Atlases and Computational Mode… (2014)