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

Research output: Contribution to journalConference paper

Standard

An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters : 20th Conference on Medical Image Understanding and Analysis (MIUA 2016). / Florkow, Mateusz; Mariscal Harana, Jorge; van Engelen, Arna; Rafiq, Isma; de Bliek, Hubrecht; Schneider, Torben; Alastruey-Arimon, Jordi; Botnar, Rene Michael.

In: Procedia Computer Science, Vol. 90, 2016, p. 2-8.

Research output: Contribution to journalConference paper

Harvard

Florkow, M, Mariscal Harana, J, van Engelen, A, Rafiq, I, de Bliek, H, Schneider, T, Alastruey-Arimon, J & Botnar, RM 2016, 'An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters: 20th Conference on Medical Image Understanding and Analysis (MIUA 2016)', Procedia Computer Science, vol. 90, pp. 2-8. https://doi.org/10.1016/j.procs.2016.07.002

APA

Florkow, M., Mariscal Harana, J., van Engelen, A., Rafiq, I., de Bliek, H., Schneider, T., Alastruey-Arimon, J., & Botnar, R. M. (2016). An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters: 20th Conference on Medical Image Understanding and Analysis (MIUA 2016). Procedia Computer Science, 90, 2-8. https://doi.org/10.1016/j.procs.2016.07.002

Vancouver

Florkow M, Mariscal Harana J, van Engelen A, Rafiq I, de Bliek H, Schneider T et al. An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters: 20th Conference on Medical Image Understanding and Analysis (MIUA 2016). Procedia Computer Science. 2016;90:2-8. https://doi.org/10.1016/j.procs.2016.07.002

Author

Florkow, Mateusz ; Mariscal Harana, Jorge ; van Engelen, Arna ; Rafiq, Isma ; de Bliek, Hubrecht ; Schneider, Torben ; Alastruey-Arimon, Jordi ; Botnar, Rene Michael. / An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters : 20th Conference on Medical Image Understanding and Analysis (MIUA 2016). In: Procedia Computer Science. 2016 ; Vol. 90. pp. 2-8.

Bibtex Download

@article{1b5b4963be224d219bf704bd36a1bc2a,
title = "An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters: 20th Conference on Medical Image Understanding and Analysis (MIUA 2016)",
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.",
keywords = "Cardiovascular disease, MRI, haemodynamics, platform software",
author = "Mateusz Florkow and {Mariscal Harana}, Jorge and {van Engelen}, Arna and Isma Rafiq and {de Bliek}, Hubrecht and Torben Schneider and Jordi Alastruey-Arimon and Botnar, {Rene Michael}",
year = "2016",
doi = "10.1016/j.procs.2016.07.002",
language = "English",
volume = "90",
pages = "2--8",
journal = "Procedia Computer Science",
issn = "1877-0509",
publisher = "Elsevier BV",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters

T2 - 20th Conference on Medical Image Understanding and Analysis (MIUA 2016)

AU - Florkow, Mateusz

AU - Mariscal Harana, Jorge

AU - van Engelen, Arna

AU - Rafiq, Isma

AU - de Bliek, Hubrecht

AU - Schneider, Torben

AU - Alastruey-Arimon, Jordi

AU - Botnar, Rene Michael

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Cardiovascular disease

KW - MRI

KW - haemodynamics

KW - platform software

U2 - 10.1016/j.procs.2016.07.002

DO - 10.1016/j.procs.2016.07.002

M3 - Conference paper

VL - 90

SP - 2

EP - 8

JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

ER -

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