TY - JOUR
T1 - Three-dimensional quantification of circulation using finite-element methods in four-dimensional flow MR data of the thoracic aorta
AU - Sotelo, Julio
AU - Bissell, Malenka M.
AU - Jiang, Yaxin
AU - Mella, Hernan
AU - Mura, Joaquín
AU - Uribe, Sergio
N1 - Funding Information:
This publication was funded by ANID – Millennium Science Initiative Program – NCN17_129. Also, has been supported by CONICYT-FONDECYT Postdoctorado #3170737, the ANID Ph. D. Scholarship #21170592, and ANID FONDECYT de Iniciación en Investigación #11200481 and ANID FONDECYT #1181057.
Funding Information:
This publication was funded by ANID – Millennium Science Initiative Program – NCN17_129. Also, has been supported by CONICYT‐FONDECYT Postdoctorado #3170737, the ANID Ph. D. Scholarship #21170592, and ANID FONDECYT de Iniciación en Investigación #11200481 and ANID FONDECYT #1181057.
Publisher Copyright:
© 2021 International Society for Magnetic Resonance in Medicine
PY - 2022/2
Y1 - 2022/2
N2 - Purpose: Three-dimensional (3D) quantification of circulation using a Finite Elements methodology. Methods: We validate our 3D method using an in-silico arch model, for different mesh resolutions, image resolution and noise levels, and we compared this with a currently used 2D method. Finally, we evaluated the application of our methodology in 4D Flow MRI data of ascending aorta of six healthy volunteers, and six bicuspid aortic valve (BAV) patients, three with right and three with left handed flow, at peak systole. The in-vivo data was compared using a Mann-Whitney U-test between volunteers and patients (right and left handed flow). Results: The robustness of our method throughout different image resolutions and noise levels showed subestimation of circulation less than 45 cm2/s in comparison with the 55cm2/s generated by the current 2D method. The circulation (mean ± SD) of the healthy volunteer group was 13.83 ± 28.78 cm2/s, in BAV patients with right-handed flow 724.37 ± 317.53 cm2/s, and BAV patients with left-handed flow −480.99 ± 387.29 cm2/s. There were significant differences between healthy volunteers and BAV patients groups (P-value <.01), and also between BAV patients with a right-handed or left-handed helical flow and healthy volunteers (P-value <.01). Conclusion: We propose a novel 3D formulation to estimate the circulation in the thoracic aorta, which can be used to assess the differences between normal and diseased hemodynamic from 4D-Flow MRI data. This method also can correctly differentiate between the visually seen right- and left-handed helical flow, which suggests that this approach may have high clinical sensitivity, but requires confirmation in longitudinal studies with a large cohort.
AB - Purpose: Three-dimensional (3D) quantification of circulation using a Finite Elements methodology. Methods: We validate our 3D method using an in-silico arch model, for different mesh resolutions, image resolution and noise levels, and we compared this with a currently used 2D method. Finally, we evaluated the application of our methodology in 4D Flow MRI data of ascending aorta of six healthy volunteers, and six bicuspid aortic valve (BAV) patients, three with right and three with left handed flow, at peak systole. The in-vivo data was compared using a Mann-Whitney U-test between volunteers and patients (right and left handed flow). Results: The robustness of our method throughout different image resolutions and noise levels showed subestimation of circulation less than 45 cm2/s in comparison with the 55cm2/s generated by the current 2D method. The circulation (mean ± SD) of the healthy volunteer group was 13.83 ± 28.78 cm2/s, in BAV patients with right-handed flow 724.37 ± 317.53 cm2/s, and BAV patients with left-handed flow −480.99 ± 387.29 cm2/s. There were significant differences between healthy volunteers and BAV patients groups (P-value <.01), and also between BAV patients with a right-handed or left-handed helical flow and healthy volunteers (P-value <.01). Conclusion: We propose a novel 3D formulation to estimate the circulation in the thoracic aorta, which can be used to assess the differences between normal and diseased hemodynamic from 4D-Flow MRI data. This method also can correctly differentiate between the visually seen right- and left-handed helical flow, which suggests that this approach may have high clinical sensitivity, but requires confirmation in longitudinal studies with a large cohort.
KW - 4D flow MRI
KW - bicuspid aortic valve
KW - circulation
KW - finite elements
KW - hemodynamic parameters
UR - http://www.scopus.com/inward/record.url?scp=85114505162&partnerID=8YFLogxK
U2 - 10.1002/mrm.29004
DO - 10.1002/mrm.29004
M3 - Article
C2 - 34490922
AN - SCOPUS:85114505162
SN - 0740-3194
VL - 87
SP - 1036
EP - 1045
JO - Magnetic Resonance in Medicine
JF - Magnetic Resonance in Medicine
IS - 2
ER -