[HTML][HTML] 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update

MM Bissell, F Raimondi, LA Ali, BD Allen… - Journal of …, 2023 - Elsevier
Hemodynamic assessment is an integral part of the diagnosis and management of
cardiovascular disease. Four-dimensional cardiovascular magnetic resonance flow imaging …

Artificial intelligence and pediatrics: synthetic knowledge synthesis

J Završnik, P Kokol, B Žlahtič, H Blažun Vošner - Electronics, 2024 - mdpi.com
The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984.
Since then, research on AI in pediatrics has become much more popular, and the number of …

Machine learning-based segmentation of the thoracic aorta with congenital valve disease using MRI

E Sundström, M Laudato - Bioengineering, 2023 - mdpi.com
Subjects with bicuspid aortic valves (BAV) are at risk of developing valve dysfunction and
need regular clinical imaging surveillance. Management of BAV involves manual and time …

[HTML][HTML] Assessment of abnormal transvalvular flow and wall shear stress direction for pediatric/young adults with bicuspid aortic valve: A cross-sectional four …

T Fujiwara, LDJ Malone, KC Chatfield… - Journal of …, 2024 - Elsevier
Background Aortic dilation is seen in pediatric/young adult patients with bicuspid aortic valve
(BAV), and hemodynamic markers to predict aortic dilation are necessary for monitoring …

Reconstruction and validation of arterial geometries for computational fluid dynamics using multiple temporal frames of 4D flow-MRI magnitude images

SMD Black, C Maclean, PH Barrientos, K Ritos… - Cardiovascular …, 2023 - Springer
Purpose Segmentation and reconstruction of arterial blood vessels is a fundamental step in
the translation of computational fluid dynamics (CFD) to the clinical practice. Four …

Automatic 4D flow MRI segmentation using the standardized difference of means velocity

SM Rothenberger, NM Patel, J Zhang… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
We present a method to automatically segment 4D flow magnetic resonance imaging (MRI)
by identifying net flow effects using the standardized difference of means (SDM) velocity …

4D segmentation of the thoracic aorta from 4D flow MRI using deep learning

DM Marin-Castrillon, A Lalande, S Leclerc… - Magnetic Resonance …, 2023 - Elsevier
Background 4D flow MRI allows the analysis of hemodynamic changes in the aorta caused
by pathologies such as thoracic aortic aneurysms (TAA). For personalized management of …

Segmentation of the aorta in systolic phase from 4D flow MRI: Multi-atlas vs. deep learning

DM Marin-Castrillon, L Geronzi, A Boucher… - … Resonance Materials in …, 2023 - Springer
Objective In the management of the aortic aneurysm, 4D flow magnetic resonance Imaging
provides valuable information for the computation of new biomarkers using computational …

The role of 4-dimensional flow in the assessment of bicuspid aortic valve and its valvulo-aortopathies

CE Richards, AE Parker, A Alfuhied… - The British Journal of …, 2022 - academic.oup.com
Bicuspid aortic valve is the most common congenital cardiac malformation and the leading
cause of aortopathy and aortic stenosis in younger patients. Aortic wall remodelling …

[HTML][HTML] Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic …

C Manini, M Hüllebrand, L Walczak… - Journal of …, 2024 - Elsevier
Background Four-dimensional cardiovascular magnetic resonance flow imaging (4D flow
CMR) plays an important role in assessing cardiovascular diseases. However, the manual …