Advances in machine learning applications for cardiovascular 4D flow MRI

ES Peper, P van Ooij, B Jung, A Huber… - … in cardiovascular …, 2022 - frontiersin.org
cardiomyopathy (6, 10), as well as in congenital heart disease, … and data assimilation for fast
and accurate 4D flow MRI data … segmentation and (5) the statistical evaluation of blood flow. …

Data-driven cardiovascular flow modelling: examples and opportunities

A Arzani, STM Dawson - Journal of the Royal Society …, 2021 - royalsocietypublishing.org
data science, where the wealth of data and advances in data … vortex flows in the left ventricle
of the heart [68]. The goal is to … of Kalman filter data assimilation models provides the means …

Patient-specific inverse modeling of in vivo cardiovascular mechanics with medical image-derived kinematics as input data: concepts, methods, and applications

JH Bracamonte, SK Saunders, JS Wilson, UT Truong… - Applied Sciences, 2022 - mdpi.com
… The inverse method, or data assimilation method, is an … healthy and diseased heart valves,
cardiac and arterial walls, … medicine, we focus herein mostly on developments made in …

[引用][C] Biomechanical quantification of the heart using cardiovascular magnetic resonance images

[图书][B] Artificial intelligence for computational modeling of the heart

T Mansi, T Passerini, D Comaniciu - 2019 - books.google.com
… 1.4 Example of MRI with delayed enhancement of … Over the past decade, advanced
cardiovascular imaging such as cardiac … patient-specific simulations is data assimilation. In …

[HTML][HTML] Novel methods to advance diagnostic and treatment value of medical imaging for cardiovascular disease

Z Keshavarz-Motamed, JC Del Alamo… - … in Bioengineering and …, 2022 - frontiersin.org
… Tetralogy of Fallot is a congenital heart defect which involves … De Marinis and Obrist
developed a data assimilation … This study demonstrated the clinical feasibility of 4D flow MRI in …

[PDF][PDF] 4DFlowMRI Data Assimilation: Integrated approach reveals a potential biomarker in experimental ARDS condition.

R Kumar, AG Simon, I Rodrıguez, MJS Guisado… - researchgate.net
… failure that can manifest as advanced heart failure. Hemodynamic … into 25 cardiac phases,
enabling the assessment of … We used PC-MRI data to extract the subject specific pulsatile flow …

An ensemble Kalman filter approach to parameter estimation for patient-specific cardiovascular flow modeling

D Canuto, JL Pantoja, J Han, EP Dutson… - … and Computational Fluid …, 2020 - Springer
… More advanced efforts have coupled three-dimensional models for … developed for data
assimilation into dynamical models for … Data assimilation ends with systole because the heart and …

Biomechanical Quantification of the Heart Using Cardiovascular Magnetic Resonance Images

HAM Lobos - 2021 - search.proquest.com
… , cardiac tagging MRI combined with advanced processing techniques allows the estimation
… via regularization or data assimilation using biomechanical models and MRI observations to …

Variational data assimilation for transient blood flow simulations: Cerebral aneurysms as an illustrative example

SW Funke, M Nordaas, Ø Evju… - … journal for numerical …, 2019 - Wiley Online Library
… are then phase averaged over several hundred cardiac cycles … , more advanced data
assimilation strategies use reduced … timesteps per heart cycle, and that the PC-MRI flow …