Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics
R Chabiniok, VY Wang… - Interface …, 2016 - royalsocietypublishing.org
With heart and cardiovascular diseases continually challenging healthcare systems
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
Computational cardiac atlases: from patient to population and back
Integrative models of cardiac physiology are important for understanding disease and
planning intervention. Multimodal cardiovascular imaging plays an important role in defining …
planning intervention. Multimodal cardiovascular imaging plays an important role in defining …
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
Atlases encode valuable anatomical and functional information from a population. In this
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …
A survey of shaped-based registration and segmentation techniques for cardiac images
V Tavakoli, AA Amini - Computer Vision and Image Understanding, 2013 - Elsevier
Heart disease is the leading cause of death in the modern world. Cardiac imaging is
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …
routinely applied for assessment and diagnosis of cardiac diseases. Computerized image …
Bilinear spatiotemporal basis models
A variety of dynamic objects, such as faces, bodies, and cloth, are represented in computer
graphics as a collection of moving spatial landmarks. Spatiotemporal data is inherent in a …
graphics as a collection of moving spatial landmarks. Spatiotemporal data is inherent in a …
A high-resolution atlas and statistical model of the human heart from multislice CT
C Hoogendoorn, N Duchateau… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Atlases and statistical models play important roles in the personalization and simulation of
cardiac physiology. For the study of the heart, however, the construction of comprehensive …
cardiac physiology. For the study of the heart, however, the construction of comprehensive …
Registration of 4D cardiac CT sequences under trajectory constraints with multichannel diffeomorphic demons
We propose a framework for the nonlinear spatiotemporal registration of 4D time-series of
images based on the Diffeomorphic Demons (DD) algorithm. In this framework, the 4D …
images based on the Diffeomorphic Demons (DD) algorithm. In this framework, the 4D …
Image-based predictive modeling of heart mechanics
Personalized biophysical modeling of the heart is a useful approach for noninvasively
analyzing and predicting in vivo cardiac mechanics. Three main developments support this …
analyzing and predicting in vivo cardiac mechanics. Three main developments support this …
[HTML][HTML] Machine learning approaches for myocardial motion and deformation analysis
Information about myocardial motion and deformation is key to differentiate normal and
abnormal conditions. With the advent of approaches relying on data rather than pre …
abnormal conditions. With the advent of approaches relying on data rather than pre …
Statistical coronary motion models for 2D+ t/3D registration of X-ray coronary angiography and CTA
N Baka, CT Metz, C Schultz, L Neefjes… - Medical image …, 2013 - Elsevier
Accurate alignment of intra-operative X-ray coronary angiography (XA) and pre-operative
cardiac CT angiography (CTA) may improve procedural success rates of minimally invasive …
cardiac CT angiography (CTA) may improve procedural success rates of minimally invasive …