[HTML][HTML] A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …
An overview on image registration techniques for cardiac diagnosis and treatment
Image registration has been used for a wide variety of tasks within cardiovascular imaging.
This study aims to provide an overview of the existing image registration methods to assist …
This study aims to provide an overview of the existing image registration methods to assist …
A deep learning network for right ventricle segmentation in short-axis MRI
The segmentation of the right ventricle (RV) myocardium on MRI is a prerequisite step for the
evaluation of RV structure and function, which is of great importance in the diagnose of most …
evaluation of RV structure and function, which is of great importance in the diagnose of most …
A GPU-accelerated deformable image registration algorithm with applications to right ventricular segmentation
Delineation of the cardiac right ventricle is essential in generating clinical measurements
such as ejection fraction and stroke volume. Given manual segmentation on the first frame …
such as ejection fraction and stroke volume. Given manual segmentation on the first frame …
[HTML][HTML] Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles
F Yepes-Calderon, JG McComb - Plos one, 2023 - journals.plos.org
Manual segmentation, which is tedious, time-consuming, and operator-dependent, is
currently used as the gold standard to validate automatic and semiautomatic methods that …
currently used as the gold standard to validate automatic and semiautomatic methods that …
A review of approaches investigated for right ventricular segmentation using short‐axis cardiac MRI
The right ventricular assessment is crucial to heart disease diagnosis. Unfortunately, its
segmentation is quite challenging due to its intricate shape, ill‐defined thin edges, large …
segmentation is quite challenging due to its intricate shape, ill‐defined thin edges, large …
[HTML][HTML] Automated segmentation of 3D cine cardiovascular magnetic resonance imaging
S Tayebi Arasteh, J Romanowicz, DF Pace… - Frontiers in …, 2023 - frontiersin.org
Introduction As the life expectancy of children with congenital heart disease (CHD) is rapidly
increasing and the adult population with CHD is growing, there is an unmet need to improve …
increasing and the adult population with CHD is growing, there is an unmet need to improve …
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
This study proposes an end-to-end unsupervised diffeomorphic deformable registration
framework based on moving mesh parameterization. Using this parameterization, a …
framework based on moving mesh parameterization. Using this parameterization, a …
3D printing of cardiac structures from medical images: an overview of methods and interactive tools
F Uccheddu, M Carfagni, L Governi, R Furferi… - International Journal on …, 2018 - Springer
The percutaneous interventions in the treatment of structural heart diseases represent
nowadays a viable option for patients at high risk for surgery. However, unlike during the …
nowadays a viable option for patients at high risk for surgery. However, unlike during the …
A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition
Right ventricle segmentation is a challenging task in cardiac image analysis due to its
complex anatomy and huge shape variations. In this paper, we proposed a semi-automatic …
complex anatomy and huge shape variations. In this paper, we proposed a semi-automatic …