Right ventricle segmentation from cardiac MRI: a collation study
Abstract Magnetic Resonance Imaging (MRI), a reference examination for cardiac
morphology and function in humans, allows to image the cardiac right ventricle (RV) with …
morphology and function in humans, allows to image the cardiac right ventricle (RV) with …
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 …
Fully automatic segmentation of the mitral leaflets in 3D transesophageal echocardiographic images using multi-atlas joint label fusion and deformable medial …
Comprehensive visual and quantitative analysis of in vivo human mitral valve morphology is
central to the diagnosis and surgical treatment of mitral valve disease. Real-time 3D …
central to the diagnosis and surgical treatment of mitral valve disease. Real-time 3D …
Automatic cardiac MRI segmentation and permutation-invariant pathology classification using deep neural networks and point clouds
Segmentation of cardiac MRI images plays a key role in clinical diagnosis. In the traditional
diagnostic process, clinical experts manually segment left ventricle (LV), right ventricle (RV) …
diagnostic process, clinical experts manually segment left ventricle (LV), right ventricle (RV) …
Automatic segmentation and cardiopathy classification in cardiac MRI images based on deep neural networks
Segmentation of cardiac MRI images plays a key role in clinical diagnosis. In the traditional
diagnostic process, clinical experts manually segment left ventricle (LV), right ventricle (RV) …
diagnostic process, clinical experts manually segment left ventricle (LV), right ventricle (RV) …
[HTML][HTML] Automatic functional analysis of left ventricle in cardiac cine MRI
YL Lu, KA Connelly, AJ Dick, GA Wright… - Quantitative imaging in …, 2013 - ncbi.nlm.nih.gov
Rationale and objectives A fully automated left ventricle segmentation method for the
functional analysis of cine short axis (SAX) magnetic resonance (MR) images was …
functional analysis of cine short axis (SAX) magnetic resonance (MR) images was …
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation
Abstract The Right Ventricle (RV) is currently recognised to be a significant and important
prognostic factor for various pathologies. Its assessment is made possible using Magnetic …
prognostic factor for various pathologies. Its assessment is made possible using Magnetic …
Automatic recognition of surface landmarks of anatomical structures of back and posture
J Michoński, W Glinkowski… - Journal of biomedical …, 2012 - spiedigitallibrary.org
Faulty postures, scoliosis and sagittal plane deformities should be detected as early as
possible to apply preventive and treatment measures against major clinical consequences …
possible to apply preventive and treatment measures against major clinical consequences …
Development of a semi‐automated method for mitral valve modeling with medial axis representation using 3D ultrasound
A M. Pouch, P A. Yushkevich, B M. Jackson… - Medical …, 2012 - Wiley Online Library
Purpose: Precise 3D modeling of the mitral valve has the potential to improve our
understanding of valve morphology, particularly in the setting of mitral regurgitation (MR) …
understanding of valve morphology, particularly in the setting of mitral regurgitation (MR) …
[图书][B] Heart Mechanics: Magnetic Resonance Imaging—Advanced Techniques, Clinical Applications, and Future Trends
ESH Ibrahim - 2017 - taylorfrancis.com
Based on research and clinical trials, this book details the latest research in magnetic
resonance imaging (MRI) tagging technology related to heart mechanics. It covers clinical …
resonance imaging (MRI) tagging technology related to heart mechanics. It covers clinical …