[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 …
Automatic initialization and quality control of large-scale cardiac MRI segmentations
Continuous advances in imaging technologies enable ever more comprehensive
phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs …
phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs …
Automatic image‐driven segmentation of the ventricles in cardiac cine MRI
CA Cocosco, WJ Niessen, T Netsch… - Journal of Magnetic …, 2008 - Wiley Online Library
Purpose To propose and to evaluate a novel method for the automatic segmentation of the
heart's two ventricles from dynamic (“cine”) short‐axis “steady state free precession”(SSFP) …
heart's two ventricles from dynamic (“cine”) short‐axis “steady state free precession”(SSFP) …
A review of segmentation methods in short axis cardiac MR images
C Petitjean, JN Dacher - Medical image analysis, 2011 - Elsevier
For the last 15 years, Magnetic Resonance Imaging (MRI) has become a reference
examination for cardiac morphology, function and perfusion in humans. Yet, due to the …
examination for cardiac morphology, function and perfusion in humans. Yet, due to the …
Automatic cardiac ventricle segmentation in MR images: a validation study
D Grosgeorge, C Petitjean, J Caudron, J Fares… - International journal of …, 2011 - Springer
Purpose Segmenting the cardiac ventricles in magnetic resonance (MR) images is required
for cardiac function assessment. Numerous segmentation methods have been developed …
for cardiac function assessment. Numerous segmentation methods have been developed …
[HTML][HTML] CMR parametric mapping as a tool for myocardial tissue characterization
VM Ferreira, SK Piechnik - Korean circulation journal, 2020 - ncbi.nlm.nih.gov
Cardiovascular magnetic resonance (CMR) is the current gold standard for imaging cardiac
anatomy, function, and advanced myocardial tissue characterization. After cine, late …
anatomy, function, and advanced myocardial tissue characterization. After cine, late …
Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function
Recent advances in magnetic resonance (MR) imaging technology have unveiled a wealth
of information regarding cardiac histoanatomical complexity. However, methods to faithfully …
of information regarding cardiac histoanatomical complexity. However, methods to faithfully …
Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression
LK Tan, RA McLaughlin, E Lim… - Journal of Magnetic …, 2018 - Wiley Online Library
Background Left ventricle (LV) structure and functions are the primary assessment
performed in most clinical cardiac MRI protocols. Fully automated LV segmentation might …
performed in most clinical cardiac MRI protocols. Fully automated LV segmentation might …
Quantitative analysis of cardiovascular MR images
RJ van der Geest, A de Roos, EE van der Wall… - … International Journal of …, 1997 - Springer
The diagnosis of cardiovascular disease requires the precise assessment of both
morphology and function. Nearly all aspects of cardiovascular function and flow can be …
morphology and function. Nearly all aspects of cardiovascular function and flow can be …
Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach
MR Avendi, A Kheradvar… - Magnetic resonance in …, 2017 - Wiley Online Library
Purpose This study aims to accurately segment the right ventricle (RV) from cardiac MRI
using a fully automatic learning‐based method. Methods The proposed method uses deep …
using a fully automatic learning‐based method. Methods The proposed method uses deep …