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 …
An electromechanical model of the heart for image analysis and simulation
M Sermesant, H Delingette… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
This paper presents a new three-dimensional electromechanical model of the two cardiac
ventricles designed both for the simulation of their electrical and mechanical activity, and for …
ventricles designed both for the simulation of their electrical and mechanical activity, and for …
4D deformable models with temporal constraints: application to 4D cardiac image segmentation
J Montagnat, H Delingette - Medical Image Analysis, 2005 - Elsevier
Segmentation of time series of 3D cardiac images is clinically used for the assessment of the
mechanical function of the left ventricle. To take into account the 4D (3D+ T) nature of those …
mechanical function of the left ventricle. To take into account the 4D (3D+ T) nature of those …
Deformable biomechanical models: Application to 4D cardiac image analysis
This article describes a methodology for creating a generic volumetric biomechanical model
from different image modalities and segmenting time series of medical images using this …
from different image modalities and segmenting time series of medical images using this …
A dynamic elastic model for segmentation and tracking of the heart in MR image sequences
J Schaerer, C Casta, J Pousin, P Clarysse - Medical Image Analysis, 2010 - Elsevier
Strong prior models are a prerequisite for reliable spatio-temporal cardiac image analysis.
While several cardiac models have been presented in the past, many of them are either too …
While several cardiac models have been presented in the past, many of them are either too …
A Review of Automatic Cardiac Segmentation using Deep Learning and Deformable Models
B Rahmatikaregar, S Shirani… - … in Healthcare and …, 2022 - taylorfrancis.com
In this chapter, semi-or fully-automatic approaches for the segmentation of cardiovascular
images (especially approaches focused on the segmentation of the LV) that use deep …
images (especially approaches focused on the segmentation of the LV) that use deep …
A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion
In this paper, a new approach is presented for the assessment of a 3-D anatomical and
functional model of the heart including structural information from magnetic resonance …
functional model of the heart including structural information from magnetic resonance …
[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 …
Medially constrained deformable modeling for segmentation of branching medial structures: application to aortic valve segmentation and morphometry
Deformable modeling with medial axis representation is a useful means of segmenting and
parametrically describing the shape of anatomical structures in medical images. Continuous …
parametrically describing the shape of anatomical structures in medical images. Continuous …
Grid-enabling medical image analysis
Grids have emerged as a promising technology to handle the data and compute intensive
requirements of many application areas. Digital medical image processing is a promising …
requirements of many application areas. Digital medical image processing is a promising …