Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features
We propose an automatic four-chamber heart segmentation system for the quantitative
functional analysis of the heart from cardiac computed tomography (CT) volumes. Two topics …
functional analysis of the heart from cardiac computed tomography (CT) volumes. Two topics …
Automatic model-based segmentation of the heart in CT images
Automatic image processing methods are a pre-requisite to efficiently analyze the large
amount of image data produced by computed tomography (CT) scanners during cardiac …
amount of image data produced by computed tomography (CT) scanners during cardiac …
Patient-specific modeling and quantification of the aortic and mitral valves from 4-D cardiac CT and TEE
As decisions in cardiology increasingly rely on noninvasive methods, fast and precise image
processing tools have become a crucial component of the analysis workflow. To the best of …
processing tools have become a crucial component of the analysis workflow. To the best of …
Fast automatic heart chamber segmentation from 3D CT data using marginal space learning and steerable features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac
function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts makes …
function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts makes …
Segmentation of the heart and great vessels in CT images using a model-based adaptation framework
Recently, model-based methods for the automatic segmentation of the heart chambers have
been proposed. An important application of these methods is the characterization of the …
been proposed. An important application of these methods is the characterization of the …
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 …
Optimizing boundary detection via simulated search with applications to multi-modal heart segmentation
Segmentation of medical images can be achieved with the help of model-based algorithms.
Reliable boundary detection is a crucial component to obtain robust and accurate …
Reliable boundary detection is a crucial component to obtain robust and accurate …
Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images
To conduct a patient‐specific computational modeling of the aortic valve, 3‐D aortic valve
anatomic geometries of an individual patient need to be reconstructed from clinical 3‐D …
anatomic geometries of an individual patient need to be reconstructed from clinical 3‐D …
Heart chambers and whole heart segmentation techniques
Computer-aided segmentation of cardiac images obtained by various modalities plays an
important role and is a prerequisite for a wide range of cardiac applications by facilitating the …
important role and is a prerequisite for a wide range of cardiac applications by facilitating the …
Prediction based collaborative trackers (PCT): a robust and accurate approach toward 3D medical object tracking
Robust and fast 3D tracking of deformable objects, such as heart, is a challenging task
because of the relatively low image contrast and speed requirement. Many existing 2D …
because of the relatively low image contrast and speed requirement. Many existing 2D …