The objective of the project is to develop practical algorithms to segment the human heart’s left and right ventricles from isotropic Magnetic Resonance Imaging (MRI). An advanced algorithm that allows for efficient analysis of the ventricles in 3D or 4D would help diagnose and treat numerous cardiac diseases and illnesses. The left ventricle is a convex-like structure whereas the right ventricle has a relatively more abstract shape. The constant blood flow in and out of the ventricles causes them to look different at any given time. Therefore, our data set is in 4D where the fourth dimension is time. Our algorithms take a 3D MRI volume and first reduces it to a 1D skeletal representation with figure-ground separation followed by morphologi...
This paper describes a robust approach for multimodality segmentation of the cardiac left ventricle....
The automatic visualization and quantitative analysis of cardiac SPECT data requires the ability to ...
Abstract Background The most time consuming and limit...
Doctor of Philosophy in Engineering (Electronic). University of KwaZulu-Natal, Durban 2014.Progress ...
Computer-aided analysis of four-dimensional tomography data has become an important tool in modern c...
A novel approach for the automatic segmentation has been developed to extract the epi-cardium and en...
This study investigates automatic propagation of the right ventricle (RV) endocardial and epicardial...
Modern medical imaging modalities provide large amounts of information in both the spatial and tempo...
Cardiac magnetic resonance imaging has been proven to be a great aid tool in clinical diagnosis. Com...
PurposeSegmentation of cardiac medical images, an important step in measuring cardiac function, is u...
The world health organization has identified cardiovascular disease as the leading cause of non-acci...
In this research, a graphical computational tool for automatic segmentation of the left and right ve...
Heart disease is highly prevalent in developed countries, causing 1 in 4 deaths. In this work we pro...
Nowadays, heart diseases are the leading cause of death. Left ventricle segmentation of a human hear...
One important topic in medical image analysis is segmenting wall structures from different cardiac m...
This paper describes a robust approach for multimodality segmentation of the cardiac left ventricle....
The automatic visualization and quantitative analysis of cardiac SPECT data requires the ability to ...
Abstract Background The most time consuming and limit...
Doctor of Philosophy in Engineering (Electronic). University of KwaZulu-Natal, Durban 2014.Progress ...
Computer-aided analysis of four-dimensional tomography data has become an important tool in modern c...
A novel approach for the automatic segmentation has been developed to extract the epi-cardium and en...
This study investigates automatic propagation of the right ventricle (RV) endocardial and epicardial...
Modern medical imaging modalities provide large amounts of information in both the spatial and tempo...
Cardiac magnetic resonance imaging has been proven to be a great aid tool in clinical diagnosis. Com...
PurposeSegmentation of cardiac medical images, an important step in measuring cardiac function, is u...
The world health organization has identified cardiovascular disease as the leading cause of non-acci...
In this research, a graphical computational tool for automatic segmentation of the left and right ve...
Heart disease is highly prevalent in developed countries, causing 1 in 4 deaths. In this work we pro...
Nowadays, heart diseases are the leading cause of death. Left ventricle segmentation of a human hear...
One important topic in medical image analysis is segmenting wall structures from different cardiac m...
This paper describes a robust approach for multimodality segmentation of the cardiac left ventricle....
The automatic visualization and quantitative analysis of cardiac SPECT data requires the ability to ...
Abstract Background The most time consuming and limit...