Add to ORKGIn this paper, we introduce a technique for automatically computing stroke volume from 2-D color flow echocardiographic cineloops of the left ventricular outflow tract (LVOT). This technique eliminates the need for manual specification of the direction of flow and automatically detects the LVOT conduit margins. Feedback as to the accuracy of the LVOT border assignments is provided using a synthetically-generated color M-mode image across the LVOT
This thesis addresses the problem of providing a quantitative analysis of left ventricular function ...
Echocardiographic automated border detection (ABD) is a new on-line technique that can determine the...
Efficient and robust identification of the left ventricular borders remains a challenging problem in...
In this paper, we introduce a technique for automatically computing stroke volume from 2-D color flo...
This paper presents a new fully automated algorithm that extracts LV epicardial and endocardial bord...
Stroke volumes in the distal left ventricular outflow tract can be calculated from two-dimensional (...
We propose a semi-automatic endocardial border detection method for LV volume estimation in 3D time ...
Left ventricular volume is an important clinical indicator for the diagnosis and the monitoring of t...
This paper presents a new way for computing the volume of the heart's right ventricle. The technique...
0, TomTec) provides semi-automated delineation of the endocardial border (upper right). By superposi...
This paper presents a new way for computing the volume of the heart's right ventricle. The technique...
Echocardiographic automated border detection (ABD) is a new on-line technique that can determine the...
Quantitative studies of left ventricular function using 2-dimensional echocardiography have been lim...
The objective of this research is to extend the clinical utility of three-dimensional echocardiograp...
In the detection of the boundary of the left ventricle from echocardiographic images, the crucial st...
This thesis addresses the problem of providing a quantitative analysis of left ventricular function ...
Echocardiographic automated border detection (ABD) is a new on-line technique that can determine the...
Efficient and robust identification of the left ventricular borders remains a challenging problem in...
In this paper, we introduce a technique for automatically computing stroke volume from 2-D color flo...
This paper presents a new fully automated algorithm that extracts LV epicardial and endocardial bord...
Stroke volumes in the distal left ventricular outflow tract can be calculated from two-dimensional (...
We propose a semi-automatic endocardial border detection method for LV volume estimation in 3D time ...
Left ventricular volume is an important clinical indicator for the diagnosis and the monitoring of t...
This paper presents a new way for computing the volume of the heart's right ventricle. The technique...
0, TomTec) provides semi-automated delineation of the endocardial border (upper right). By superposi...
This paper presents a new way for computing the volume of the heart's right ventricle. The technique...
Echocardiographic automated border detection (ABD) is a new on-line technique that can determine the...
Quantitative studies of left ventricular function using 2-dimensional echocardiography have been lim...
The objective of this research is to extend the clinical utility of three-dimensional echocardiograp...
In the detection of the boundary of the left ventricle from echocardiographic images, the crucial st...
This thesis addresses the problem of providing a quantitative analysis of left ventricular function ...
Echocardiographic automated border detection (ABD) is a new on-line technique that can determine the...
Efficient and robust identification of the left ventricular borders remains a challenging problem in...