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Left ventricular segmentation using the 17-segment American Heart Association model was obtained.
Left ventricular segmentation was performed automatically.
Image analysis: a subset of the data is being provided for a left ventricular segmentation challenge at the Medical Image Computing and Computer Assisted Intervention (MICCAI) 2011 conference.
Some use cases are described below: Image analysis: a subset of the data is being provided for a left ventricular segmentation challenge at the Medical Image Computing and Computer Assisted Intervention (MICCAI) 2011 conference.
It is well known that there are discrepancies between commercial software packages with respect to the algorithms for left ventricular segmentation and estimation of the myocardial count distribution [ 30, 31].
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The software automatically divided into three segments in each the left ventricular free wall and interventricular septum based on standard segmentation model used in human patients [ 18].
The algorithm has four main steps: image preprocessing, initial left ventricular chamber detection, left ventricular chamber center detection and left ventricular endocardial boundary detection.
FFRCT is calculated by computational fluid dynamic (CFD) modeling after semiautomated segmentation of coronary tree and left ventricular mass.
There was no correlation with left ventricular ejection fraction and left ventricular dysfunction.
SPRC increased the Left ventricular mass index, the left ventricular systolic pressure and the maximum rate of pressure and decreased left ventricular end-diastolic pressure.
ECG showed ST segment depressions and left ventricular hypertrophy.
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