چکیده (انگلیسی):

Accurate detection of the End-Diastolic (ED) and End-
Systolic (ES) frames of a cardiac cycle are significant factors that may
affect the accuracy of abnormality assessment of a ventricle. This
process is a routine step of the ventricle assessment procedure as most
of the time in clinical reports many parameters are measured in these
two frames to help in diagnosing and dissection making. According to
the previous works the process of detecting the ED and ES remains a
challenge in that the ED and ES frames for the cavity are usually
determined manually by review of individual image phases of the cavity
and/or tracking the tricuspid valve. The proposed algorithm aims to
automatically determine the ED and ES frames from the four
Dimensional Echocardiographic images (4DE) of the Right Ventricle
(RV) from one cardiac cycle. By computing the area of three slices
along one cardiac cycle and selecting the maximum area as the ED
frame and the minimum area as the ES frame. This method gives an
accurate determination for the ED and ES frames, hence avoid the need
for time consuming, expert contributions during the process of
computing the cavity stroke volume.