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Presenter: Maryam Alizadeh
Supervisor:

Date: Fri, March 22, 2019
Time: 13:30:00 - 14:30:00
Place: EOW 430

ABSTRACT

ABSTRACT:
According to World Health Organization (WHO), heart disease is the number one cause of death in the world, which is primarily caused by the malfunction in one or more of the four heart valves. In the United States alone, more than 5 million people are diagnosed with valvular heart disease each year. One of the efficient therapeutic options is to replace the dysfunctional valve with a prosthetic heart valve, which has properties similar to the real heart valve. Several quality parameters, such as opening area of the valve and opening and closing intervals, are defined to evaluate the performance of a prosthetics heart valve. Visual assessment of these parameters (either in vivo or in vitro environments) is a common method of the valve performance evaluations. This is often done manually, hence is prone to human error and personal judgment of the operator. Therefore, in this study we aim to develop the fully automatic visual analysis approaches for heart valves quality assessment. Several algorithms are developed to measure and evaluate critical quality parameters by using the computer vision and image processing techniques. These algorithms and their results in comparison to ground truth evaluation approaches will be discussed in this seminar.