Right Ventricle Volumetric Measurement Techniques for Cardiac MR Images

Cardiac disease diagnosis is very important domain in biomedical and technological innovations. The right ventricle (RV) volumetric analysis is useful for finding anatomical and functional defects and blood loading capacity of heart at right side. The volumetric measurements of RV such as blood volume at systole (ESV) and diastole phases (EDV) are significant for further decisions in cardiac disease diagnosis. For experimentation and to find better one, we have been performed three techniques A. motion-based clustering B. intensity-based clustering C. deep learning-based architecture. These approaches are used for measuring volumetric parameters such as end systole (ESV), end diastole (EDV) and ejection fraction (EF). Then, results are compared with ground truths provided by clinicians. The minimum percentage error occurred in measurements of deep learning techniques as compare to others. The clustering approaches having limitations of data scarcity, which can be eliminated using DL techniques and shows better performance.