Quantitative assessment of heart function: A hybrid mechanism for left ventricle segmentation from cine MRI sequences

Abstract

In this paper, we propose a hybrid approach for segmenting the left ventricle out of magnetic resonance sequences and apply results of the segmen- tation for heart quantification. The hybrid approach uses a thresholding-based region growing algorithm coupled with gradient vector flow (GVF). Results of the segmentation steps were used for the quantification process and yielded values of 175.4 ± 51.52 (ml), 66 ± 38.97 (ml), and 61.60 ± 12.79 (%) for end diastolic volume (EDV), end systolic volume (ESV), and ejection fraction (EF), respectively.