Tehran University of Medical Sciences Frontiers in Biomedical Technologies 2345-5837 10 1 2022 12 28 66 77 Hamidreza Fazilatnezhad Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran Parisa Rangraz Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran Fereidon Noshirvan Rahatabad Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran 2021 10 06 2022 04 30 Accurate measurement of Left Ventricular Ejection Fraction (LVEF (is essential for the diagnosis and prediction of LV arrhythmias. This study aims to estimate LVEF using nonlinear and statistical processing in echocardiography images. The Cardiac Acquisition for Multi-Structure Ultrasound Segmentation (CAMUS) dataset is used to estimate LVEF. This dataset includes ultrasound images data from 60 patients in two different group (LVEF>55%, LVEF<45%). Region growing technique and Anatomical markers were used for segmentation of LV in images to measure area changes. LV area changes have been investigated using nonlinear and statistical analysis. In order to facilitate the process of estimating LVEF, feature extraction and an ANN has been used. The results show that: (1) LV area changes in LVEF<45%, has a mean of (3.254) while LVEF>55% has a lower mean of (3.071) but the mean of variance is (3.818) while for LVEF<45% is (3.471) which can be concluded that the data scatter in LVEF>55% was higher than the mean and indicates larger changes in the LV region. Estimated LVEF using nonlinear and statistical features is shows MSE of (5.15). https://fbt.tums.ac.ir/index.php/fbt/article/view/411 https://fbt.tums.ac.ir/index.php/fbt/article/download/411/292