View Printable Version

AbdulWahab Kabani and Mahmoud R. El-Sakka, "Estimating Ejection Fraction and Left Ventricle Volume using Deep Convolutional Networks", International Conference on Image Analysis and Recognition, ICIAR'2016, LNCS 9730, pp. 678-686, Springer-Verlag Berlin Heidelberg, July 2016, Povoa de Varzim, Portugal.


We present a fully automated method to estimate the ejection fraction, the end-systolic and end-diastolic volumes from cardiac MRI images. These values can be manually measured by a cardiologist but the process is slow and time consuming. The method is based on localizing the left ventricle of the image. Then, the slices are cleaned, re-ordered, and preprocessed using the DICOM meta fields. The end-systolic and end-diastolic images for each slice are identified. Finally, the end-systolic and end-diastolic images are passed to a neural network to estimate the volumes.