Cardiac epicardial and mediastinal fat volumes correlate: the feasibility of predicting one based on the other

We propose a methodology to predict the cardiac epicardial and mediastinal fat volumes in Computed Tomography images using regression algorithms. We conclude that it is feasible to predict these fats with a high degree of correlation, thus alleviating the requirement for manual or automatic segmentation of both fat volumes. Instead, segmenting just one of them suffices, while the volume of the other may be predicted fairly precisely. The correlation coefficient obtained by the Rotation Forest algorithm using the MLP Regressor in predicting the mediastinal fat based on the epicardial fat is 0.9876, with a relative absolute error of 14.4% and a root relative squared error of 15.7%.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Source Type: research