Development of the new image processing and machine learning methods for medical image analysis.
All our researchers are employed at FERIT
This work has been supported in part by Croatian Science
Foundation under the project UIP-2017-05-4968.
Automatic segmentation of heart chambers directly depends on the localization of these chambers within a CT or an MRI image. A geometry chambers analysis (volume of a heart muscle, minute volume, ejection fraction) directly depends on the appropriate segmentation.
WP3 - Segmentation and analysis of other relevant coronary arteries and epicardial fat quantification
The previously developed methods will be used to implement isolation and heart visualization methods in the fifth work package. These methods are of the utmost importance to doctors in order to determine heart anatomy as well as the location and geometry of coronary arteries. The heart isolation methods stem from previous segmentation of heart structures using the adjustment of predefined heart mesh and machine learning.