Seeing Beyond the Image: ECG and Anatomical Knowledge-Guided Myocardial Scar Segmentation from Late Gadolinium-Enhanced Images

1. 1Integrate ECG signals with late gadolinium-enhanced images to provide complementary physiological information
2. 2Develop a multimodal framework that incorporates anatomical knowledge to guide myocardial scar segmentation
3. 3Train and evaluate the framework using a dataset of LGE cardiac MRI images and corresponding ECG signals
4. 4Refine the framework to improve accuracy and robustness in the presence of variable contrast and imaging artifacts

This research benefits data scientists and AI engineers working in medical imaging, as well as cardiologists and medical researchers who can apply these findings to improve diagnosis and treatment of heart conditions

💡 Integrating ECG signals and anatomical knowledge can improve the accuracy of myocardial scar segmentation from late gadolinium-enhanced images

💡 New multimodal framework combines ECG signals & anatomical knowledge to improve myocardial scar segmentation from LGE images