Quantification of Trabeculae Inside the Heart from MRI Using Fractal Analysis
This work addresses the diagnosis of LVNC, a rare cardiomyopathy with severe complications, but it appears incremental as it applies existing fractal analysis methods to a specific medical imaging task.
The paper tackles the quantification of trabeculae in the heart from MRI to diagnose left ventricular non-compaction (LVNC), using fractal dimension analysis to measure complexity, with results indicating that higher fractal dimension values correspond to more complex trabecular patterns.
Left ventricular non-compaction (LVNC) is a rare cardiomyopathy (CMP) that should be considered as a possible diagnosis because of its potential complications which are heart failure, ventricular arrhythmias, and embolic events. For analysis cardiac functionality, extracting information from the Left ventricular (LV) is already a broad field of Medical Imaging. Different algorithms and strategies ranging that is semiautomated or automated has already been developed to get useful information from such a critical structure of heart. Trabeculae in the heart undergoes difference changes like solid from spongy. Due to failure of this process left ventricle non-compaction occurred. In this project, we will demonstrate the fractal dimension (FD) and manual segmentation of the Magnetic Resonance Imaging (MRI) of the heart that quantify amount of trabeculae inside the heart. The greater the value of fractal dimension inside the heart indicates the greater complex pattern of the trabeculae in the heart.