A novel computational method enables the reconstruction of the left ventricle from electroanatomical data points and allows quantitative analysis of scar areas, border zones, and arrhythmia substrates.
A novel computational method enables the quantitative analysis of electroanatomical mapping data to identify scar border zones and potential arrhythmia substrates in the left ventricle.
Adequate description of heart muscle electrical activity is essential for the proper treatment of cardiac arrhythmias. Contemporary mapping and ablating systems allow a physician to introduce an electrode (catheter) into the human heart, to measure the position of the electrode in space and, simultaneously, the electrical activity timing and the bipolar and unipolar signal amplitudes--which correspond to the electrical viability of the heart muscle. If enough data points are collected, an approximate reconstruction of the heart chamber geometry (anatomy) is possible using also surface data such as the viability and local activity isochrones. Myocardial viability in patients after myocardial infarction is crucial for understanding and treating life threatening arrhythmias. Although there are commercial tools for heart chamber reconstruction, they lack the ability to quantitatively analyse the reconstructed data. Here, we show a method of reconstruction of the left ventricle of the heart from a measured set of data points and perform an interpolation of the measured voltages over the reconstructed surface. Next, we detect regions with voltage in a specified range and compute their areas and circumferences. Our methods allowed us to quantitatively describe the 'normal' muscle, the damaged or scar areas and the border zones between healthy muscle and the scars. In particular, we are able to find geometries of the damaged muscle areas that may be dangerous, e.g. when two such areas lie close to each other creating an isthmus--a macroreentry arrhythmia substrate. This work was inspired by a clinical hypothesis that the size of the border zone corresponds to the rate of occurrence of ventricular arrhythmia in patients after myocardial infarction.
Kuklik et al. (Wed,) conducted a other in Cardiac arrhythmias / Myocardial infarction. Computational method for heart chamber reconstruction and quantitative analysis was evaluated on Quantitative description of normal muscle, damaged/scar areas, and border zones. A novel computational method enables the reconstruction of the left ventricle from electroanatomical data points and allows quantitative analysis of scar areas, border zones, and arrhythmia substrates.