Unfolder maps registration#

Individual points in a represent contact mapping points recorded with the PentaRay catheter in all set A patients, mapped onto the SUM template. Region labels were marked on 3D geometries from all cases in set A and projected onto a cumulative LA-SUM to define the regions in 2D (a). LA-SUM region definitions, representative examples and qualitative data analysis. The LA-SUM would facilitate standardization of future research studies involving segmental analysis of the LA. The method is applicable to any LA surface, including those derived from imaging and EAM systems. The proposed LA-SUM displays an integrated unfold map for multimodal information. Following validation, LA-SUMs were used for automatic quantification of post-ablation scar formation using CMR imaging, demonstrating a weak but significant relationship between ablation force-time integral and scar coverage (R (2) = 0.18, P < 0.0001). Intra-observer variability of LA-SUMs for both EAM and CMR datasets was minimal root-mean square difference of 0.008 ± 0.010 and 0.007 ± 0.005 ms (local activation time maps), 0.068 ± 0.063 gs (force-time integral maps), and 0.031 ± 0.026 (CMR LGE signal intensity maps). The LA-SUM represents 24 LA regions on a flattened surface.

Unfolder maps registration#

The LA-SUM was defined as an unfold template of an average LA mesh, and registration of clinical data to this mesh facilitated creation of new LA-SUMs by surface parameterization. The LA-SUM technique was developed and validated using 18 electroanatomic mapping (EAM) LA geometries before being applied to ten cardiac magnetic resonance/EAM paired geometries. The aim of this work is to develop a method for automatic representation of multimodal information on a left atrial standardized unfold map (LA-SUM). Unfold maps (e.g., the left ventricular bull's eye plot) allow 2D visualization, facilitate multimodal data representation, and provide a common reference space for inter-subject comparison. Left atrial arrhythmia substrate assessment can involve multiple imaging and electrical modalities, but visual analysis of data on 3D surfaces is time-consuming and suffers from limited reproducibility.