Systems and methods for identifying ablation locations using principal component analysis

A computing device for identifying potential ablation sites using principal component analysis (PCA), the computing device comprising:

• a memory device;
• and
• a processor communicatively coupled to the memory device, the processor configured to:
• generate a dataset for analysis, the dataset including a plurality of variables and generated using imaging data associated with a three-dimensional geometry that includes a plurality of vertices;
• perform PCA on the generated dataset to identify a plurality of principal components and to generate, for each vertex of the plurality of vertices, a score associated with each of the plurality of principal components;
• transpose the scores for each vertex onto the three-dimensional geometry;
• and
• display the three-dimensional geometry including the transposed scores to facilitate identifying potential ablation sites.

Non-transitory computer-readable media having computer-executable instructions thereon, wherein when executed by a processor of a computing device, cause the processor of the computing device to:

• generate a dataset for analysis, the dataset including a plurality of variables and generated using imaging data associated with a three-dimensional geometry that includes a plurality of vertices;
• perform PCA on the generated dataset to identify a plurality of principal components and to generate, for each vertex of the plurality of vertices, a score associated with each of the plurality of principal components;
• transpose the scores for each vertex onto the three-dimensional geometry;
• and
• display the three-dimensional geometry including the transposed scores to facilitate identifying potential ablation sites.