%E2%80%9CA+Novel+and+Efficient+Method+of+Persistent+Homology+to+Detect+and+Remove+Topological+Errors+in+Triang+Mesh+Data%E2%80%9D

“A Novel and Efficient Method of Persistent Homology to Detect and Remove Topological Errors in Triang Mesh Data”

Alexander Zhang

“A Novel and Efficient Method of Persistent Homology to Detect and Remove Topological Errors in Triang Mesh Data”

Modern algorithms take nearly 20 minutes to find and correct errors in 3D models of human brains generated from MRI and CT scans. Zhang improved upon these algorithms by more than six-fold by using patterns in 3D surface topology and geometry, shortening the runtime to only three minutes.

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