A General Approach to Model Biomedical Data from 3D Unorganised Point Clouds with Medial Scaffolds

We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. The MS (and associated 3D MA) can be computed as the result of the singularities of a geometric wave propagation simulation. We consider here some of the potential applications of this shape model in the realm of biomedical imaging. We can reconstruct complex object surfaces and make explicit the coarse-scale structures, which are ready-to-use in a number of practical applications, including: morphological measurement for cortex or bone thickness, centerline extraction (curve skeleton) for tracheotomy or colonoscopy, surface partitioning for cortical or anatomical surface classification, as well as registration and matching of shapes of tumors or carpal bones. The MS permits to automatically and efficiently map an unorganised point cloud, i.e., simple 3D coordinates of point samples, to a coherent surface set a...

• Type: Journal
• Year: 2010
• Where: VCBM
• Authors: Frederic F. Leymarie, Ming-Ching Chang, Celina Imielinska, Benjamin B. Kimia
• Keywords: Acyclic Oriented Graph, Anatomical Surface Classification, Applied Computing, Morphological Measurements, VCBM 2010