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Shape Variation Analyzer

Key Investigators

Project Description

Osteoarthritis (OA), the most prevalent arthritis worldwide, is associated with significant pain and disability. The complex pathogenesis of temporomandibular joint (TMJ) OA remains unclear to this day, and its course challenges experts given the different morphological patterns of bone resoption and formation observed in its various stages. We developed ShapeVariationAnalyzer (SVA), a neural network to classify morphological variations using 3D models of the mandibular condyle that can provide information about bony changes and disease changing in TMJ OA.

Objective

  1. Develop a noninvasive technique to provide information about bony changes and disease changing in TMJ OA
  2. Classify morphological variations using 3D models of the mandibular condyle
  3. Build an accurate neural network for this classification

Approach and Plan

  1. Extract other features to run the neural network and make it more accurate
  2. Test with this new model

Progress and Next Steps

Illustrations

TMJ degenerative model

Background and References