Building and Testing a Statistical Shape Model of the Human Ear Canal

  • Authors:
  • Rasmus Paulsen;Rasmus Larsen;Claus Nielsen;Søren Laugesen;Bjarne Ersbøll

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

Today the design of custom in-the-ear hearing aids is based on personal experience and skills and not on a systematic description of the variation of the shape of the ear canal. In this paper it is described how a dense surface point distribution model of the human ear canal is built based on a training set of laser scanned ear impressions and a sparse set of anatomical landmarks placed by an expert. The landmarks are used to warp a template mesh onto all shapes in the training set. Using the vertices from the warped meshes, a 3D point distribution model is made. The model is used for testing for gender related differences in size and shape of the ear canal.