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.
|Title of host publication||Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th Int. Conference, Tokyo, Japan|
|Publication status||Published - 2002|
|Event||5th Internatinal Conference on Medical Image Computing and Computer-Assisted Intervention - Tokya , Japan|
Duration: 25 Sep 2002 → 28 Sep 2002
Conference number: 5
|Conference||5th Internatinal Conference on Medical Image Computing and Computer-Assisted Intervention|
|Period||25/09/2002 → 28/09/2002|