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

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    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.
    Original languageEnglish
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th Int. Conference, Tokyo, Japan
    PublisherSpringer
    Publication date2002
    Publication statusPublished - 2002
    Event5th Internatinal Conference on Medical Image Computing and Computer-Assisted Intervention - Tokya , Japan
    Duration: 25 Sept 200228 Sept 2002
    Conference number: 5

    Conference

    Conference5th Internatinal Conference on Medical Image Computing and Computer-Assisted Intervention
    Number5
    Country/TerritoryJapan
    CityTokya
    Period25/09/200228/09/2002

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