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.
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© 2002 Springer-Verlag Berlin Heidelberg
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Paulsen, R., Larsen, R., Nielsen, C., Laugesen, S., Ersbøll, B. (2002). Building and Testing a Statistical Shape Model of the Human Ear Canal. In: Dohi, T., Kikinis, R. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002. MICCAI 2002. Lecture Notes in Computer Science, vol 2489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45787-9_47
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DOI: https://doi.org/10.1007/3-540-45787-9_47
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