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

Rasmus Reinhold Paulsen; Rasmus Larsen; Søren Laugesen; Claus Nielsen; Bjarne Kjær Ersbøll

doi:10.1007/3-540-45787-9_47

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

Rasmus Reinhold Paulsen, Rasmus Larsen, Søren Laugesen, Claus Nielsen, Bjarne Kjær Ersbøll

Oticon Danmark AS

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th Int. Conference, Tokyo, Japan
Publisher	Springer
Publication date	2002
Pages	373-380
DOIs	https://doi.org/10.1007/3-540-45787-9_47
Publication status	Published - 2002
Event	5th Internatinal Conference on Medical Image Computing and Computer-Assisted Intervention - Tokya , Japan Duration: 25 Sept 2002 → 28 Sept 2002 Conference number: 5

Conference

Conference	5th Internatinal Conference on Medical Image Computing and Computer-Assisted Intervention
Number	5
Country/Territory	Japan
City	Tokya
Period	25/09/2002 → 28/09/2002

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2489
ISSN	0302-9743

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Paulsen, Rasmus Reinhold ; Larsen, Rasmus ; Laugesen, Søren et al. / Building and Testing a Statistical Shape Model of the Human Ear Canal. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th Int. Conference, Tokyo, Japan. Springer, 2002. pp. 373-380 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2489).

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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.",

keywords = "Registration, Thin Plate Spline Warp, Horns Parallel Analysis, Procrustes, statistical shape analysis",

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Paulsen, RR , Larsen, R, Laugesen, S, Nielsen, C & Ersbøll, BK 2002, Building and Testing a Statistical Shape Model of the Human Ear Canal. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th Int. Conference, Tokyo, Japan. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2489, pp. 373-380, 5th Internatinal Conference on Medical Image Computing and Computer-Assisted Intervention, Tokya , Japan, 25/09/2002. https://doi.org/10.1007/3-540-45787-9_47

Building and Testing a Statistical Shape Model of the Human Ear Canal. / Paulsen, Rasmus Reinhold ; Larsen, Rasmus; Laugesen, Søren et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th Int. Conference, Tokyo, Japan. Springer, 2002. p. 373-380 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2489).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Paulsen RR , Larsen R, Laugesen S, Nielsen C, Ersbøll BK. Building and Testing a Statistical Shape Model of the Human Ear Canal. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002, 5th Int. Conference, Tokyo, Japan. Springer. 2002. p. 373-380. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2489). doi: 10.1007/3-540-45787-9_47