Customized Design of Hearing Aids Using Statistical Shape Learning
Unal, G. B., Nain, D., Slabaugh, G. G. & Fang, T. (2008). Customized Design of Hearing Aids Using Statistical Shape Learning. In: Metaxas, DN, Axel, L, Fichtinger, G & Székely, G (Eds.), MICCAI (1). 11th International Conference on Medical Imaging and Computer Assisted Intervention (MICCAI 2008), 06-09-2008 - 10-09-2008, New York, USA. doi: 10.1007/978-3-540-85988-8_62
Abstract
3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient’s anatomy. In this paper, we present a solution to the problem of customized 3D shape modeling using a statistical shape analysis framework. We design a novel method to learn the relationship between two classes of shapes, which are related by certain operations or transformation. The two associated shape classes are represented in a lower dimensional manifold, and the reduced set of parameters obtained in this subspace is utilized in an estimation, which is exemplified by a multivariate regression in this paper. We demonstrate our method with a felicitous application to estimation of customized hearing aid devices.
| Publication Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-85988-8_62 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RC Internal medicine |
| Departments: | School of Science & Technology > Computer Science |
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