Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

Volume 5241 of the series Lecture Notes in Computer Science pp 518-526

Customized Design of Hearing Aids Using Statistical Shape Learning

  • Gozde UnalAffiliated withFaculty of Engineering and Natural Sciences, Sabanci University
  • , Delphine NainAffiliated withMcKinsey& Company
  • , Greg SlabaughAffiliated withSiemens Corporate Research,  
  • , Tong FangAffiliated withSiemens Corporate Research,  

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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.