Ünal, Gözde (2010) Nonparametric joint shape learning for customized shape modeling. Computerized Medical Imaging and Graphics, 34 (4). pp. 298-307. ISSN 0895-6111
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Official URL: http://dx.doi.org/10.1016/j.compmedimag.2009.12.001
Abstract
We present a shape optimization approach to compute patient-specific models in customized prototyping applications. We design a coupled shape prior to model the transformation between a related pair of surfaces, using a nonparametric joint probability density estimation. The coupled shape prior forces with the help of application-specific data forces and smoothness forces drive a surface deformation
towards a desired output surface. We demonstrate the usefulness of the method for generating customized shape models in applications of hearing aid design and pre-operative to intra-operative anatomic surface estimation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Shape estimation; Variational shape optimization; Customized shape modeling; Nonparametric shape density; Joint shape prior; Hearing aid design; Pre-operative and intra-operative shape modeling |
| Subjects: | Q Science > QA Mathematics > QA075 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Electronics Faculty of Engineering and Natural Sciences |
| Depositing User: | Gözde Ünal |
| Date Deposited: | 06 May 2010 10:55 |
| Last Modified: | 26 Apr 2022 08:36 |
| URI: | https://research.sabanciuniv.edu/id/eprint/13912 |
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