Spatially varying registration using Gaussian processes

Gerig, Thomas and Shahim, Kamal and Reyes, Mauricio and Vetter, Thomas and Lüthi, Marcel.. (2014) Spatially varying registration using Gaussian processes. In: Medical image computing and computer-assisted intervention – MICCAI 2014 : 17th International Conference, Boston, MA, USA, September 14-18, 2014 ; Proceedings, Part 2. Cham, pp. 414-420.

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Official URL: http://edoc.unibas.ch/dok/A6328768

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In this paper we propose a new approach for spatially-varyingregistration using Gaussian process priors. The method is based on theidea of spectral tempering, i.e. the spectrum of the Gaussian processis modied depending on a user dened tempering function. The resultis a non-stationary Gaussian process, which induces dierent amountof smoothness in dierent areas. In contrast to most other schemes forspatially-varying registration, our approach does not require any changein the registration algorithm itself, but only aects the prior model.Thus we can obtain spatially-varying versions of any registration methodwhose deformation prior can be formulated in terms of a Gaussian process.This includes for example most spline-based models, but also statisticalshape or deformation models. We present results for the problemof atlas based skull-registration of cone beam CT images. These datasetsare dicult to register as they contain a large amount of noise aroundthe teeth. We show that with our method we can become robust againstnoise, but still obtain accurate correspondence where the data is clean.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Computergraphik Bilderkennung (Vetter)
UniBasel Contributors:Vetter, Thomas and Gerig, Thomas and Lüthi, Marcel
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Also published in: Lecture notes in computer science. - Berlin : Springer. - 8674 (2014), S. 414-420 -- Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:31 Dec 2015 10:56
Deposited On:09 Jan 2015 09:25

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