Fast Interpolation of Dense Motion Fields from Synthetic Phantoms

Maier A, Taubmann O, Wetzl J, Wasza J, Forman C, Fischer P, Hornegger J, Fahrig R (2014)

Publication Type: Conference contribution, Original article

Publication year: 2014

Publisher: Springer

Edited Volumes: Informatik aktuell

City/Town: Berlin

Pages Range: 168-173

Edition: 1

Conference Proceedings Title: Bildverarbeitung für die Medizin 2014

Event location: Aachen

ISBN: 978-3-642-54110-0

URI: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Maier14-FIO.pdf

DOI: 10.1007/978-3-642-54111-7_34

Abstract

Numerical phantoms are a common tool for the evaluation of registration and reconstruction algorithms. For applications concerning motion, dense deformation fields are of particular interest. Phantoms, however, are often described as surfaces and thus motion vectors can only be generated at these surfaces. In order to create dense motion fields, interpolation is required. A frequently used method for this purpose is the Parzen interpolator. However, with a high number of surface motion vectors and a high voxel count, its run time increases dramatically. In this paper, we investigate different methods to accelerate the creation of these motion fields using hierarchical sampling and the random ball cover. In the results, we show that a 64³ volume can be sampled in less than one second with an error below 0.1 mm. Furthermore, we accelerate the interpolation of a 256³ dense deformation field to only 6.5 minutes using the proposed methods from days with previous methods.

Authors with CRIS profile

Involved external institutions

Stanford University United States (USA) (US)

How to cite

APA:

Maier, A., Taubmann, O., Wetzl, J., Wasza, J., Forman, C., Fischer, P.,... Fahrig, R. (2014). Fast Interpolation of Dense Motion Fields from Synthetic Phantoms. In Bildverarbeitung für die Medizin 2014 (pp. 168-173). Aachen: Berlin: Springer.

MLA:

Maier, Andreas, et al. "Fast Interpolation of Dense Motion Fields from Synthetic Phantoms." Proceedings of the Bildverarbeitung für die Medizin 2014, Aachen Berlin: Springer, 2014. 168-173.

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