Conference contribution
(Original article)


Fast Interpolation of Dense Motion Fields from Synthetic Phantoms


Publication Details
Author(s): Maier A, Taubmann O, Wetzl J, Wasza J, Forman C, Fischer P, Hornegger J, Fahrig R
Edition name or number: 1
Title edited volumes: Informatik aktuell
Publisher: Springer
Publishing place: Berlin
Publication year: 2014
Conference Proceedings Title: Bildverarbeitung für die Medizin 2014
Pages range: 168-173
ISBN: 978-3-642-54110-0
ISSN: 1431-472X

Event details
Event: Bildverarbeitung für die Medizin 2014
Event location: Aachen
Start date of the event: 16/03/2014
End date of the event: 18/03/2014

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.



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.

BibTeX: Download


External Organisations
Share link
Last updated on 2017-10-18 at 02:52
PDF downloaded successfully