Volumetric deformation compensation in CUDA for coding of dynamic cardiac images

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Weinlich A, Bätz M, Amon P, Hutter A, Kaup A
Publisher: IEEE Computer Society
Publication year: 2013
Pages range: 189-192
ISBN: 9781479902941


Abstract


A new approach for volumetric deformation compensation in temporally predictive coding of dynamic medical heart images is presented. Instead of using conventional vectors, motion is represented by deformation values to model 3-D muscle contractions. In this way, estimated motion is more homogeneous among the image domain and predictions do not contain disturbing blocking artifacts making the approach suitable also for non-block-based transform coding. It is shown that with equal numbers of motion values the method can achieve prediction accuracies similar to cube-based motion estimation. The run time of the described parallel implementation in Nvidia CUDA is shown to be shorter than for an equivalent implementation of cube-based motion estimation. © 2013 IEEE.



FAU Authors / FAU Editors

Bätz, Michel
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Weinlich, A., Bätz, M., Amon, P., Hutter, A., & Kaup, A. (2013). Volumetric deformation compensation in CUDA for coding of dynamic cardiac images. (pp. 189-192). San Jose, CA, US: IEEE Computer Society.

MLA:
Weinlich, Andreas, et al. "Volumetric deformation compensation in CUDA for coding of dynamic cardiac images." Proceedings of the 2013 Picture Coding Symposium, PCS 2013, San Jose, CA IEEE Computer Society, 2013. 189-192.

BibTeX: 

Last updated on 2018-04-12 at 13:51