Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Lanz D, Seiler J, Jaskolka K, Kaup A
Publication year: 2018
Language: English


Abstract

For the lossless compression of dynamic 3-D+t volumes as produced by medical devices like Computed Tomography, various coding schemes can be applied. This paper shows that 3-D subband coding outperforms lossless HEVC coding and additionally provides a scalable representation, which is often required in telemedicine applications. However, the resulting lowpass subband, which shall be used as a downscaled representative of the whole original sequence, contains a lot of ghosting artifacts. This can be alleviated by incorporating motion compensation methods into the subband coder. This results in a high quality lowpass subband but also leads to a lower compression ratio. In order to cope with this, we introduce a new approach for improving the compression efficiency of compensated 3-D wavelet lifting by performing denoising in the update step. We are able to reduce the file size of the lowpass subband by up to 1.64%, while the lowpass subband is still applicable for being used as a downscaled representative of the whole original sequence.


FAU Authors / FAU Editors

Jaskolka, Karina
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Lanz, Daniela
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Lanz, D., Seiler, J., Jaskolka, K., & Kaup, A. (2018). Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update. San Francisco, CA.

MLA:
Lanz, Daniela, et al. "Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update." Proceedings of the Picture Coding Symposium, San Francisco, CA 2018.

BibTeX: 

Last updated on 2018-03-05 at 10:25