| Session: | Point Clouds, 360 and Volumetric Data |
| Location: | Lecture Room |
| Session Time: | Tuesday, June 26, 13:40 - 15:20 |
| Presentation Time: | Tuesday, June 26, 14:20 - 14:40 |
| Presentation: |
Lecture
|
| Paper Title: |
COMPRESSION OF DYNAMIC MEDICAL CT DATA USING MOTION COMPENSATED WAVELET LIFTING WITH DENOISED UPDATE |
| Authors: |
Daniela Lanz; Friedrich-Alexander-University, Germany | | |
| | Jürgen Seiler; Friedrich-Alexander-University, Germany | | |
| | Karina Jaskolka; Friedrich-Alexander-University, Germany | | |
| | André Kaup; Friedrich-Alexander-University, Germany | | |
| 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. |