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

Lanz D, Seiler J, Jaskolka K, Kaup A (2018)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 56 - 60

Event location: San Francisco, CA

DOI: 10.1109/pcs.2018.8456262

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.

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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. In Proceedings of the Picture Coding Symposium (pp. 56 - 60). San Francisco, CA, US.

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. 56 - 60.

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