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arXiv · 2302.01014

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

Daniela Lanz·Jürgen Seiler·Karina Jaskolka·André Kaup
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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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Daniela Lanz, Jürgen Seiler, Karina Jaskolka, André Kaup. 2023-02-02. Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update. https://arxiv.org/abs/2302.01014

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