Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure

0531609 - ÚTIA 2021 RIV US eng J - Journal Article
Honarvar Shakibaei Asli, Barmak - Flusser, Jan - Zhao, Y. - Erkoyuncu, J. A. - Krishnan, K. B. - Farrokhi, Y. - Roy, A. R.
Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure.
IEEE Access. Roč. 8, č. 1 (2020), s. 141342-141357. ISSN 2169-3536. E-ISSN 2169-3536
R&D Projects: GA ČR GA18-07247S; GA ČR GJ18-26018Y
Institutional support: RVO:67985556
Keywords : Discrete cosine transform (DCT) * inverse discrete cosine transform (IDCT) * discrete convolution * finite-impulse filter (FIR) * Z-transform * ultrasound images * noise
OECD category: Computer hardware and architecture
Impact factor: 3.367, year: 2020
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2020/ZOI/honarvar-0531609.pdf https://ieeexplore.ieee.org/document/9149615

In this paper, a new recursive structure based on the convolution model of discrete cosine transform (DCT) for designing of a finite impulse response (FIR) digital filter is proposed. In our derivation, we start with the convolution model of DCT-II to use its Z-transform for the proposed filter structure perspective. Moreover, using the same algorithm, a filter base implementation of the inverse DCT (IDCT) for image reconstruction is developed. The computational time experiments of the proposed DCT/IDCT filter(s) demonstrate that the proposed filters achieve faster elapsed CPU time compared to the direct recursive structures and recursive algorithms for the DCT/IDCT with Arbitrary Length. Experimental results on clinical ultrasound images and comparisons with classical Wiener filter, non-local mean (NLM) filter and total variation (TV) algorithms are used to validate the improvements of the proposed approaches in both noise reduction and reconstruction performance for ultrasound images.
Permanent Link: http://hdl.handle.net/11104/0310650