Ultrasound image filtering and reconstruction using DCT/IDCT filter structure

Date published

2020-07-27

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Publisher

IEEE

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Article

ISSN

2169-3536

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Citation

Honarvar Shakibaei Asli B, Flusser J, Zhao Y, et al., (2020) Ultrasound image filtering and reconstruction using DCT/IDCT filter structure, IEEE Access, Volume 8, 2020, pp. 141342-141357

Abstract

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.

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Software Description

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Github

Keywords

Discrete cosine transform (DCT), inverse discrete cosine transform (IDCT), discrete convolution, finite-impulse filter (FIR), Z-transform, ultrasound images, noise

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Attribution 4.0 International

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