Literature DB >> 20033582

Design of a noise-dependent shrinkage function in wavelet shrinkage of X-ray CT image.

Naruomi Yasuda1, Yoshie Kodera.   

Abstract

PURPOSE: Many shrinkage functions have been introduced and applied for the wavelet shrinkage denoising of computed tomography (CT) images. However, these functions have problems in continuity of functions and cause "shrinkage artifacts". Therefore, we designed a new and smooth shrinkage function using noise distribution.
METHODS: The proposed shrinkage function was designed under the following four conditions: (1) use of noise distribution, (2) shrunk coefficients having all ranges of amplitude, (3) function continuity, and (4) property of a function that is controllable by two parameters. The designed function was applied to phantom and chest CT images and denoising performance was compared with other functions.
RESULTS: In the proposed method, edge and pixel values were maintained when compared with previous functions, the occurrence of shrinkage artifacts was smaller, and high- quality denoised images were obtained.
CONCLUSIONS: The proposed shrinkage function is effective for low-dose noisy CT images when using accurately selected parameters.

Mesh:

Year:  2009        PMID: 20033582     DOI: 10.1007/s11548-009-0308-z

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  9 in total

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Authors:  Tadashi Sasaki; Takao Hanari; Makoto Sasaki; Hirofumi Oikawa; Hiroshi Gakumazawa; Miwa Okumura; Yoshihiro Ikeda; Naoko Toyoshima
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2004-12

7.  Improvement of image quality in chest MDCT using nonlinear wavelet shrinkage with trimmed-thresholding.

Authors:  Naruomi Yasuda; Yoko Ishikawa; Yoshie Kodera
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2005-12-20

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Authors:  Jean-Luc Starck; Emmanuel J Candès; David L Donoho
Journal:  IEEE Trans Image Process       Date:  2002       Impact factor: 10.856

9.  Adaptive wavelet thresholding for image denoising and compression.

Authors:  S G Chang; B Yu; M Vetterli
Journal:  IEEE Trans Image Process       Date:  2000       Impact factor: 10.856

  9 in total

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