Effective Denoising of 2D Gel Proteomics Images using Contourlets

Author

Tsakanikas, P. ; Manolakos, I.

Author_Institution

Athens Univ., Athens

Volume

6

fYear

2007

fDate

Sept. 16 2007-Oct. 19 2007

Abstract

2D gel electrophoresis (2DGE) is the most commonly used method for protein separation. After gel scanning, images with a plethora of spot features are generated. In this paper we propose the use of the contourlet transform (CT) for 2D gels image denoising and compare it to the wavelet transform (WT). We show that contourlets not only achieve better average PSNR performance, but also preserve better, relatively to wavelets, the spot boundaries and alter less the intensities of significant spot features. Proper denoising of 2DGE images is essential in order to extract reliable spot features in proteomics workflows for biomarkers discovery.

Keywords

biology computing; electrophoresis; image denoising; proteins; transforms; 2D gel electrophoresis; biomarkers discovery; contourlet transform; image denoising; protein separation; Biomarkers; Computed tomography; Electrokinetics; Feature extraction; Image denoising; Noise reduction; PSNR; Proteins; Proteomics; Wavelet transforms; 2D gel images; Biomedical image processing denoising; Contourlets; Proteomics; Wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2007. ICIP 2007. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1522-4880

Print_ISBN

978-1-4244-1437-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2007.4379573

Filename

4379573