Fusion of brushlet and wavelet denoising methods for nuclear images

Author

Angelini, Emma ; Esser, Y.J.P. ; van Heertum, R. ; Laine, Andrew

Author_Institution

Columbia Univ., New York, NY, USA

fYear

2004

fDate

18-18 April 2004

Firstpage

1187

Abstract

This paper presents preliminary results on the fusion of denoised PET and SPECT data volumes from brushlet and wavelet thresholding methods. Texture-based brushlet denoising is well suited for enhancement of physiological information while wavelet-based denoising is better suited for enhancement of anatomical contours. A three-dimensional multiscale edge-based data fusion algorithm is applied to combine enhanced data from these two independent denoising methods. Preliminary results with qualitative evaluation of PET and SPECT data by an expert clinician showed great potential of this approach to combine enhancement of both anatomical and physiological signal information for improved image quality.

Keywords

image denoising; image enhancement; image texture; medical image processing; positron emission tomography; sensor fusion; single photon emission computed tomography; wavelet transforms; anatomical contour enhancement; denoised PET; denoised SPECT data; image quality; nuclear image; physiological information enhancement; texture-based brushlet denoising; three-dimensional multiscale edge-based data fusion algorithm; wavelet denoising method; Discrete wavelet transforms; Image quality; Image reconstruction; Low pass filters; Noise level; Noise reduction; Positron emission tomography; Sampling methods; Signal to noise ratio; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on

Conference_Location

Arlington, VA, USA

Print_ISBN

0-7803-8388-5

Type

conf

DOI

10.1109/ISBI.2004.1398756

Filename

1398756