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Proceedings Paper

Wavelet based de-noising methods for local SPECT reconstruction with nonuniform attenuation
Author(s): Li Wang; Junhai Wen; Jing Yang; Yunbin Chen; Zhengrong Liang
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Paper Abstract

In the conventional single photon emission computed tomography (SPECT), reconstruction algorithm requires full projection data to reconstruct the images, which will be time-consuming. While in clinic, doctors usually just care about the region of interest (ROI), such as heart, not whole body, in this case, a local SPECT reconstruction algorithm is needed to reconstruct the ROI by only using the projection data from the ROI. In SPECT, the non-stationary Possion noise in the projection data (sinogram) is a major cause to compromise the quality of the reconstructed images. To improve the reconstruction quality, we must remove the Possion noise in the sinogram before reconstruction. However, the conventional space or frequency domain de-noising methods possibly remove the edge information, which is very important for the accurate reconstruction, especially for the local SPECT reconstruction with non-uniform attenuation. Wavelet transform, due to its excellent localization property, has rapidly become an indispensable image processing tool for de-noising. In this paper, we tried to find out the properties of wavelet based de-noising methods for local SPECT reconstruction with non-uniform attenuation. From the de-noising results, we can see that wavelet based de-noising methods have good performance for local SPECT reconstruction.

Paper Details

Date Published: 14 March 2009
PDF: 8 pages
Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72582O (14 March 2009); doi: 10.1117/12.811718
Show Author Affiliations
Li Wang, Beijing Institute of Technology (China)
Junhai Wen, Beijing Institute of Technology (China)
Jing Yang, Beijing Institute of Technology (China)
Yunbin Chen, Beijing Institute of Technology (China)
Zhengrong Liang, Stony Brook Univ. (United States)

Published in SPIE Proceedings Vol. 7258:
Medical Imaging 2009: Physics of Medical Imaging
Ehsan Samei; Jiang Hsieh, Editor(s)

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