A New Method for PET Image Reconstruction Using Fourier-Wavelet Moment

Author

Hu, Y. ; Zhou, J. ; Shu, H. ; Luo, L. ; Coatrieux, J.L.

Author_Institution

Lab. of Image Sci. & Technol., Southeast Univ., Nanjing

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

2546

Lastpage

2549

Abstract

In this paper, a new non-regularization method for positron emission tomography (PET) reconstruction is proposed. The proposed method is a feature-based method using Fourier-Wavelet basis. In order to obtain the reconstructions, we have to calculate the Fourier-Wavelet moment (FWM) from the measurements. To achieve this, iterative method is employed. The rotation invariance property of the proposed basis permits us to reduce computational cost. A row-action (RA) like fast convergent algorithm is used to further accelerate the convergence rate. In experiment, we compare the proposed method with some existing algorithms. The results show that our method offers good reconstruction quality compared to conventional MAP method

Keywords

Fourier transforms; feature extraction; image reconstruction; iterative methods; medical image processing; positron emission tomography; wavelet transforms; Fourier-wavelet moment; PET; feature-based method; image reconstruction; iterative method; positron emission tomography; rotation invariance property; Acceleration; Computational efficiency; Convergence; Feature extraction; Image reconstruction; Image resolution; Iterative algorithms; Maximum likelihood estimation; Polynomials; Positron emission tomography; Fourier-Wavelet; PET; moment; reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259602

Filename

4462314