Multiresolution reconstruction in fan-beam tomography

In this paper, a new multiresolution reconstruction approach for fan-beam tomography is established. The theoretical development assumes radial wavelets. An approximate reconstruction formula based on a near-radial quincunx multiresolution scheme is proposed. This multiresolution algorithm allows to compute both the quincunx approximation and detail coefficients of an image from its fan-beam projections. Simulations on mathematical phantoms show that wavelet decomposition is acceptable for small beam angles but deteriorates at high angles. The main applications of the method are denoising and wavelet-based image analysis.

[1]  Yu-Ping Wang,et al.  Image representations using multiscale differential operators , 1999, IEEE Trans. Image Process..

[2]  F. Natterer The Mathematics of Computerized Tomography , 1986 .

[3]  Jelena Kovacevic,et al.  Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases for Rn , 1992, IEEE Trans. Inf. Theory.

[4]  Abderrazek Karoui,et al.  McClellan transformation and the construction of biorthogonal wavelet bases of L2R2 , 1995 .

[5]  A. Aldroubi,et al.  Wavelets in Medicine and Biology , 1997 .

[6]  K. J. Ray Liu,et al.  Wavelet-based multiresolution local tomography , 1997, IEEE Trans. Image Process..

[7]  Xiaochuan Pan,et al.  Optimal noise control in and fast reconstruction of fan-beam computed tomography image. , 1999, Medical physics.

[8]  Yoram Bresler,et al.  Multiresolution tomographic reconstruction using wavelets , 1994, Proceedings of 1st International Conference on Image Processing.

[9]  Tim Olson,et al.  Wavelet localization of the Radon transform , 1994, IEEE Trans. Signal Process..

[10]  Stephane Bonnet,et al.  Local reconstruction in 3D synchrotron radiation microtomography , 1999, Optics & Photonics.

[11]  Rémy Prost,et al.  Tomographic Reconstruction Using Nonseparable Wavelets , 2022 .

[12]  Carlos A. Berenstein,et al.  Local Inversion of the Radon Transform in Even Dimensions Using Wavelets , 1993 .

[13]  David F. Walnut,et al.  Applications of Gabor and wavelet expansions to the Radon transform , 1992 .

[14]  M. Glas,et al.  Principles of Computerized Tomographic Imaging , 2000 .

[15]  J. S Byrnes,et al.  Probabilistic and stochastic methods in analysis, with applications , 1992 .

[16]  P. Kuchment,et al.  On local tomography , 1995 .

[17]  W. R. Madych,et al.  Tomography, Approximate Reconstruction, and Continuous Wavelet Transforms , 1999 .

[18]  K. J. Ray Liu,et al.  Local tomography in fan-beam geometry using wavelets , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[19]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..