Filtering for image reconstruction from projections

We describe a method of determining a filter that will suppress the ringing effect in the digital image reconstruction from projections. The method considers a point spread function for the image reconstruction. A set of simultaneous equations relating the filter function to the point spread function is derived. The solution of these equations by the projection method gives the filter. The filter derived is immediately applicable to the algorithm of the filtered back projection method. Some examples of the image reconstruction with apodization filters are shown by computer simulation.

[1]  T A Iinuma,et al.  Correction functions for optimizing the reconstructed image in transverse section scan. , 1975, Physics in medicine and biology.

[2]  Naoshi Baba,et al.  Measurement of the Intensity Distribution of an Object by a Strip Telescope : Diverse Measurements , 1975 .

[3]  E. W. Marchand Derivation of the Point Spread Function from the Line Spread Function , 1964 .

[4]  Robert D. Matulka,et al.  Determination of Three‐Dimensional Density Fields from Holographic Interferograms , 1971 .

[5]  B. F. Logan,et al.  The Fourier reconstruction of a head section , 1974 .

[6]  Brian J. Thompson,et al.  On the Apodization of Coherent Imaging Systems , 1974 .

[7]  S J Riederer,et al.  Ripple suppression during reconstruction in transverse tomography. , 1975, Physics in medicine and biology.

[8]  Koichi Iwata,et al.  Calculation of Three-Dimensional Refractive-Index Distribution from Interferograms* , 1970 .

[9]  G. Herman,et al.  Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and x-ray photography. , 1970, Journal of theoretical biology.

[10]  A. C. Riddle,et al.  Inversion of Fan-Beam Scans in Radio Astronomy , 1967 .

[11]  D. DeRosier,et al.  The reconstruction of a three-dimensional structure from projections and its application to electron microscopy , 1970, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[12]  C M Vest,et al.  Reconstruction of three-dimensional refractive index fields from multidirectional interferometric data. , 1973, Applied optics.

[13]  K. Tanabe Projection method for solving a singular system of linear equations and its applications , 1971 .

[14]  G. N. Ramachandran,et al.  Three-dimensional reconstruction from radiographs and electron micrographs: application of convolutions instead of Fourier transforms. , 1971, Proceedings of the National Academy of Sciences of the United States of America.

[15]  G. Herman,et al.  Three-dimensional reconstruction from projections: a review of algorithms. , 1974, International review of cytology.

[16]  E. W. Marchand From Line to Point Spread Function: The General Case , 1965 .

[17]  Ronald N. Bracewell,et al.  Image reconstruction over a finite field of view , 1975 .

[18]  R. Bracewell Strip Integration in Radio Astronomy , 1956 .

[19]  T S Huang,et al.  Iterative image restoration. , 1975, Applied optics.

[20]  R. M. Mersereau,et al.  Digital reconstruction of multidimensional signals from their projections , 1974 .