phantom reconstruction

What is SNARK09?

The reconstruction problem has arisen in a large number of scientific fields (including computed tomography, electron microscopy, radiology, radio astronomy and holography). Many different methods (algorithms) have been suggested for its solution.

SNARK09 is a programming system for the reconstruction of 2D images from 1D projections. It is designed to help researchers interested in developing and evaluating reconstruction algorithms.

In the area of image reconstruction, researchers often desire to compare two or more reconstruction techniques and assess their relative merits. SNARK09 provides a uniform framework in which to implement algorithms and evaluate their performance. SNARK09 has been designed to treat both parallel and divergent projection geometries and can create test data for use by reconstruction algorithms. A number of frequently used reconstruction algorithms are incorporated.

New in SNARK09

SNARK09 is an updated version of SNARK05. The following are the major advances that are incorporated into the SNARK09 package:


SNARK09 is a descendant of earlier releases of SNARK, the first one of which was written by Richard Gordon in 1970 in FORTRAN.

SNARK77 and SNARK89 were specifically designed to help with the problem of reconstructing cross-sections of the X-ray absorption coefficient distribution inside the body from X-ray projections. SNARK93 extended this capability to include positron emission tomography, PET.

The SNARK93 programming system was implemented in FORTRAN77. It was designed to

The most recent previous version, SNARK05, was implemented in C++. The following were the major advances that were incorporated into the SNARK05 package:


This website is being maintained by Ze Ye and Gabor T. Herman, whose work is supported by the National Science Foundation under Grant No. DMS-1114901. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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