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How to scale reconstruction filters in 2D‐computerized tomography
Author(s) -
Rieder A.
Publication year - 2001
Publication title -
zamm ‐ journal of applied mathematics and mechanics / zeitschrift für angewandte mathematik und mechanik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 51
eISSN - 1521-4001
pISSN - 0044-2267
DOI - 10.1002/zamm.20010811587
Subject(s) - discretization , tomography , iterative reconstruction , scaling , scale (ratio) , filter (signal processing) , reconstruction algorithm , algorithm , computer vision , function (biology) , computer science , relation (database) , computed tomography , artificial intelligence , algebraic reconstruction technique , mathematics , geometry , mathematical analysis , optics , physics , radiology , medicine , data mining , quantum mechanics , evolutionary biology , biology
The state‐of‐the‐art reconstruction algorithm in 2D tomography is the filtered backprojection algorithm. The quality of the reconstructed density function depends crucially on the proper scaling of the reconstruction filter in relation to the discretization step size. We show how to do it the right way in the parallel scanning geometry.