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A reconstruction algorithm for coherent scatter computed tomography based on filtered back‐projection
Author(s) -
van Stevendaal U.,
Schlomka J.P.,
Harding A.,
Grass M.
Publication year - 2003
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1598731
Subject(s) - iterative reconstruction , projection (relational algebra) , algebraic reconstruction technique , computer vision , algorithm , medical imaging , tomography , artificial intelligence , scanner , computer science , back projection , image quality , optics , mathematics , physics , image (mathematics)
Coherent scatter computed tomography (CSCT) is a reconstructive x‐ray imaging technique that yields the spatially resolved coherent‐scatter form factor of the investigated object. Reconstruction from coherently scattered x‐rays is commonly done using algebraic reconstruction techniques (ART). In this paper, we propose an alternative approach based on filtered back‐projection. For the first time, a three‐dimensional (3D) filtered back‐projection technique using curved 3D back‐projection lines is applied to two‐dimensional coherent scatter projection data. The proposed algorithm is tested with simulated projection data as well as with projection data acquired with a demonstrator setup similar to a multi‐line CT scanner geometry. While yielding comparable image quality as ART reconstruction, the modified 3D filtered back‐projection algorithm is about two orders of magnitude faster. In contrast to iterative reconstruction schemes, it has the advantage that subfield‐of‐view reconstruction becomes feasible. This allows a selective reconstruction of the coherent‐scatter form factor for a region of interest. The proposed modified 3D filtered back‐projection algorithm is a powerful reconstruction technique to be implemented in a CSCT scanning system. This method gives coherent scatter CT the potential of becoming a competitive modality for medical imaging or nondestructive testing.