C-library raft: Reconstruction algorithms for tomography. Applications to X-ray fluorescence tomography

Author(s)

Miqueles, Eduardo X. ^[1] ; De Pierro, Alvaro R. ^[1]

Affiliation

^[1] Univ Estadual Campinas, Dept Appl Math, Campinas, SP - Brazil

• Document type: Journal article
• Source: COMPUTER PHYSICS COMMUNICATIONS; v. 182, n. 12, p. 2661-2673, DEC 2011.
• Web of Science Citations: 5

Abstract

There are many reconstruction algorithms for tomography, raft for short, and some of them are considered ``classic{''} by researchers. The so-called raft library, provide a set of useful and basic tools, usually needed in many inverse problems that are related to medical imaging. The subroutines in raft are free software and written in C language; portable to any system with a working C compiler. This paper presents source codes written according to raft routines, applied to a new imaging modality called X-ray fluorescence tomography. Program summary Program title: raft Catalogue identifier: AEJY\_v1\_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEJY\_v1\_0.html Program obtainable from: CPC Program Library. Queen's University, Belfast, N. Ireland Licensing provisions: GNU General Public Licence. version 2 No. of lines in distributed program, including test data, etc.: 218 844 No. of bytes in distributed program, including test data, etc.: 3 562 902 Distribution format: tar.gz Programming language: Standard C. Computer: Any with a standard C compiler Operating system: Linux and Windows Classification: 2.4, 2.9, 3, 4.3, 4.7 External routines: raft: autoconf 2.60 or later - http://www.gnu.org/software/autoconf/ GSL scientific library - Imp://www.gnu.org/software/gsl/ Confuse parser library - http://www.nongnu.org/confuse/ raft-fun: gengeropt - hap://www.gnu.org/software/gengeropt/gengetopthtml Nature of problem: Reconstruction algorithms for tomography, specially in X-ray fluorescence tomography. Solution method: As a library, raft covers the standard reconstruction algorithms like filtered backprojection, Novikov's inversion, Hogan's formula, among others. The input data set is represented by a complete sinogram covering a determined angular range. Users are allowed to set solid angle range for fluorescence emission at each algorithm. Running time: 1 second to 15 minutes, depending on the data size. (C) 2011 Elsevier B.V. All rights reserved. (AU)

• FAPESP's process: 09/15844-4 - On the inversion of the generalized Radon Transform: new results in fluorescence tomography
• Grantee: Eduardo Xavier Miqueles
• Support Opportunities: Scholarships in Brazil - Post-Doctoral