The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities

Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

Volumn 324, Issue , 2014, Pages 41-48

  Mirone, Alessandro ^a   Brun, Emmanuel ^a,b   Gouillart, Emmanuelle ^c   Tafforeau, Paul ^a   Kieffer, Jerome ^a  

^a EUROPEAN SYNCHROTRON RADIATION FACILITY   (France)

^b UNIVERSITY OF MUNICH   (Germany)

^c SAINT GOBAIN RECHERCHE   (France)

Author keywords

Dictionary learning; Filtered back projection; High performance computing; Reduced dose; Tomography; Total variation

Indexed keywords

DICTIONARY LEARNING; FILTERED BACK-PROJECTION; HIGH PERFORMANCE COMPUTING; REDUCED DOSE; TOTAL VARIATION;

TOMOGRAPHY;

ITERATIVE METHODS;

EID: 84897615090     PISSN: 0168583X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nimb.2013.09.030     Document Type: Article

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