Compressed sensing based 3D tomographic reconstruction for rotational angiography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6891 LNCS, Issue PART 1, 2011, Pages 97-104

  Langet, Hélène ^a,b,c   Riddell, Cyril ^a   Trousset, Yves ^a   Tenenhaus, Arthur ^b   Lahalle, Elisabeth ^b   Fleury, Gilles ^b   Paragios, Nikos ^c  

^a GE HEALTHCARE   (France)

^b SUPELEC   (France)

^c Ecole Centrale de Paris   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOGRAPHY; COMPRESSED SENSING; COMPUTERIZED TOMOGRAPHY; ITERATIVE METHODS; MEDICAL COMPUTING; MEDICAL IMAGING;

3D TOMOGRAPHIC RECONSTRUCTION; BACKGROUND SUBTRACTION; CONE-BEAM GEOMETRIES; FILTERED BACK-PROJECTION; ROTATIONAL ANGIOGRAPHY; SPARSE APPROXIMATIONS; TECHNICAL LIMITATIONS; TOMOGRAPHIC RECONSTRUCTION;

IMAGE RECONSTRUCTION;

ALGORITHM; ANGIOGRAPHY; ARTICLE; ARTIFACT; BRAIN; COMPUTER ASSISTED SURGERY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; HUMAN; IMAGE PROCESSING; METHODOLOGY; PATHOLOGY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANGIOGRAPHY; ARTIFACTS; BRAIN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; SOFTWARE; SURGERY, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 82255164733     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23623-5_13     Document Type: Conference Paper

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