Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT

European Radiology

Volumn 24, Issue 6, 2014, Pages 1239-1250

  Hashemi, SayedMasoud ^a   Mehrez, Hatem ^b   Cobbold, Richard S C ^a   Paul, Narinder S ^c  

^a UNIVERSITY OF TORONTO   (Canada)

^b Toshiba of Canada Limited   (Canada)

^c TORONTO GENERAL HOSPITAL   (Canada)

Author keywords

Computed tomography; Image reconstruction; Pulmonary nodule characterization; Pulmonary nodule detection; Ultra low dose reconstruction

Indexed keywords

ARTICLE; ARTIFACT; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; CONTRAST TO NOISE RATIO; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; HISTOGRAM; HUMAN; IMAGE RECONSTRUCTION; LUNG NODULE; MEASUREMENT ERROR; PHANTOM; PRIORITY JOURNAL; RADIATION DOSE; THICKNESS; TUMOR VOLUME; VIRTUAL REALITY; ALGORITHM; COMPARATIVE STUDY; IMAGE PROCESSING; IMAGE QUALITY; MULTIPLE PULMONARY NODULES; PROCEDURES; RADIOGRAPHY; REPRODUCIBILITY;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MULTIPLE PULMONARY NODULES; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84901660798     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-014-3142-9     Document Type: Article

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