A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging

EJNMMI Research

Volumn 3, Issue 1, 2013, Pages

  Bagci, Ulas ^a   Foster, Brent ^a   Miller Jaster, Kirsten ^a   Luna, Brian ^b   Dey, Bappaditya ^b   Bishai, William R ^b,c,d   Jonsson, Colleen B ^e,f   Jain, Sanjay ^b   Mollura, Daniel J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c AFRICA HEALTH RESEARCH INSTITUTE   (South Africa)

^d HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^e University of Louisville School of Medicine   (United States)

^f UNIVERSITY OF LOUISVILLE   (United States)

Author keywords

H1N1; Image segmentation; PET CT; Pulmonary infections; Quantitative analysis; Small animal models; Tuberculosis

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

ALGORITHM; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; AUTOMATION; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE COURSE; DISEASE SEVERITY; FEASIBILITY STUDY; FEMALE; FERRET; FUNCTIONAL ASSESSMENT; IMAGE ANALYSIS; IMAGE QUALITY; INFLUENZA A (H1N1); INTERMETHOD COMPARISON; LONGITUDINAL STUDY; LUNG INFECTION; LUNG STRUCTURE; MATHEMATICAL ANALYSIS; MOUSE; NONHUMAN; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; RABBIT; RELIABILITY; STRUCTURE ANALYSIS; TUBERCULOSIS;

EID: 84881257487     PISSN: None     EISSN: 2191219X     Source Type: Journal    
DOI: 10.1186/2191-219X-3-55     Document Type: Article

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