Evaluation of a compartmental model for estimating tumor hypoxia via FMISO dynamic PET imaging

Physics in Medicine and Biology

Volumn 54, Issue 10, 2009, Pages 3083-3099

  Wang, Wenli ^a   Georgi, Jens Christoph ^b   Nehmeh, Sadek A ^a   Narayanan, Manoj ^c   Paulus, Timo ^b   Bal, Matthieu ^d   O'Donoghue, Joseph ^a   Zanzonico, Pat B ^a   Schmidtlein, C Ross ^a   Lee, Nancy Y ^a   Humm, John L ^a  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

^b PHILIPS RESEARCH LABORATORIES   (Germany)

^c PHILIPS RESEARCH LABORATORIES   (Netherlands)

^d PHILIPS HEALTHCARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTERIAL INPUT FUNCTION; AVERAGING TECHNIQUE; COMPARTMENTAL MODEL; DATA SETS; DYNAMIC PET; HEAD-AND-NECK CANCER; IMAGE-BASED; INPUT FUNCTIONS; KINETIC ANALYSIS; MATHEMATICAL PHANTOMS; MODEL-BASED; PEAK AMPLITUDE; PET DATA; REGION OF INTEREST; STATISTICAL ACCURACY; STATISTICAL NOISE; TIME-ACTIVITY CURVES; TUMOR HYPOXIA; TYPICAL VALUES;

COVARIANCE MATRIX; KINETIC PARAMETERS; MILITARY PHOTOGRAPHY; POSITRON EMISSION TOMOGRAPHY; TUMORS;

PARAMETER ESTIMATION;

1 FLUORO 3 (2 NITRO 1 IMIDAZOLYL) 2 PROPANOL F 18; 1 FLUORO 3 (2 NITRO 1 IMIDAZOLYL) 2 PROPANOL; DIAGNOSTIC AGENT; DRUG DERIVATIVE; MISONIDAZOLE; OXYGEN; RADIOPHARMACEUTICAL AGENT;

ARTICLE; COMPARTMENT MODEL; HEAD AND NECK CANCER; HUMAN; IMAGE ANALYSIS; KINETICS; MATHEMATICAL PARAMETERS; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; ALGORITHM; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; METABOLISM; METHODOLOGY; NEOPLASM; OXYGEN CONSUMPTION; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MISONIDAZOLE; MODELS, BIOLOGICAL; NEOPLASMS; OXYGEN; OXYGEN CONSUMPTION; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 67650763249     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/54/10/008     Document Type: Article

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