Applying a patient-specific bio-mathematical model of glioma growth to develop virtual [18F]-FMISO-PET images

Mathematical Medicine and Biology

Volumn 29, Issue 1, 2012, Pages 31-48

  Gu, Stanley ^a   Chakraborty, Gargi ^a   Champley, Kyle ^b   Alessio, Adam M ^b   Claridge, Jonathan ^a   Rockne, Russell ^a   Muzi, Mark ^b   Krohn, Kenneth A ^b   Spence, Alexander M ^a   Alvord, Ellsworth C ^b   Anderson, Alexander R A ^c   Kinahan, Paul E ^b   Swanson, Kristin R ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^c H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

Author keywords

FMISO PET; GBM; Glioma; Hypoxia; Mathematical modelling; MRI

Indexed keywords

BRAIN; IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; MOLECULAR IMAGING; TUMORS;

BRAIN TISSUE; FLUOROMISONIDAZOLE-POSITRON EMISSION TOMOGRAPHY; GLIOBLASTOMA MULTIFORME; GLIOMA; HYPOXIA; MAGNETIC RESONANCE IMAGE; MATHEMATICAL MODELING; PATIENT SPECIFIC; PRIMARY BRAIN TUMORS; TOMOGRAPHY IMAGING;

POSITRON EMISSION TOMOGRAPHY;

EID: 84858228746     PISSN: 14778599     EISSN: 14778602     Source Type: Journal    
DOI: 10.1093/imammb/dqr002     Document Type: Article

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