Automated computer quantification of breast cancer in small-animal models using PET-guided MR image co-segmentation

EJNMMI Research

Volumn 3, Issue 1, 2013, Pages 1-13

  Bagci, Ulas ^a   Kramer Marek, Gabriela ^b   Mollura, Daniel J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b INSTITUTE OF CANCER RESEARCH   (United Kingdom)

Author keywords

Breast cancer; Co segmentation; Computer quantification; FDG PET; Image segmentation; MRI PET; Random walk; Small animal models; Volume quantification

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2; EPIDERMAL GROWTH FACTOR RECEPTOR 2 F 18; FLUORODEOXYGLUCOSE F 18; TRACER; UNCLASSIFIED DRUG;

ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; AUTOMATION; BREAST CANCER; CANCER CELL; COMPARATIVE STUDY; COMPUTER ASSISTED EMISSION TOMOGRAPHY; COMPUTER PROGRAM; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IMAGE QUALITY; INFORMATION PROCESSING; LABORATORY DIAGNOSIS; LIMIT OF QUANTITATION; MOUSE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; TUMOR VOLUME;

EID: 84881243917     PISSN: None     EISSN: 2191219X     Source Type: Journal    
DOI: 10.1186/2191-219X-3-49     Document Type: Article

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