Automatic determination of arterial input function for dynamic contrast enhanced MRI in tumor assessment

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 594-601

  Chen, Jeremy ^a   Yao, Jianhua ^a   Thomasson, David ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

AIF; DCE MRI; Tumor imaging

Indexed keywords

AIF; ARTERIAL INPUT FUNCTION; AUTOMATIC DETERMINATION; BODY PARTS; DCE-MRI; DYNAMIC CONTRAST ENHANCED MRI; PHARMACOKINETIC MODEL; PHARMACOKINETIC PARAMETERS; TEMPORAL PROPERTY; TUMOR IMAGING; TWO STAGE; VERSATILE METHODS;

COMPUTER SCIENCE; PHARMACOKINETICS; TUMORS;

MEDICAL COMPUTING;

CONTRAST MEDIUM;

ALGORITHM; ARTERY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; METABOLISM; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTERIES; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; COMPUTER SIMULATION; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79551682258     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_71     Document Type: Conference Paper

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