Quantification of white matter and gray matter volumes from T1 parametric images using fuzzy classifiers

Journal of Magnetic Resonance Imaging

Volumn 6, Issue 3, 1996, Pages 425-435

  Herndon, R Craig ^a   Lancaster, Jack L ^a   Toga, Arthur W ^b   Fox, Peter T ^a  

^a UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Brain, MR; Image processing; Volume measurement

Indexed keywords

ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; BRAIN; EXPERT SYSTEM; FUZZY LOGIC; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; INSTRUMENTATION; MYELINATED NERVE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REFERENCE VALUE; REPRODUCIBILITY;

ARTIFACTS; ARTIFICIAL INTELLIGENCE; BRAIN; EXPERT SYSTEMS; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NERVE FIBERS, MYELINATED; PHANTOMS, IMAGING; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS;

EID: 0030139703     PISSN: 10531807     EISSN: None     Source Type: Journal    
DOI: 10.1002/jmri.1880060303     Document Type: Article

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