Registration of longitudinal image sequences with implicit template and spatial-temporal heuristics

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 618-625

  Wu, Guorong ^a   Wang, Qian ^a,b   Jia, Hongjun ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b University of North Carolina   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURATE MEASUREMENT; ANATOMICAL CHANGES; ANATOMICAL STRUCTURES; BRAIN DISEASE; CLINICAL STUDY; EXPECTATION-MAXIMIZATION APPROACHES; FIBER BUNDLES; HIDDEN STATE; IMAGE DATA; IMAGE SEQUENCE; LONGITUDINAL DATA; MAXIMUM A POSTERIORS; POPULATION DATA; PROBABILISTIC MODELS; SPATIAL SMOOTHNESS; SPATIAL TEMPORALS; SPATIAL-TEMPORAL BEHAVIOR; TEMPORAL CONTINUITY; TIME POINTS;

BEHAVIORAL RESEARCH; IMAGE PROCESSING; MEDICAL COMPUTING; POPULATION STATISTICS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; LONGITUDINAL STUDY; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 79956212443     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_76     Document Type: Conference Paper

References (9)

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