Assessment of reliability of multi-site neuroimaging via traveling phantom study

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 263-270

  Gouttard, Sylvain ^a   Styner, Martin ^b,c   Prastawa, Marcel ^a   Piven, Joseph ^c   Gerig, Guido ^a  

^a UNIVERSITY OF UTAH   (United States)

^b University of North Carolina   (United States)

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

Author keywords

[No Author keywords available]

Indexed keywords

DEFORMATION; IMAGE SEGMENTATION; INFORMATION THEORY; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; NEUROIMAGING; PHANTOMS; RELIABILITY ANALYSIS; SCANNING; SOFTWARE RELIABILITY; TISSUE;

ATLAS-BASED SEGMENTATION; AUTOMATIC ANALYSIS; BINARY SEGMENTATION; GEOMETRIC DEFORMATIONS; INFORMATION THEORETIC MEASURE; KULLBACK LEIBLER DIVERGENCE; SUBCORTICAL STRUCTURES; TISSUE SEGMENTATION;

TISSUE ENGINEERING;

ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EQUIPMENT; EQUIPMENT DESIGN; HISTOLOGY; HUMAN; IMAGE QUALITY; INFORMATION RETRIEVAL; INSTRUMENTATION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ANATOMY AND HISTOLOGY; BRAIN; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; INSTRUMENTATION; MAGNETIC RESONANCE IMAGING; METHODS; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

IM; MLCS; MLOWN; NLM;

EID: 58849109857     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_32     Document Type: Conference Paper

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