Atlas-based improved prediction of magnetic field inhomogeneity for distortion correction of EPI data

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 951-959

  Poynton, Clare ^a   Jenkinson, Mark ^b   Wells III, William ^a,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATLAS-BASED SEGMENTATION; CT DATA; DISTORTION CORRECTION; FIELD MODEL; MAGNETIC FIELD INHOMOGENEITIES; PLANAR IMAGES; SOFT TISSUE; SUBJECT-SPECIFIC;

COMPUTERIZED TOMOGRAPHY; MAGNETIC FIELDS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFACT; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; ELECTRON SPIN RESONANCE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; BRAIN; ELECTRON SPIN RESONANCE SPECTROSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883838699     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_115     Document Type: Conference Paper

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