Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling

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

Volumn 7512 LNCS, Issue , 2012, Pages 115-122

  Heinrich, Mattias P ^a,b   Jenkinson, Mark ^b   Brady, Sir Michael ^a   Schnabel, Julia A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; CONTRACTS; CONVEX OPTIMIZATION; COST FUNCTIONS; DEFORMATION; DYNAMIC PROGRAMMING; IMAGE REGISTRATION; MEDICAL COMPUTING; MEDICAL IMAGING;

CONTINUOUS OPTIMISATION; CONVEX OPTIMISATION; DEFORMABLE IMAGE REGISTRATION; DEFORMABLE REGISTRATION; DISCRETE OPTIMISATION; MINIMUM SPANNING TREES; REGISTRATION ERROR; REGISTRATION TECHNIQUES;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; LUNG; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

MLCS; MLOWN;

EID: 84872938499     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_15     Document Type: Conference Paper

References (11)

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