Automatic point landmark matching for regularizing nonlinear intensity registration: Application to thoracic CT images

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

Volumn 4191 LNCS - II, Issue , 2006, Pages 710-717

  Urschler, Martin ^a   Zach, Christopher ^b   Ditt, Hendrik ^c   Bischof, Horst ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b VRVIS RESEARCH CENTER   (Austria)

^c SIEMENS AG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; INTERPOLATION; MEDICAL IMAGING; NONLINEAR SYSTEMS; SPLINES;

BREATHING STATES; INTRA-MODALITY INTENSITY DATA; LANDMARK-BASED METHODS; THIN-PLATE SPLINE (TPS);

PATTERN MATCHING;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREATHING MECHANICS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; EVALUATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; MATHEMATICAL COMPUTING; METHODOLOGY; NONLINEAR SYSTEM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; HUMANS; NONLINEAR DYNAMICS; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; RESPIRATORY MECHANICS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 33750268903     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866763_87     Document Type: Conference Paper

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