Weight preserving image registration for monitoring disease progression in lung CT

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 863-870

  Gorbunova, Vladlena ^a   Lo, Pechin ^a   Ashraf, Haseem ^d   Dirksen, Asger ^d   Nielsen, Mads ^a,c   De Bruijne, Marleen ^a,b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b ERASMUS MEDICAL CENTER   (Netherlands)

^c NORDIC BIOSCIENCE A S   (Denmark)

^d GENTOFTE UNIVERSITY HOSPITAL   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; IMAGE REGISTRATION; MEDICAL COMPUTING; MEDICAL IMAGING; TISSUE;

BASELINE IMAGES; DISEASE PROGRESSION; IMAGE REGISTRATION TECHNIQUES; IMAGE STUDY; LOCAL EXPANSION; LOCAL LOSS; LUNG TISSUE; QUANTITATIVE CT;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; DISEASE COURSE; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; LUNG; METHODOLOGY; RADIOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DISEASE PROGRESSION; HUMANS; LUNG; PATTERN RECOGNITION, AUTOMATED; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 58849098048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_104     Document Type: Conference Paper

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