Localized priors for the precise segmentation of individual vertebras from CT volume data

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 367-375

  Shen, Hong ^a   Litvin, Andrew ^b   Alvino, Christopher ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b ANALOGIC CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX STRUCTURE; CT VOLUME; HIGH-LEVEL FEATURES; LEVEL SET; LOCAL MINIMA PROBLEMS; LOCAL MINIMUM PROBLEM; LOCAL SURFACES; OBJECT BOUNDARIES; PRIOR KNOWLEDGE; SHAPE PRIORS; SURFACE MODELS; VALIDATION RESULTS;

COMPUTER SCIENCE; KNOWLEDGE BASED SYSTEMS;

MEDICAL COMPUTING;

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

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

EID: 58849098172     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_44     Document Type: Conference Paper

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