A knowledge-based approach to soft tissue reconstruction of the cervical spine

IEEE Transactions on Medical Imaging

Volumn 28, Issue 4, 2009, Pages 494-507

  Seifert, Sascha ^a,b   Wächter, Irina ^c   Schmelzle, Gottfried ^d   Dillmann, Rüdiger ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^b SIEMENS AG   (Germany)

^c PHILIPS RESEARCH LABORATORIES   (Germany)

^d 1 and 1 Internet AG   (Germany)

Author keywords

Automatic segmentation; Cervical soft tissue; Generalized segmentation workflow; Muscle reconstruction; Object recognition

Indexed keywords

ANATOMICAL STRUCTURES; AUTOMATIC RECONSTRUCTION; AUTOMATIC SEGMENTATION; BIOMECHANICAL SIMULATIONS; CERVICAL SOFT TISSUE; CERVICAL SPINES; COMPUTATION TIME; FULL BODIES; GENERALIZED SEGMENTATION WORKFLOW; HUMAN BODIES; INTERVERTEBRAL DISCS; KNOWLEDGE-BASED APPROACHES; MUSCLE RECONSTRUCTION; SEED POINTS; SEGMENTATION RESULTS; SPINAL CORDS; SPINE SURGERIES; SURGICAL PLANNING; TOMOGRAPHIC DATUM;

BIOMECHANICS; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS; MANAGEMENT; OBJECT RECOGNITION; RESTORATION; TRANSPLANTATION (SURGICAL);

MUSCLE;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CERVICAL SPINE; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE PROCESSING; INTERVERTEBRAL DISK; METHODOLOGY; NECK; NECK MUSCLE; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; TIME;

ALGORITHMS; CERVICAL VERTEBRAE; CLUSTER ANALYSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERVERTEBRAL DISK; MAGNETIC RESONANCE IMAGING; NECK; NECK MUSCLES; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; TIME FACTORS;

EID: 63849105521     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.2004659     Document Type: Article

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