Automated planning of scan geometries in spine MRI scans

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 601-608

  Pekar, Vladimir ^a,d   Bystrov, Daniel ^a   Heese, Harald S ^a   Dries, Sebastian P M ^a   Schmidt, Stefan ^a,b   Grewer, Rüdiger ^a   Den Harder, Chiel J ^c   Bergmans, René C ^c   Simonetti, Arjan W ^c   Van Muiswinkel, Arianne M ^c  

^a PHILIPS RESEARCH LABORATORIES   (Germany)

^b UNIVERSITY OF MANNHEIM   (Germany)

^c PHILIPS HEALTHCARE   (United States)

^d Philips Medical Systems   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE QUALITY; IMAGE RECOGNITION; MEDICAL IMAGING; ROBUSTNESS (CONTROL SYSTEMS);

AUTOMATED SCAN PLANNING (ASP); GEOMETRY PLANNING;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINE; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINE; SUBTRACTION TECHNIQUE;

EID: 79551685976     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_73     Document Type: Conference Paper

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