Cross-modality assessment and planning for pulmonary trunk treatment using CT and MRI imaging

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 460-467

  Vitanovski, Dime ^a,b   Tsymbal, Alexey ^a   Ionasec, Razvan Ioan ^a   Georgescu, Bogdan ^a   Huber, Martin ^a   Taylor, Andrew ^c   Schievano, Silvia ^c   Zhou, Shaohua Kevin ^a   Hornegger, Joachim ^b   Comaniciu, Dorin ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^c GREAT ORMOND STREET HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ASSESSMENT TOOL; AVERAGE SPEED; CARDIAC CT; CARDIAC CYCLES; CARDIAC MAGNETIC RESONANCE IMAGING; CARDIAC-COMPUTED TOMOGRAPHY; CLINICAL MANAGEMENT; CLINICAL SETTINGS; COMPLEMENTARY PROPERTY; CONGENITAL HEART DEFECTS; CROSS MODALITY; END-DIASTOLIC; HIERARCHICAL LEARNING; HIGH TEMPORAL RESOLUTION; INTERVENTIONAL TREATMENT; INVASIVE METHODS; NON-INVASIVE; NON-INVASIVE IMAGING; RIGHT VENTRICLE; TEMPORAL INFORMATION; THERAPY PLANNING;

HEART; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING; RESONANCE; THREE DIMENSIONAL; TOOLS;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONGENITAL HEART MALFORMATION; CONGENITAL MALFORMATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PULMONARY ARTERY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HEART DEFECTS, CONGENITAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; PULMONARY ARTERY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84860777166     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_56     Document Type: Conference Paper

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