A personalized biomechanical model for respiratory motion prediction

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

Volumn 7512 LNCS, Issue , 2012, Pages 566-573

  Fuerst, B ^a,b   Mansi, T ^a   Zhang, Jianwen ^a   Khurd, P ^a   Declerck, J ^c   Boettger, T ^c   Navab, Nassir ^b   Bayouth, J ^d   Comaniciu, Dorin ^a   Kamen, A ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c SIEMENS AG   (Germany)

^d UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC PRODUCTS; DIAPHRAGMS; FORECASTING; IMAGE RECONSTRUCTION; LEARNING ALGORITHMS; MACHINE LEARNING; MEDICAL COMPUTING; MEDICAL IMAGING; ONE DIMENSIONAL; RESPIRATORY MECHANICS;

BIO-MECHANICAL MODELS; PATIENT-SPECIFIC FINITE ELEMENT MODELS; PERSONALIZATION STRATEGIES; RESPIRATORY MOTION PREDICTION; RESPIRATORY MOTIONS; RESPIRATORY SURROGATES; TIME RESOLVED IMAGING; TRUST-REGION APPROACH;

MOTION ESTIMATION;

ARTICLE; ARTIFACT; BIOLOGICAL MODEL; BREATHING MECHANICS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; LUNG; METHODOLOGY; MOTION; PHYSIOLOGY; RADIOGRAPHY; REPRODUCIBILITY; RESPIRATORY GATED IMAGING; SENSITIVITY AND SPECIFICITY;

ARTIFACTS; COMPUTER SIMULATION; HUMANS; LUNG; MODELS, BIOLOGICAL; MOTION; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; RESPIRATORY MECHANICS; RESPIRATORY-GATED IMAGING TECHNIQUES; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84872933438     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_70     Document Type: Conference Paper

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