Online 4-D CT estimation for patient-specific respiratory motion based on real-time breathing signals

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 392-399

  He, Tiancheng ^a,b   Xue, Zhong ^a   Xie, Weixin ^b   Wong, Stephen T C ^a  

^a HOUSTON METHODIST HOSPITAL   (United States)

^b SHENZHEN UNIVERSITY   (China)

Author keywords

4 D CT; Image guided intervention; K PCA; least squares support vector machine; respiratory motion

Indexed keywords

4-D CT; IMAGE-GUIDED INTERVENTION; K-PCA; LEAST SQUARES SUPPORT VECTOR MACHINES; RESPIRATORY MOTIONS;

BIOLOGICAL ORGANS; ESTIMATION; MEDICAL COMPUTING; MEDICAL IMAGING; MOTION COMPENSATION; MOTION ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; RESPIRATORY MECHANICS; SUPPORT VECTOR MACHINES; TIME AND MOTION STUDY; TRACKING (POSITION); VECTOR SPACES; VECTORS;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; ARTIFACT; BREATHING MECHANICS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; LUNG; METHODOLOGY; MOTION; ONLINE SYSTEM; PHYSIOLOGY; RADIOGRAPHY; REPRODUCIBILITY; RESPIRATORY GATED IMAGING; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ARTIFACTS; HUMANS; IMAGING, THREE-DIMENSIONAL; LUNG; MOTION; ONLINE SYSTEMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; RESPIRATORY MECHANICS; RESPIRATORY-GATED IMAGING TECHNIQUES; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84859887657     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_49     Document Type: Conference Paper

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