Incorporating patient breathing variability into a stochastic model of dose deposition for stereotactic body radiation therapy

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

Volumn 5636 LNCS, Issue , 2009, Pages 688-700

  Geneser, Sarah E ^a   Kirby, Robert M ^a   Wang, Brian ^b   Salter, Bill ^b   Joshi, Sarang ^a  

^a UNIVERSITY OF UTAH   (United States)

^b UNIVERSITY OF UTAH   (United States)

Author keywords

Polynomial chaos; Respiratory induced organ motion; Stereotactic body radiation therapy; Stochastic collocation; Stochastic dose deposition modeling

Indexed keywords

POLYNOMIAL CHAOS; RESPIRATORY-INDUCED ORGAN MOTION; STEREOTACTIC BODY RADIATION THERAPY; STOCHASTIC COLLOCATION; STOCHASTIC DOSE DEPOSITION MODELING;

DATA PROCESSING; DEPOSITION; MEDICAL IMAGING; PROBABILITY; RADIOTHERAPY;

STOCHASTIC MODELS;

ALGORITHM; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; BREATHING MECHANICS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED SURGERY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; GATED IMAGING; HUMAN; IMAGE QUALITY; METHODOLOGY; RADIOSURGERY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; COMPUTER SIMULATION; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOSURGERY; REPRODUCIBILITY OF RESULTS; RESPIRATORY MECHANICS; RESPIRATORY-GATED IMAGING TECHNIQUES; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 70349304110     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_57     Document Type: Conference Paper

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