A state-based probabilistic model for tumor respiratory motion prediction

Physics in Medicine and Biology

Volumn 55, Issue 24, 2010, Pages 7615-7631

  Kalet, Alan ^a   Sandison, George ^a   Wu, Huanmei ^b   Schmitz, Ruth ^a  

^a UNIVERSITY OF WASHINGTON MEDICAL CENTER   (United States)

^b Indiana University Purdue University Indianapolis   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREATHING MOTIONS; BREATHING STATE; BROKEN DOWN; DUTY CYCLES; FINITE-STATE REPRESENTATIONS; HMM ALGORITHM; K-MEANS CLUSTERING ALGORITHM; LUNG CANCER; NATURAL BREATHING; POSITIONAL PREDICTION; PREDICTION METHODS; PREDICTIVE MODELS; PREDICTIVE POWER; PROBABILISTIC MODELS; RADIATION THERAPY; RESPIRATORY MOTION PREDICTION; RMS ERRORS; STATE SEQUENCES; STATE-BASED; SYSTEM DELAY; SYSTEM LATENCY; THEORETICAL LIMITS; TIME AVERAGES; TUMOR MOTION;

CLUSTERING ALGORITHMS; ERRORS; HIDDEN MARKOV MODELS; MATHEMATICAL MODELS; RADIOTHERAPY; RESPIRATORY MECHANICS; TUMORS;

FORECASTING;

ALGORITHM; ARTICLE; BREATHING; HUMAN; KINETICS; MOVEMENT (PHYSIOLOGY); NEOPLASM; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; HUMANS; KINETICS; LINEAR MODELS; MARKOV CHAINS; MODELS, STATISTICAL; MOVEMENT; NEOPLASMS; RESPIRATION;

EID: 78650042812     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/55/24/015     Document Type: Article

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