On using an adaptive neural network to predict lung tumor motion during respiration for radiotherapy applications

Medical Physics

Volumn 32, Issue 12, 2005, Pages 3801-3809

  Isaksson, Marcus ^a   Jalden, Joakim ^a   Murphy, Martin J ^b  

^a Stanford University   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; BIOLOGICAL ORGANS; BIOMEDICAL SIGNAL PROCESSING; DISEASES; FORECASTING; MOTION TRACKING; RADIOTHERAPY; TUMORS;

ADAPTIVE NEURAL NETWORKS; ADAPTIVE SIGNAL PROCESSING; ANATOMICAL ELEMENTS; BREATHING PATTERNS; NEURAL NETWORK FILTERS; NON-STATIONARY CONDITION; PANCREATIC CANCERS; RADIOTHERAPY APPLICATIONS;

FEEDFORWARD NEURAL NETWORKS;

ACCURACY; ARTICLE; BREATHING; CANCER PATIENT; FILTER; FLUOROSCOPY; HUMAN; LUNG CANCER; LUNG TUMOR; MOTION; NERVE CELL NETWORK; PANCREAS CANCER; PRIORITY JOURNAL; RADIATION BEAM; SIGNAL PROCESSING; TECHNIQUE; ARTIFICIAL NEURAL NETWORK; BIOPHYSICS; COMPUTER ASSISTED RADIOTHERAPY; MOVEMENT (PHYSIOLOGY); PANCREAS TUMOR; RADIOSURGERY; STATISTICS;

BIOPHYSICS; HUMANS; LUNG NEOPLASMS; MOVEMENT; NEURAL NETWORKS (COMPUTER); PANCREATIC NEOPLASMS; RADIOSURGERY; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RESPIRATION;

EID: 33645015361     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2134958     Document Type: Article

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