The comparative performance of four respiratory motion predictors for real-time tumour tracking

Physics in Medicine and Biology

Volumn 56, Issue 16, 2011, Pages 5303-5317

  Krauss, A ^a   Nill, S ^a   Oelfke, U ^a  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D MOTION; ADEQUATE MODELS; GRID SEARCH; KERNEL DENSITY ESTIMATION; MODEL PARAMETER OPTIMIZATION; MODEL PARAMETER TUNING; MODEL PARAMETERS; MOTION PROCESSING; PREDICTION ERRORS; PREDICTION MODEL; RADIOTHERAPY TREATMENT; REAL TIME TRACKING; RELATIVE IMPORTANCE; RESPIRATORY MOTION PREDICTION; RESPIRATORY MOTIONS; ROOT-MEAN-SQUARED; SAMPLING RATES; SUPPORT VECTOR REGRESSIONS; SYSTEM LATENCY; TRAINING SCHEMES;

BIOLOGICAL ORGANS; DATA HANDLING; ERRORS; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; RADIOTHERAPY; RESPIRATORY MECHANICS; TUMORS;

THREE DIMENSIONAL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREATHING; COMPARATIVE STUDY; HUMAN; LUNG TUMOR; MOVEMENT (PHYSIOLOGY); PATHOPHYSIOLOGY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; TIME;

HUMANS; IMAGING, THREE-DIMENSIONAL; LINEAR MODELS; LUNG NEOPLASMS; MOVEMENT; NEURAL NETWORKS (COMPUTER); RESPIRATION; TIME FACTORS;

EID: 79961090800     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/56/16/015     Document Type: Article

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