An artificial neural network (ANN)-based lung-tumor motion predictor for intrafractional MR tumor tracking

Medical Physics

Volumn 39, Issue 7, 2012, Pages 4423-4433

  Yun, Jihyun ^a,b   MacKenzie, Marc ^b,c   Rathee, Satyapal ^b,c   Robinson, Don ^b,c   Fallone, B G ^a,b,c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b Medical Physics Division   (Canada)

^c CROSS CANCER INSTITUTE   (Canada)

Author keywords

intrafraction motion management; linac MR; lung tumor tracking; motion prediction; MRI guidance

Indexed keywords

BACKPROPAGATION; BIOLOGICAL ORGANS; FORECASTING; MAGNETIC RESONANCE IMAGING; MOTION ESTIMATION; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PATIENT TREATMENT; SHAPE OPTIMIZATION; STRUCTURAL OPTIMIZATION; TUMORS;

ADAPTIVE LEARNING; INTRAFRACTION MOTION; LINAC-MR; LUNG TUMOR; MOTION PREDICTION; PREDICTION ACCURACY; PREDICTION PERFORMANCE; STRUCTURE OPTIMIZATION;

MOTION TRACKING;

EID: 84864187481     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4730294     Document Type: Article

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