Title :
Survey: Real-Time Tumor Motion Prediction for Image-Guided Radiation Treatment
Author :
Verma, Poonam S. ; Wu, Huanmei ; Langer, Mark P. ; Das, Indra J. ; Sandison, George
Abstract :
Tumor motion caused by patient breathing creates challenges for accurate radiation dose delivery to a tumor while sparing healthy tissues. Image-guided radiation therapy (IGRT) helps, but there´s a lag time between tumor position acquisition and dose delivered to that position. An efficient and accurate predictive model is thus an essential requirement for IGRT success.
Keywords :
cancer; medical image processing; patient treatment; tumours; IGRT; image-guided radiation treatment; predictive model; radiation dose delivery; real-time tumor motion prediction; tumor position acquisition; Adaptive filters; Artificial neural networks; Biomedical image processing; Kalman filters; Maximum likelihood detection; Nonlinear filters; Predictive models; Tumors; IGRT; Image-guided radiation therapy; predictive models; scientific computing; tumor motion;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2010.99
