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Issue No.05 - September/October (2011 vol.13)
pp: 24-35
Poonam S. Verma , Purdue School of Engineering and Technology Indiana University-Purdue University Indianapolis
Huanmei Wu , Purdue School of Engineering and Technology Indiana University-Purdue University Indianapolis
Mark P. Langer , Indiana University School of Medicine
Indra J. Das , Indiana University School of Medicine
George Sandison , University of Washington Medical Center
ABSTRACT
<p>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.</p>
INDEX TERMS
Image-guided radiation therapy, IGRT, predictive models, tumor motion, scientific computing
CITATION
Poonam S. Verma, Huanmei Wu, Mark P. Langer, Indra J. Das, George Sandison, "Survey: Real-Time Tumor Motion Prediction for Image-Guided Radiation Treatment", Computing in Science & Engineering, vol.13, no. 5, pp. 24-35, September/October 2011, doi:10.1109/MCSE.2010.99
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