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Practical Approaches for 4-D Imaging and Planning
Program Code:
PAN11
Date:
Tuesday, September 23, 2008
SPEAKER(S):
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about each speaker.
Steve Jiang, Associate Professor,
University of California San Diego
I have been working in the field of Image Guided Radiation Therapy since 2001. I have given about 50 invited talks and published about 30 peer reviewed papers in this field.
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Paul Keall, Ph.D., Associate Professor, Stanford University
Daniel Low, Professor, Washington University
I have implemented motion management for lung and abdomen patients in our clinic, and have $1.2 million in research funding on 4DCT, electromagnetic tracking and intrafraction motion management.
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Mihaela Rosu, Assistant Professor,
Virginia Commonwealth University
"Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications", Rosu M, Chetty IJ, Balter JM, Kessler M, McShan DL, Ten Haken RK. Med Phys 32:2487-2495, 2005.
"How extensive of a 4D dataset is needed to estimate cumulative dose distribution plan evaluation metrics in conformal lung therapy?" Rosu M, Balter JM, Chetty IJ, Kessler ML, McShan DL, Balter P, Ten Haken RK. Med Phys 34:233-245, 2007.
"The impact of breathing motion vs. heterogeneity effects in lung cancer conformal treatment planning" Rosu M, Chetty IJ, Tatro DS, Ten Haken RK. Med Phys 34:1462-1473, 2007.
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My general interest is imaging in radiotherapy, and specifically the use of imaging to improve the precision of radiotherapy. My career started out with the development of imaging detectors for radiotherapy verification. Soon after, image processing and in particular image registration became the focus of my research. Because of my connection to the AMC (I work there one day a week), the application of imaging tools in radiology is also included. Image guided radiotherapy is the modern name of my activities. The combination of image processing and image registration has allowed us to develop advanced image guidance solutions that are also implemented by industry. Because imaging is used to measure and improve the precision of irradiation, also statistical aspects of patient motion and deformation and the safety margin needed to cover these have my interest. The latest development is research into radiotherapy planning systems that work without margins but directly utilize knowledge of geometrical uncertainties in combination with biological models.
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LEARNER OUTCOMES:
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Discuss the tradeoffs involved in the various 4-D implementations.
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Explain the 4-D imaging and treatment planning process.
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Summarize the various 4-D approaches and the resources necessary for 4-D imaging and planning.