4D Visible Human Modeling for Radiation Dosimetry We propose a multidisciplinary research to solve problems associated with patient respiratory motions during radiation therapy by further extending the Visible Human image dataset into the 4th dimension (4D) with motion-simulating capabilities. Radiation therapy is one of the most effective methods of cancer management. In external beam radiation treatment, a lethal radiation dose is delivered through precisely conformed external radiation to the tumor while sparing the adjacent healthy tissues. However, the current paradigm is based on an assumption that both the tumor location and shape are known and remain unchanged during the course of radiation delivery. Such a favorable rigid-body relationship does not exist in anatomical sites such as the thoracic cavity and the abdomen, owing predominantly to respiratory motions. Consequently, the radiation oncologists currently have to use less aggressive treatment strategies with a large dose margin to tolerate potential targeting errors. We propose to develop physics-based, motion-simulating virtual human models that will provide a unique insight into the management of respiratory motion during radiation treatment, thus allowing for more aggressive and effective targeting and radiation delivery. A multidisciplinary research team with collective expertise in radiation dosimetry, biomechanical modeling and clinical radiation oncology is assembled to achieve the following Specific Aims: 1) To combine the 3D adult male anatomical model developed from high-resolution VHP cryosection image data with physics-based tissue deformation models to simulate respiratory motions. 2.)To apply this first physics-based, 4D motion-simulating virtual-human to the study of complex radiation interactions in tissues and dose distribution patterns for various radiation delivery strategies using advanced Monte Carlo simulations, 3).To critically evaluate the degrees to which the more realistic representations of internal organs will improve the planned and delivered treatment doses. 4).To establish an internet-based information-sharing resource on virtual-human motion simulation and radiation dosimetry.

National Institute of Health (NIH)
National Library of Medicine (NLM)
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Biomedical Library and Informatics Review Committee (BLR)
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Sim, Hua-Chuan
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Rensselaer Polytechnic Institute
Engineering (All Types)
Schools of Engineering
United States
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Ding, Aiping; Gao, Yiming; Liu, Haikuan et al. (2015) VirtualDose: a software for reporting organ doses from CT for adult and pediatric patients. Phys Med Biol 60:5601-25
Xu, X George (2014) An exponential growth of computational phantom research in radiation protection, imaging, and radiotherapy: a review of the fifty-year history. Phys Med Biol 59:R233-302
Ding, Aiping; Mille, Matthew M; Liu, Tianyu et al. (2012) Extension of RPI-adult male and female computational phantoms to obese patients and a Monte Carlo study of the effect on CT imaging dose. Phys Med Biol 57:2441-59
Guo, Bingqi; Xu, X George; Shi, Chengyu (2011) Real time 4D IMRT treatment planning based on a dynamic virtual patient model: proof of concept. Med Phys 38:2639-50
Eom, Jaesung; Xu, Xie George; De, Suvranu et al. (2010) Predictive modeling of lung motion over the entire respiratory cycle using measured pressure-volume data, 4DCT images, and finite-element analysis. Med Phys 37:4389-400
Roland, T; Shi, C; Liu, Y et al. (2010) Tradeoffs for assuming rigid target motion in Mlc-based real time target tracking radiotherapy: a dosimetric and radiobiological analysis. Technol Cancer Res Treat 9:199-210
Na, Yong Hum; Zhang, Binquan; Zhang, Juying et al. (2010) Deformable adult human phantoms for radiation protection dosimetry: anthropometric data representing size distributions of adult worker populations and software algorithms. Phys Med Biol 55:3789-811
Mille, Matthew M; Xu, X George; Rivard, Mark J (2010) Comparison of organ doses for patients undergoing balloon brachytherapy of the breast with HDR 192Ir or electronic sources using monte carlo simulations in a heterogeneous human phantom. Med Phys 37:662-71
Roland, Teboh; Mavroidis, Panayiotis; Shi, Chengyu et al. (2010) Incorporating system latency associated with real-time target tracking radiotherapy in the dose prediction step. Phys Med Biol 55:2651-68
Su, Fan-Chi; Mavroidis, Panayiotis; Shi, Chengyu et al. (2010) A graphic user interface toolkit for specification, report and comparison of dose-response relations and treatment plans using the biologically effective uniform dose. Comput Methods Programs Biomed 100:69-78

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