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Applied biological engineering : principles and practice by edited by Ganesh R. Naik.

By edited by Ganesh R. Naik.

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90–97. arnumber=1330842 2 Computer Simulation and Analysis of Three-Dimensional Tumor Geometry in Radiotherapy Seishin Takao, Shigeru Tadano, Hiroshi Taguchi and Hiroki Shirato Hokkaido University Japan 1. Introduction Radiotherapy plays an important role in the treatment for patients with solid tumors. Recently, the advantages in high-precision radiotherapy enable focusing of higher radiation energy (dose) to the tumor region while minimizing unwanted radiation exposure to surrounding normal tissue to avoid radiation injury.

Withers, P. (1997). Predicting body cell mass with bioimpedance by using theoretical methods: a technological review, Journal of Applied Physiology 82(5): 1542–1558. abstract Fuoss, R. M. & Kirkwood, J. G. (1941). Electrical properties of solids. viii. dipole moments in polyvinyl chloride-diphenyl systems*, Journal of the American Chemical Society 63(2): 385–394. 1021/ja01847a013 Efficient Computational Techniques in Bioimpedance Spectroscopy Efficient Computational Techniques in Bioimpedance Spectroscopy 27 25 Gorban, A.

It was revealed that tumors shrunk uniformly keeping their initial morphological features during radiotherapy. This finding cannot be obtained from traditional evaluation by measuring diameters of the tumors on CT images. This study also proposed a novel simulation method to predict changes in 3D tumor geometries during radiotherapy considering intratumoral heterogeneity of radiosensitivity. The simulation results were found to conform to actual changes in tumor geometry. Although some difficulties still remain to be solved, tumor geometries could be predicted using our approach.

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