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Implementation of a Monte Carlo base...

He, Tongming Tony.

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Implementation of a Monte Carlo based inverse planning model for clinical IMRT with MCNP code.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Implementation of a Monte Carlo based inverse planning model for clinical IMRT with MCNP code./
Author:	He, Tongming Tony.
Description:	155 p.
Notes:	Source: Dissertation Abstracts International, Volume: 63-11, Section: B, page: 5314.
Contained By:	Dissertation Abstracts International63-11B.
Subject:	Nuclear physics and radiation. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3071789
ISBN:	9780493914138

Implementation of a Monte Carlo based inverse planning model for clinical IMRT with MCNP code.
He, Tongming Tony.

Implementation of a Monte Carlo based inverse planning model for clinical IMRT with MCNP code. - 155 p.

Source: Dissertation Abstracts International, Volume: 63-11, Section: B, page: 5314.

Thesis (Ph.D.)--Wayne State University, 2002.

In IMRT inverse planning, inaccurate dose calculations and limitations in optimization algorithms introduce both systematic and convergence errors to treatment plans. The goal of this work is to practically implement a Monte Carlo based inverse planning model for clinical IMRT. The intention is to minimize both types of error in inverse planning and obtain treatment plans with better clinical accuracy than non-Monte Carlo based systems. The strategy is to calculate the dose matrices of small beamlets by using a Monte Carlo based method. Optimization of beamlet intensities is followed based on the calculated dose data using an optimization algorithm that is capable of escape from local minima and prevents possible pre-mature convergence. The MCNP 4B Monte Carlo code is improved to perform fast particle transport and dose tallying in lattice cells by adopting a selective transport and tallying algorithm. Efficient dose matrix calculation for small beamlets is made possible by adopting a scheme that allows concurrent calculation of multiple beamlets of single port. A finite-sized point source (FSPS) beam model is introduced for easy and accurate beam modeling. A DVH based objective function and a parallel platform based algorithm are developed for the optimization of intensities. The calculation accuracy of improved MCNP code and FSPS beam model is validated by dose measurements in phantoms. Agreements better than 1.5% or 0.2 cm have been achieved. Applications of the implemented model to clinical cases of brain, head/neck, lung, spine, pancreas and prostate have demonstrated the feasibility and capability of Monte Carlo based inverse planning for clinical IMRT. Dose distributions of selected treatment plans from a commercial non-Monte Carlo based system are evaluated in comparison with Monte Carlo based calculations. Systematic errors of up to 12% in tumor doses and up to 17% in critical structure doses have been observed. The clinical importance of Monte Carlo based inverse planning for IMRT has been demonstrated. The effects of voxel size on dose estimation accuracy and the limitation of time reduction using PC-based parallel computation are also investigated.

ISBN: 9780493914138Subjects--Topical Terms:

3173793
Nuclear physics and radiation.

Implementation of a Monte Carlo based inverse planning model for clinical IMRT with MCNP code.
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502 $a Thesis (Ph.D.)--Wayne State University, 2002.
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