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Mixed Integer Programming Approach In Radiation Treatment Planning


Mixed Integer Programming Approach In Radiation Treatment Planning
Authors : S. P. Kishore, N. V. S. L. Narasimham
Publication Date: 29-05-2013

Authors

Author(s):  S. P. Kishore, N. V. S. L. Narasimham

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 6 (June - 2013)

e-ISSN:   2278-0181

Abstract

Radiation is one of the most common treatments for cancer. It is often a part of the main treatment for specific types of cancer, such as, lung, head and neck, Hodgkin disease. Radiation can sometimes be used with the treatments, such as chemotherapy or surgery. We present mixed integer programming model of inverse planning for IMRT. The challenge in therapy planning is to determine a treatment plan which would involve finding irradiation directions, beam parameters and optimize intensity profiles. Radiation uses specific equipment to deliver lethal doses of radiation to the cancer cells. In the process of radiation, normal cells do get affected, but most of them fully recover in due course of time and go back to the working way. IMRT uses computer-generated images to plan and then deliver even more tightly focused radiation beams to cancerous tumors than is possible with conventional radiotherapy. Inverse planning in radiation therapy is a trial and error method with an ability to improve the outcomes of treatment to cancer patients. The aim of optimization technique is to deliver a dose of radiation to the cancer cells as possible, with minimal damage to the surrounding vulnerable normal tissues. The proposed model has an advantage over the existing models and an attempt has been made to improve the quality of the treatment plan within a realistic time frame.

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