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Ionizing radiation for cancer treatment also known as radiotherapy has undergone development for more than century. Radiation kills cancer by giving partially or entirely all of the energy to the tumour tissue, especially in the DNA. If a tumour or a cancer is irradiated by radiotherapy, there is no...

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Main Author: ARIEF NARENDRA (NIM : 10213023), HASTO
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/22401
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:22401
spelling id-itb.:224012017-09-27T11:45:20Z#TITLE_ALTERNATIVE# ARIEF NARENDRA (NIM : 10213023), HASTO Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/22401 Ionizing radiation for cancer treatment also known as radiotherapy has undergone development for more than century. Radiation kills cancer by giving partially or entirely all of the energy to the tumour tissue, especially in the DNA. If a tumour or a cancer is irradiated by radiotherapy, there is no way to avoid the tissue near the cancer will be affected by the radiation. As a result, the healthy tissue near tumour will loss their functionality, or worse, there may appear the new tumour in that tissue. Therefore, it should be done some improvement in quality of radiotherapy, one of the example is optimization of time-dose fractionation radiotherapy scheme. To optimize the fractionation dose, it is made a program in matlab using simulated annealing as optimization method. The objective function is Biologically Effective Dose of the cancer, with Biologically Effective Dose of the healthy tissue around the cancer as a constraint. After obtaining the optimum dose per fraction, then the data will be analyzed toward the total and fractionation time. Thus, it would be obtained the optimum of time scheme and dose fractionation of a cancer. The result of this research will show the dose per fraction from total time in 10 until 60 days from both of the treatment scheme, the value of Biologically Effective Dose of the cancer, and the optimum of dose per fraction from both of the treatment. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Ionizing radiation for cancer treatment also known as radiotherapy has undergone development for more than century. Radiation kills cancer by giving partially or entirely all of the energy to the tumour tissue, especially in the DNA. If a tumour or a cancer is irradiated by radiotherapy, there is no way to avoid the tissue near the cancer will be affected by the radiation. As a result, the healthy tissue near tumour will loss their functionality, or worse, there may appear the new tumour in that tissue. Therefore, it should be done some improvement in quality of radiotherapy, one of the example is optimization of time-dose fractionation radiotherapy scheme. To optimize the fractionation dose, it is made a program in matlab using simulated annealing as optimization method. The objective function is Biologically Effective Dose of the cancer, with Biologically Effective Dose of the healthy tissue around the cancer as a constraint. After obtaining the optimum dose per fraction, then the data will be analyzed toward the total and fractionation time. Thus, it would be obtained the optimum of time scheme and dose fractionation of a cancer. The result of this research will show the dose per fraction from total time in 10 until 60 days from both of the treatment scheme, the value of Biologically Effective Dose of the cancer, and the optimum of dose per fraction from both of the treatment.
format Final Project
author ARIEF NARENDRA (NIM : 10213023), HASTO
spellingShingle ARIEF NARENDRA (NIM : 10213023), HASTO
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author_facet ARIEF NARENDRA (NIM : 10213023), HASTO
author_sort ARIEF NARENDRA (NIM : 10213023), HASTO
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/22401
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