Towards 3D Web-Based Simulation and Training Systems for Radiation Oncology

Felix G. Hamza-Lup; Ivan Sopin; Omar Zeidan

Towards 3D Web-Based Simulation and Training Systems for Radiation Oncology

Felix G. Hamza-Lup
, Ivan Sopin
, Omar Zeidan

Computer Science

Armstrong Atlantic State University
M. D. Anderson Cancer Center, Orlando

Research output: Contribution to book or proceeding › Chapter

Abstract

Radiation therapy is an effective cancer treatment solution, involving complex machinery and careful planning. Physicians find difficulty in visualizing the relative three-dimensional positions of linac (linear accelerator) components. We propose a graphical simulator for linacs that will improve the planning process, saving time and resources in generating the optimal treatment plan, and serve as a learning tool. Embedding patient-specific data (CT scans) in the interactive simulator advances the radiation therapy planning process by early detection of collision cases.

Original language	American English
Title of host publication	Proceedings of the Computer Assisted Radiology and Surgery International Congress and Exhibition
State	Published - Jun 27 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Disciplines

Computer Sciences

Keywords

3D modeling
Radiation therapy
Web-based simulation
X3D

Cite this

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title = "Towards 3D Web-Based Simulation and Training Systems for Radiation Oncology",

abstract = " Radiation therapy is an effective cancer treatment solution, involving complex machinery and careful planning. Physicians find difficulty in visualizing the relative three-dimensional positions of linac (linear accelerator) components. We propose a graphical simulator for linacs that will improve the planning process, saving time and resources in generating the optimal treatment plan, and serve as a learning tool. Embedding patient-specific data (CT scans) in the interactive simulator advances the radiation therapy planning process by early detection of collision cases.",

keywords = "3D modeling, Radiation therapy, Web-based simulation, X3D",

author = "Hamza-Lup, \{Felix G.\} and Ivan Sopin and Omar Zeidan",

year = "2007",

month = jun,

day = "27",

language = "American English",

booktitle = "Proceedings of the Computer Assisted Radiology and Surgery International Congress and Exhibition",

}

TY - CHAP

T1 - Towards 3D Web-Based Simulation and Training Systems for Radiation Oncology

AU - Hamza-Lup, Felix G.

AU - Sopin, Ivan

AU - Zeidan, Omar

PY - 2007/6/27

Y1 - 2007/6/27

N2 - Radiation therapy is an effective cancer treatment solution, involving complex machinery and careful planning. Physicians find difficulty in visualizing the relative three-dimensional positions of linac (linear accelerator) components. We propose a graphical simulator for linacs that will improve the planning process, saving time and resources in generating the optimal treatment plan, and serve as a learning tool. Embedding patient-specific data (CT scans) in the interactive simulator advances the radiation therapy planning process by early detection of collision cases.

AB - Radiation therapy is an effective cancer treatment solution, involving complex machinery and careful planning. Physicians find difficulty in visualizing the relative three-dimensional positions of linac (linear accelerator) components. We propose a graphical simulator for linacs that will improve the planning process, saving time and resources in generating the optimal treatment plan, and serve as a learning tool. Embedding patient-specific data (CT scans) in the interactive simulator advances the radiation therapy planning process by early detection of collision cases.

KW - 3D modeling

KW - Radiation therapy

KW - Web-based simulation

KW - X3D

UR - https://digitalcommons.georgiasouthern.edu/compsci-facpubs/153

M3 - Chapter

BT - Proceedings of the Computer Assisted Radiology and Surgery International Congress and Exhibition

ER -

Towards 3D Web-Based Simulation and Training Systems for Radiation Oncology

Abstract

UN SDGs

Disciplines

Keywords

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