open access

Vol 16, No 2 (2011)
Published online: 2011-03-01
Submitted: 2010-10-15
Get Citation

Tomotherapy archive structure and new software tool for loading and advanced analysis of data contained in it

Adam Ryczkowski, Tomasz Piotrowski
DOI: 10.1016/j.rpor.2011.01.004
·
Rep Pract Oncol Radiother 2011;16(2):58-64.

open access

Vol 16, No 2 (2011)
Published online: 2011-03-01
Submitted: 2010-10-15

Abstract

Aim

The main objective of the study was to analyze the structure of data contained in the archives exported from a tomotherapy treatment planning system. An additional aim was to create an application equipped with a user-friendly interface to enable automatic reading of files and data analysis, also using external algorithms. Analyses had to include image registration, dose deformation and summation.

Materials and methods

Files from the archive exported from the tomotherapy treatment planning system (TPS) were analyzed. Two programs were used to analyze the information contained in the archive files: XML Viewer by MindFusion Limited and HxD hex editor by Maël Hora. To create an application enabling loading and analyzing the data, Matlab by MathWorks, version R2009b, was used.

Results

Archive exported from the TPS is a directory with several files. It contains three types of data: .xml, .img and .sin. Tools available in Matlab offer great opportunities for analysis and transformation of loaded information. Proposed application automates the loading of necessary information and simplifies data handling. Furthermore, the application is equipped with a graphical user interface (GUI). The main application window contains buttons for opening the archives and analyzing the loaded data.

Conclusion

The analysis of data contained in the archive exported from the tomotherapy treatment planning system allowed to determine the way and place of saving information of our interest, such as tomography images, structure sets and dose distributions. This enabled us to develop and optimize methods of loading and analyzing this information.

Abstract

Aim

The main objective of the study was to analyze the structure of data contained in the archives exported from a tomotherapy treatment planning system. An additional aim was to create an application equipped with a user-friendly interface to enable automatic reading of files and data analysis, also using external algorithms. Analyses had to include image registration, dose deformation and summation.

Materials and methods

Files from the archive exported from the tomotherapy treatment planning system (TPS) were analyzed. Two programs were used to analyze the information contained in the archive files: XML Viewer by MindFusion Limited and HxD hex editor by Maël Hora. To create an application enabling loading and analyzing the data, Matlab by MathWorks, version R2009b, was used.

Results

Archive exported from the TPS is a directory with several files. It contains three types of data: .xml, .img and .sin. Tools available in Matlab offer great opportunities for analysis and transformation of loaded information. Proposed application automates the loading of necessary information and simplifies data handling. Furthermore, the application is equipped with a graphical user interface (GUI). The main application window contains buttons for opening the archives and analyzing the loaded data.

Conclusion

The analysis of data contained in the archive exported from the tomotherapy treatment planning system allowed to determine the way and place of saving information of our interest, such as tomography images, structure sets and dose distributions. This enabled us to develop and optimize methods of loading and analyzing this information.

Get Citation

Keywords

Tomotherapy; Non-rigid image registration; Dose distribution; Matlab

About this article
Title

Tomotherapy archive structure and new software tool for loading and advanced analysis of data contained in it

Journal

Reports of Practical Oncology and Radiotherapy

Issue

Vol 16, No 2 (2011)

Pages

58-64

Published online

2011-03-01

DOI

10.1016/j.rpor.2011.01.004

Bibliographic record

Rep Pract Oncol Radiother 2011;16(2):58-64.

Keywords

Tomotherapy
Non-rigid image registration
Dose distribution
Matlab

Authors

Adam Ryczkowski
Tomasz Piotrowski

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