Literature DB >> 19239055

Vega library for processing DICOM data required in Monte Carlo verification of radiotherapy treatment plans.

C Locke1, S Zavgorodni.   

Abstract

Monte Carlo (MC) methods provide the most accurate to-date dose calculations in heterogeneous media and complex geometries, and this spawns increasing interest in incorporating MC calculations into treatment planning quality assurance process. This involves MC dose calculations for clinically produced treatment plans. To perform these calculations, a number of treatment plan parameters specifying radiation beam and patient geometries need to be transferred to MC codes, such as BEAMnrc and DOSXYZnrc. Extracting these parameters from DICOM files is not a trivial task, one that has previously been performed mostly using Matlab-based software. This paper describes the DICOM tags that contain information required for MC modeling of conformal and IMRT plans, and reports the development of an in-house DICOM interface, through a library (named Vega) of platform-independent, object-oriented C++ codes. The Vega library is small and succinct, offering just the fundamental functions for reading/modifying/writing DICOM files in a C++ program. The library, however, is flexible enough to extract all MC required data from DICOM files, and write MC produced dose distributions into DICOM files that can then be processed in a treatment planning system environment. The library can be made available upon request to the authors.

Entities:  

Mesh:

Year:  2008        PMID: 19239055     DOI: 10.1007/bf03178598

Source DB:  PubMed          Journal:  Australas Phys Eng Sci Med        ISSN: 0158-9938            Impact factor:   1.430


  1 in total

1.  Jaw position uncertainty and adjacent fields in breast cancer radiotherapy.

Authors:  Emma Hedin; Anna Bäck; Roumiana Chakarova
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.