Open AccessDevelopment of an age-scalable 3D computational phantom in DICOM standard for late effects studies of childhood cancer survivors
Author(s) -
Aashish C. Gupta,
Suman Shrestha,
Constance A. Owens,
Susan A. Smith,
Ying Qiao,
Rita Weathers,
Peter A Balter,
Stephen F. Kry,
Rebecca M. Howell
Publication year - 2020
Publication title -
biomedical physics and engineering express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.333
H-Index - 16
ISSN - 2057-1976
DOI - 10.1088/2057-1976/ab97a3
Subject(s) - dicom , imaging phantom , fortran , computer science , python (programming language) , scalability , percentile , nuclear medicine , medical physics , computational science , medicine , mathematics , artificial intelligence , statistics , programming language , database
We previously developed an age-scalable 3D computational phantom that has been widely used for retrospective whole-body dose reconstructions of conventional two-dimensional historic radiation therapy (RT) treatments in late effects studies of childhood cancer survivors. This phantom is modeled in the FORTRAN programming language and is not readily applicable for dose reconstructions for survivors treated with contemporary RT whose treatment plans were designed using computed tomography images and complex treatment fields. The goal of this work was to adapt the current FORTRAN model of our age-scalable computational phantom into Digital Imaging and Communications in Medicine (DICOM) standard so that it can be used with any treatment planning system (TPS) to reconstruct contemporary RT. Additionally, we report a detailed description of the phantom's age-based scaling functions, information that was not previously published.