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SU‐E‐T‐26: Automated Plan Evaluation System: Design and Implementation
Author(s) -
Kapur Priyanka,
Kapoor Rishabh,
Kapoor S L
Publication year - 2011
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3611976
Subject(s) - dicom , software , computer science , dosimetry , plan (archaeology) , radiation treatment planning , medical physics , process (computing) , nuclear medicine , software engineering , data mining , radiation therapy , medicine , artificial intelligence , programming language , radiology , archaeology , history
Purpose: To present software for a Radiation therapy facility that will simplify the process of dosimetric plan evaluation and will help clinicians and physicists to review the plan. Materials and method: Every treatment plan requires certain dosimetric characteristics or parameters to be evaluated, which are essential for the assessment of a treatment plan. One can automate this process with the software that can understand the treatment plan and DVH data and gives you the desired results. This software accepts DICOM RT data from IHE‐RO compliant Varian Eclipse v 8.6 and computes DVH. There is also a facility to define disease site, technique and fractionation specific templates for dose volume constraints. This software helps you to analyze the normal tissue tolerances with the data given in the literature and also gives user the freedom to use α/β ratios to modify the tolerance values in accordance with dose‐fractionation scheme. The dosimetric indices such as conformity index and homogeneity index can also be calculated and compared with the user defined criteria in the template. Results: The prototype system has been used to design various templates for different treatment sites such as head and neck and breast. These templates are used to evaluate plan and dosimetric parameters for several patients. Conclusion: This prototype software provides a simplified solution for an automated dosimetric plan evaluation. The dosimetric parameters used in the plan evaluation is stored in an database archive for all the patients and this data is intended to used for further analysis.