Prog Med Phys.  2017 Sep;28(3):122-128. 10.14316/pmp.2017.28.3.122.

Institutional Applications of Eclipse Scripting Programming Interface to Clinical Workflows in Radiation Oncology

Affiliations
  • 1Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. bccho@amc.seoul.kr

Abstract

Eclipse Scripting Application Programming Interface (ESAPI) was devised to enhance the efficiency in such treatment related workflows as contouring, treatment planning, plan quality measure, and data-mining by communicating with the treatment planning system (TPS). It is provided in the form of C# programming based toolbox, which could be modified to fit into the clinical applications. The Scripting program, however, does not offer all potential functionalities that the users intend to develop. The shortcomings can be overcome by combining the Scripting programming with user-executable program on Windows or Linux. The executed program has greater freedom in implementation, which could strengthen the ability and availability of the Scripting on the clinical applications. This work shows the use of the Scripting programming throughout the simple modification of the given toolbox. Besides, it presents the implementation of combining both Scripting and user-executed programming based on MATLAB, applied to automated dynamic MLC wedge and FIF treatment planning procedure for promoting the planning efficiency.

Keyword

Eclipse Scripting API; Data-mining; Plan quality metrics; Dynamic MLC wedge; Field-in-Field

MeSH Terms

Freedom
Radiation Oncology*

Figure

  • Fig. 1. Framework of Scripting API communicating with Eclipse TPS. It runs the API in three different ways: A. Running on each patient dataset, B. Accessing DB with stand-alone program, and C. Implementing an execution file created by users to conduct the intended tasks.

  • Fig. 2. Plan quality metrics by modifying C# code of the Scripting API to add the conformality index of the target volume (dotted box).

  • Fig. 3. Example of data-mining throughout the Scripting API, which was designed to measure the volume of the designated organs contoured on different imaging modalities.

  • Fig. 4. Automated MLC-pair adjustment for two-types of planning procedures throughout a combination of Scripting programming with user-created execution program (Top: Dynamic wedge, Bottom: Field-in-Field (FIF)).


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