Paper
19 May 2003 The data model of a PACS-based DICOM radiation therapy server
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Abstract
Radiotherapy (RT) requires information and images from both diagnostic and treatment equipment. Standards for radiotherapy information have been ratified with seven DICOM-RT objects and their IODs (Information Object Definitions). However, the contents of these objects require the incorporation of the RT workflow in a logical sequence. The first step is to trace the RT workflow. The second step now is to direct all images and related information in their corresponding DICOM-RT objects into a DICOM RT Server and then ultimately to an RT application server. Methods: In our design, the RT DICOM Server was based on a PACS data model. The data model can be translated to web-based technology server and an application server built on top of the Web server for RT. In the process, the contents in each of the DICOM-RT objects were customized for the RT display windows. Results: Six display windows were designed and the data model in the RT application server was developed. The images and related information were grouped into the seven DICOM-RT Objects in the sequence of their procedures, and customized for the seven display windows. This is an important step in organizing the data model in the application server for radiation therapy. Conclusion: Radiation therapy workflow study is a pre-requisite for data model design that can enhance image-based healthcare delivery.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Y. Y. Law, H. K. Huang, Xiaoyan Zhang, and Jianguo Zhang "The data model of a PACS-based DICOM radiation therapy server", Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); https://doi.org/10.1117/12.481939
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Cited by 7 scholarly publications.
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KEYWORDS
Radiotherapy

Data modeling

Picture Archiving and Communication System

Diagnostics

Computed tomography

Data communications

Medicine

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