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Proceedings Paper

A knowledge-based imaging informatics approach to managing patients treated with proton beam therapy
Author(s): B. J. Liu; H. K. Huang; M. Law; Anh Le; Jorge Documet; Arek Gertych
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Paper Abstract

Last year we presented work on an imaging informatics approach towards developing quantitative knowledge and tools based on standardized DICOM-RT objects for Image-Guided Radiation Therapy. In this paper, we have extended this methodology to perform knowledge-based medical imaging informatics research on specific clinical scenarios where brain tumor patients are treated with Proton Beam Therapy (PT). PT utilizes energized charged particles, protons, to deliver dose to the target region. Protons are energized to specific velocities which determine where they will deposit maximum energy within the body to destroy cancerous cells. Treatment Planning is similar in workflow to traditional Radiation Therapy methods such as Intensity-Modulated Radiation Therapy (IMRT) which utilizes a priori knowledge to drive the treatment plan in an inverse manner. In March 2006, two new RT Objects were drafted in a DICOM-RT Supplement 102 specifically for Ion Therapy which includes Proton Therapy. The standardization of DICOM-RT-ION objects and the development of a knowledge base as well as decision-support tools that can be add-on features to the ePR DICOM-RT system were researched. We have developed a methodology to perform knowledge-based medical imaging informatics research on specific clinical scenarios. This methodology can be used to extend to Proton Therapy and the development of future clinical decision-making scenarios during the course of the patient's treatment that utilize "inverse treatment planning". In this paper, we present the initial steps toward extending this methodology for PT and lay the foundation for development of future decision-support tools tailored to cancer patients treated with PT. By integrating decision-support knowledge and tools designed to assist in the decision-making process, a new and improved "knowledge-enhanced treatment planning" approach can be realized.

Paper Details

Date Published: 21 March 2007
PDF: 11 pages
Proc. SPIE 6516, Medical Imaging 2007: PACS and Imaging Informatics, 651616 (21 March 2007); doi: 10.1117/12.710642
Show Author Affiliations
B. J. Liu, Univ. of Southern California (United States)
H. K. Huang, Univ. of Southern California (United States)
M. Law, Hong Kong Polytechnic Univ. (China)
Anh Le, Univ. of Southern California (United States)
Jorge Documet, Univ. of Southern California (United States)
Arek Gertych, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 6516:
Medical Imaging 2007: PACS and Imaging Informatics
Steven C. Horii; Katherine P. Andriole, Editor(s)

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