Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31324
Title: Image-assisted knowledge discovery and decision support in radiation therapy planning
Authors: Liu, BJ
Law, MYY
Documet, J
Gertych, A
Keywords: Brain tumor
Decision-support
DICOM-RT
Intensity modulated radiation therapy (IMRT)
Inverse treatment planning
Quantified knowledge
Issue Date: 2007
Publisher: Pergamon-Elsevier Science Ltd
Source: Computerized medical imaging and graphics, 2007, v. 31, no. 4-5, p. 311-321 How to cite?
Journal: Computerized Medical Imaging and Graphics 
Abstract: The need for quantified knowledge and decision-support tools to handle complex radiation therapy (RT) imaging and informatics data is becoming steadily apparent. Lessons can be learned from current CAD applications in radiology. This paper proposes a methodology to develop this quantified knowledge and decision-support tools to facilitate RT treatment planning. The methodology is applied to cancer patient cases treated by intensity modulated radiation therapy (IMRT). The use of the "inverse treatment planning" and imaging intensive nature of IMRT allows for the development of such image-assisted tools for supporting decision-making thus providing better workflow efficiency and more precise dose predictions.
URI: http://hdl.handle.net/10397/31324
ISSN: 0895-6111
DOI: 10.1016/j.compmedimag.2007.02.006
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