1. Provide a classification of the PET segmentation methods based on their assumptions, algorithmic approach, detail, complexity and goal. Provide information on the advantages, limitations and applicability of each class of methods based on the limitations imposed by their assumptions and on current literature. Consider the different applications of interest such as "dose painting" or simpler functional volume definition for radiotherapy treatment planning, or volume changes in treatment with PET. 2. Draft a list of minimum requirements which PET segmentation methods should satisfy, as well as acceptance and implementation procedures for these methods. 3. Propose a protocol for evaluation of current and future segmentation methods based on a general framework , which will be expanded and adapted to PET imaging .
|Bylaws:||Not Referenced.Rules: Not Referenced.
|Approved Date(s)||Start: 10/13/2010
Image Segmentation Algorithms, PET, Radiation Therapy, TG211
|Most recent status update:||The first report is being revised after second review. The first draft of the second report (not a review),was circulated within the group and is in preparation for submission to TISC. - [10/14/2013 by Assen Kirov] Click to update.
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