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VETOT, Volume Estimation and Tracking Over Time: Framework and Validation

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dc.contributor.author Guyon Jean-Philippe
dc.contributor.author Foskey Mark
dc.contributor.author Kim Jisung
dc.contributor.author Firat Zeynep
dc.contributor.author Davis Barbara
dc.contributor.author Haneke Karen
dc.contributor.author Aylward Stephen R
dc.date.accessioned 2018-01-15T20:48:27Z
dc.date.available 2018-01-15T20:48:27Z
dc.date.issued 2003
dc.identifier.uri http://hdl.handle.net/123456789/5542
dc.description.abstract We have implemented an effective and publicly available tool, VETOT, to track and quantify the evolution of tumors and organs over time. VETOT includes a framework both for registration and segmentation. We have evaluated the accuracy and reliability of different level set segmentation methods in order to validate this part of our software and evaluate its usability. In addition to the registration and segmentation frameworks, our program allows the creation of inter-and intra-patient atlases based on a common coordinate system defined by the landmarks selected during the registration process. Based on the National Library of Medicine's Insight toolkit, this free software is exten-sible and provides an intuitive interface that allows very fast processing with minimum training. This paper details VETOT and our level set segmentation evaluation.
dc.format application/pdf
dc.title VETOT, Volume Estimation and Tracking Over Time: Framework and Validation
dc.type generic


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