Analysis of PET Imaging for Tumor Delineation

Ray, S. (2019) Analysis of PET Imaging for Tumor Delineation. 11th SINAPSE Annual Scientific Meeting, Dundee, UK, 21 Jun 2019.

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The primary goal of this is research is to build a statistical framework for automated PET image analysis that is closer to human perception. Although manual interpretation of the PET image is more accurate and reproducible than thresholding-based semiautomatic segmentation methods, human contouring has large interobserver and intraobserver variations and moreover, it is extremely time-consuming. Further, it is harder for humans to analyze more than two dimensions at a time and it becomes even harder if multiple modalities are involved. Moreover, if the task is to analyze a series of images it quickly becomes an onerous job for a single human. The new statistical framework is designed to mimic the human perception for tumour delineation and marry it with all the advan- tages of an analytic method using modern day computing environment.

Item Type:Conference or Workshop Item
Glasgow Author(s) Enlighten ID:Ray, Professor Surajit
Authors: Ray, S.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Copyright Holders:Copyright © 2019 The Author
Publisher Policy:Reproduced with the permission of the Author

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