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.

Abstract

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
• Status: Published
• Refereed: No
• 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