Pet-based heterogeneity analysis: Strategies for radiomic feature selection

Although several radiomic features have been reported for heterogeneity analysis in Positron Emission Tomography (PET) imaging, there is a lack of standardization and consensus on the most appropriate set of heterogeneity parameters to use in different imaging applications. In this study, with computer-generated heterogeneous images and different heterogeneous phantom patterns, I used 20 widely reported repeatable radiomic features to investigate the impact of critical parameters such as image acquisition time, heterogeneous patterns, image resolution, reconstruction parameters, and choice of filter on repeatability and feature selection. My findings reveal the pivotal role of image acquisition time in influencing the reliability of radiomic features and heterogeneity calculations. Furthermore, by imaging a phantom over a duration of time and analyzing radiomic features at different time points, it is possible to capture the dynamics of feature stability in the context of changing acquisition times. With this methodology, I observed that certain intensity-based radiomic features exhibit greater stability amidst variations in imaging and post-processing parameters. I have also presented suggestions on possible ways to approach heterogeneity analysis for a more robust radiomic feature selection.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Bioengineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2024

Author dc:creator

• Okoro, Goodluck

Contributors dc:contributor

• Dobrucki, Wawrzyniec

• Radiomics
• Feature Selection
• Repeatability
• Heterogeneity Analysis
• Positron Emission Tomography

Statement dc:rights

• Copyright 2024 Goodluck Okoro

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/125703

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F125703