{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/125703"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/125703","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Pet-based heterogeneity analysis: Strategies for radiomic feature selection","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","abstract_has_math":false,"creators":["Okoro, Goodluck"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Bioengineering","degree_department":null,"school":null,"contributors":["Dobrucki, Wawrzyniec"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-07-16","date_published":"2024-07-16","updated_at":"2026-07-22T22:25:02Z","subjects":["Radiomics","Feature Selection","Repeatability","Heterogeneity Analysis","Positron Emission Tomography"],"languages":["en","eng"],"rights":["Copyright 2024 Goodluck Okoro"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/125703","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dobrucki, Wawrzyniec"]},{"key":"dc:creator","label":"Author","values":["Okoro, Goodluck"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-07-16","2024-08"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Bioengineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Radiomics","Feature Selection","Repeatability","Heterogeneity Analysis","Positron Emission Tomography"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2024 Goodluck Okoro"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/125703"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","The student, Goodluck Okoro, accepted the attached license on 2024-07-09 at 07:46.","The student, Goodluck Okoro, submitted this Thesis for approval on 2024-07-09 at 07:56.","This Thesis was approved for publication on 2024-07-16 at 15:22.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20996 on 2025-02-04 at 21:16:30","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Pet-based heterogeneity analysis: Strategies for radiomic feature selection"]}]}],"canonical_facts":{"dc:contributor":["Dobrucki, Wawrzyniec"],"dc:creator":["Okoro, Goodluck"],"dc:date":["2024-07-16","2024-08"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","The student, Goodluck Okoro, accepted the attached license on 2024-07-09 at 07:46.","The student, Goodluck Okoro, submitted this Thesis for approval on 2024-07-09 at 07:56.","This Thesis was approved for publication on 2024-07-16 at 15:22.","DSpace SAF Submission Ingestion Package generated from Vireo submission #20996 on 2025-02-04 at 21:16:30","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/125703"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Goodluck Okoro"],"dc:subject":["Radiomics","Feature Selection","Repeatability","Heterogeneity Analysis","Positron Emission Tomography"],"dc:title":["Pet-based heterogeneity analysis: Strategies for radiomic feature selection"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Bioengineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:02Z"}