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Quantitative Modeling of PET Images in the Diagnostic Assessment of Brain and Prostate Cancer

thesis
posted on 2023-04-26, 19:37 authored by Nathaniel John SmithNathaniel John Smith

Herein, the development, optimization, and evaluation of quantitative techniques are presented for dynamic PET studies in cancer imaging applications. Dynamic PET image analysis techniques are first applied to 18F-fluoroethyltyrosine (FET) PET imaging of glioma and brain metastasis patients. In a second application, dynamic PET image analysis techniques are applied to 68Ga-PSMA-11 PET imaging for primary prostate cancer patients. Overall, the application of dynamic PET imaging techniques supports improved clinical outcomes and enhanced clinician confidence for treatment modifications. 

Funding

NIH R01CA202695

History

Degree Type

  • Doctor of Philosophy

Department

  • Biomedical Engineering

Campus location

  • West Lafayette

Advisor/Supervisor/Committee Chair

Gary Hutchins

Advisor/Supervisor/Committee co-chair

Craig Goergen

Additional Committee Member 2

Sherry Harbin

Additional Committee Member 3

Jason Parker

Additional Committee Member 4

Lauren Christopher

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    Categories

    Keywords

    glioblastoma multiformeprostate cancerfunctional imagingPositron Emission Tomography[Ga-68]-PSMA-11 PET[F-18]-FET PET

    Licence

    CC BY-NC-SA 4.0

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