<p>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. </p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/22704532 |
| Date | 26 April 2023 |
| Creators | Nathaniel John Smith (15361579) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY-NC-SA 4.0 |
| Relation | https://figshare.com/articles/thesis/Quantitative_Modeling_of_PET_Images_in_the_Diagnostic_Assessment_of_Brain_and_Prostate_Cancer/22704532 |
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