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Physical Sciences and Mathematics

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Theses/Dissertations

2022

Positron emission tomography

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Full-Text Articles in Medicine and Health Sciences

“Translation Of Hdac6 Pet Imaging Using [18f]Ekz-001 – Cgmp Production And Measurement Of Hdac6 Target Occupancy In Nhps” – A Review, Dania Rahal May 2022

“Translation Of Hdac6 Pet Imaging Using [18f]Ekz-001 – Cgmp Production And Measurement Of Hdac6 Target Occupancy In Nhps” – A Review, Dania Rahal

Chemistry & Biochemistry Undergraduate Honors Theses

The inhibition of histone deacetylase 6 (HDAC6) has been reported to alleviate the effects of neurodegenerative diseases such as Alzheimer’s disease. The brain-penetrant PET radioligand [18F]EKZ-001 has high affinity and selectivity towards HDAC6 and therefore suggests great promise in therapeutic treatment studies and development for neurodegenerative diseases. “Translation of HDAC6 PET imaging using [18F]EKZ-001 – cGMP production and measurement of HDAC6 target occupancy in NHPs” has achieved an effective, fully automated method of producing [18F]EKZ-001 in compliance with current good manufacturing practices (cGMP) to support the translation of [18F]EKZ-001 PET for …


Multi-Modality Automatic Lung Tumor Segmentation Method Using Deep Learning And Radiomics, Siqiu Wang Jan 2022

Multi-Modality Automatic Lung Tumor Segmentation Method Using Deep Learning And Radiomics, Siqiu Wang

Theses and Dissertations

Delineation of the tumor volume is the initial and fundamental step in the radiotherapy planning process. The current clinical practice of manual delineation is time-consuming and suffers from observer variability. This work seeks to develop an effective automatic framework to produce clinically usable lung tumor segmentations. First, to facilitate the development and validation of our methodology, an expansive database of planning CTs, diagnostic PETs, and manual tumor segmentations was curated, and an image registration and preprocessing pipeline was established. Then a deep learning neural network was constructed and optimized to utilize dual-modality PET and CT images for lung tumor segmentation. …