Artificial Intelligence for Lung Scintigraphy and Pulmonary Embolism

Ventilation-perfusion (V/Q) scintigraphy has a major role to play in the diagnosis of pulmonary embolism (PE). Objective criteria exist for diagnosing PE on both V/Q planar and SPECT; however, reporting physicians ultimately incorporate their own subjective judgement into a final diagnosis. Therefore, this imaging modality is a promising candidate for standardizing and automating image interpretation with artificial intelligence (AI). Early studies from the 1990s and early 2000s with this aim report promising results but now rely on outdated machine learning techniques.

Development and Optimization of Freeze-dried Formulations of Ga-68 based cold kit and its performance evaluation by Radiolabeling and Animal Imaging

The student will be involved in the research and development of a novel multi-dose lyophilized vial kit for the preparation of Gallium 68Ga-DOTATOC injection used for the PET imaging of neuroendocrine tumors. This novel kit compared to the currently available ready to use injectable solution, has better shelf life and can be easily shipped to a radiopharmacy where the vial can be radiolabeled by adding the 68Ga-chloride eluted from a generator or cyclotron, and then distributed to hospitals and other nuclear medicine clinics.

Characterization study of the pressure drop throughout lifetime of the Ruby-Fill generators

The objective of this study will be to characterize the generator column line resistance, at different flow rates, throughout the generator lifecycle.