Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT

This course focuses on teaching deep learning guided reconstruction and processing techniques for PET, SPECT, and CT imaging. The learning outcomes include understanding how to apply deep learning algorithms for image reconstruction and processing in medical imaging. The course aims to equip learners with the skills to implement deep learning models for improving image quality and accuracy in PET, SPECT, and CT scans. The teaching method involves a workshop format with lectures and practical demonstrations. This course is intended for individuals interested in the intersection of deep learning and medical imaging, particularly in the context of PET, SPECT, and CT technologies.