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

I was particularly impressed by the discussion on enhancing image reconstruction techniques across PET, SPECT, and CT modalities. The speakers effectively demonstrated how these advancements are improving diagnostic accuracy and efficiency. As someone interested in medical imaging, I found this lecture to be both informative and thought-provoking. I highly recommend it to professionals and students in the field.

Interesting! KUDOS to the reconstruction and processing that helps in motion correction and better clarity of the images !

this is useful for me, otherwise i can see many things deeply about PET, SPECT and CT on it. I hope i can use this knowledge in my job in better way

I learnt a lot from this course. Ranging from the introduction to the very end. He was detailed in explaining all the steps and I have a better knowledge on PET now.
Going further on reconstruction mechanisms and basis , he threw more points on the importance

I found the "Deep Learning Guided Reconstruction and Processing for PET, SPECT, and CT" course by Yale University to be an excellent resource for anyone interested in combining deep learning techniques with medical imaging. The content was detailed and covered key concepts, from image reconstruction to data processing in PET, SPECT, and CT scans. The instructors explained complex topics clearly, and the inclusion of real-world applications was incredibly insightful. However, some parts could benefit from more practical examples or hands-on exercises. Overall, it's a highly informative course for students and professionals in biomedical engineering or radiology.