MR Image Acquisition and Reconstruction in the Era of Deep Learning

Explore the transformative impact of deep learning on MR image acquisition and reconstruction in this 50-minute lecture by Florian Knoll from New York University. Delve into recent advancements in optimization and deep learning, examining their potential to revolutionize medical imaging. Learn how these developments, coupled with increased access to powerful computing resources and large datasets, are reshaping the field. Discover how inverse problems and variational optimization can make MRI faster, more user-friendly, patient-centric, and accessible while extracting new information. Gain insights into methodological developments, clinical translation, validation processes, and ongoing research questions in this cutting-edge area of medical imaging technology.