Joint optimization of learning-based image reconstruction and sampling for MRI
Date: October 21, 2022 12-1 PM Eastern time
Speakers: Jeff Fessler, Ph.D.
Machine learning approaches to medical image reconstruction are of considerable recent interest, such as supervised approaches that use a corpus of training data. Accelerated MRI scanning, where fewer k-space points than image voxels are acquired, is a natural setting for such methods. Recently, machine learning methods for optimizing k-space sampling have also had growing interest. This talk will summarize our recent work in developing machine learning-based image reconstruction in MRI. Part of the training process involves MRI simulations that might be considered a type of virtual imaging trial.