Meeting Banner
Abstract #0442

MoDL: Model Based Deep Learning Architecture for Image Recovery with Prior Information.

Hemant Kumar Aggarwal1, Merry Mani1, and Mathews Jacob1

1University of Iowa, Iowa City, IA, United States

The primary focus of this work is to introduce a novel deep learning framework, which synergistically combines the benefits of model-based image recovery with the power of deep learning. This work enables the easy exploitation of prior information available from calibration scans, in addition to significantly reducing the number of network parameters, amount of training data required, and computational complexity. More importantly, the insensitivity of the learned model to the acquisition parameters also facilitates its easy reuse with a range of acquisition settings.

This abstract and the presentation materials are available to members only; a login is required.

Join Here