A Path Towards Clinical Adaptation of Accelerated MRI

1 code implementation • 26 Aug 2022 • Michael S. Yao, Michael S. Hansen

Accelerated MRI reconstructs images of clinical anatomies from sparsely sampled signal data to reduce patient scan times.

End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction

no code implementations • 23 Sep 2021 • Ruiyang Zhao, Yuxin Zhang, Burhaneddin Yaman, Matthew P. Lungren, Michael S. Hansen

Deep learning techniques have emerged as a promising approach to highly accelerated MRI.

Lesion Detection MRI Reconstruction +1

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data

1 code implementation • 8 Sep 2021 • Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael S. Hansen, Matthew P. Lungren

Improving speed and image quality of Magnetic Resonance Imaging (MRI) via novel reconstruction approaches remains one of the highest impact applications for deep learning in medical imaging.

MRI Reconstruction