Abstract #0990

MRI reconstruction via Data-Driven Markov Chains with Joint Uncertainty Estimation: Extended Analysis

Guanxiong Luo¹, Martin Heide¹, Moritz Blumenthal¹, and Martin Uecker^1,2,3,4

¹University Medical Center Göttingen, Göttingen, Germany, ²Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria, ³German Centre for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany, ⁴Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells'' (MBExC), University of Göttingen, Göttingen, Germany

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Image ReconstructionThe application of generative models in MRI reconstruction is shifting researchers’ attention from the unrolled reconstruction networks to the probabilistically tractable iterations and permits an unsupervised fashion for medical image reconstruction.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.