View source for 18468802. MODEL-BASED RECONSTRUCTION FOR GRASP MRI (Siemens Healthineers AG)

=MODEL-BASED RECONSTRUCTION FOR GRASP MRI=


==Organization Name==

[[:Category:Siemens Healthineers AG|Siemens Healthineers AG]]


[[Category:Siemens Healthineers AG]]

==Inventor(s)==

[[:Category:Mahmoud Mostapha of Princeton NJ US|Mahmoud Mostapha of Princeton NJ US]][[Category:Mahmoud Mostapha of Princeton NJ US]]

[[:Category:Simon Arberet of Princeton NJ US|Simon Arberet of Princeton NJ US]][[Category:Simon Arberet of Princeton NJ US]]

[[:Category:Marcel Dominik Nickel of Herzogenaurach DE|Marcel Dominik Nickel of Herzogenaurach DE]][[Category:Marcel Dominik Nickel of Herzogenaurach DE]]

[[:Category:Mariappan S. Nadar of Plainsboro NJ US|Mariappan S. Nadar of Plainsboro NJ US]][[Category:Mariappan S. Nadar of Plainsboro NJ US]]

==MODEL-BASED RECONSTRUCTION FOR GRASP MRI==


This abstract first appeared for US patent application 18468802 titled 'MODEL-BASED RECONSTRUCTION FOR GRASP MRI

==Original Abstract Submitted==

Systems and methods for a deep learning reconstruction network with computationally light and efficient CNN architecture and a training strategy tailored to image reconstruction of dynamic multi-coil GRASP MRI. The configuration of the size of the network used in training time may be adjusted, which allows for higher accelerations and different hardware constraints.



[[Category:G06T11/00]]
[[Category:G01R33/48]]
[[Category:G06N3/045]]
[[Category:G06T7/00]]
[[Category:CPC_G06T11/005]]