Abstract #4929

Accelerated Cardiac MR Imaging with Inline Cascaded Parallel Imaging and Generative Adversarial Neural Network (PI-GAN) Framework

Siyeop Yoon¹, Xiaoying Cai^1,2, Eiryu Sai¹, Salah Assana¹, Amine Amyar¹, Kelvin Chow³, Amanda Paskavitz¹, Julia Cirillo¹, Warren J. Manning¹, and Reza Nezafat¹

¹Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, ²Siemens Medical Solutions USA, Inc., Boston, MA, United States, ³Siemens Medical Solutions USA, Inc., Chicago, IL, United States

Synopsis

We developed and evaluated an inline cascaded parallel imaging and generative adversarial network for cardiac MRI. The preliminary results show excellent image quality of the cardiac cine images in four heat-beat.

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.