Meeting Banner
Abstract #4985

Recovering image orientation for unconventional acquisition plane with deep learning algorithm: cardiac magnetic resonance case.

Habib Rebbah1 and Timothé Boutelier1
1Research & Innovation, Olea Medical, La Ciotat, France

Synopsis

Keywords: Myocardium, Segmentation

Deducing the orientation main view of an image from the DICOM information could be complicated especially for unconventional image plane as for cardiac MR. We explore here the feasibility of deducing the orientation of the image based on CNN approach.

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.

Keywords