Abstract #0928

A deep learning framework for cardiac self-gating in free-running radial 4D flow MRI

Mariana B.L. Falcão¹, Giulia M.C. Rossi¹, Jonas Richiardi¹, Xavier Sieber¹, Pierre Monney², Tobias Rutz², Milan Prša³, Estelle Tenisch¹, Anna Giulia Pavon⁴, Panagiotis Antiochos², Matthias Stuber^1,5, and Christopher W. Roy¹

¹Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ²Service of Cardiology, Centre de Resonance Magnétique Cardiaque (CRMC), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ³Woman- Mother- Child Department, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ⁴Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland, ⁵Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

Synopsis

Keywords: Flow, Cardiovascular, Cardiac signal extractionSelf-gating (SG) techniques improve the ease-of-use of cardiac MR by deriving cardiac signals from the data itself, obviating the need for ECG lead placement. Nonetheless, unpredictable shifts between the features of SG signals and the conventionally used R-wave peaks from ECG might hamper a direct link of reconstructed image frames with physiology. In this work, we developed a fully convolutional neural network to predict R-wave peak timepoints from SG imaging readouts in free-running radial 4D flow data, and provided a proof-of-concept of the usability of such learned R-wave peak timepoints for reconstructing cardiac-resolved 4D flow images.

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.