Meeting Banner
Abstract #3619

Real-time Registration In K-space For Cardiac Cine MR Of The Fetal Heart

Aya Ghoul1, Christopher W. Roy2, Sarah Nordmeyer3, Sergios Gatidis1,4, and Thomas Küstner1
1Medical Image And Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tuebingen, Germany, 2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Tuebingen, Germany, 4Department of Radiology, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Motion Correction, Machine Learning/Artificial Intelligence, Cardiovascular, Heart, Artifacts, Image Reconstruction

Motivation: Fetal cardiac MRI demands high spatial and temporal resolution but is hindered by complex motion. Conventional image-based registration approaches, commonly used for motion correction, remain slow and susceptible to artifacts.

Goal(s): We aim to estimate bulk motion from real-time radial fetal cardiac MR to facilitate cardiac synchronization and enable motion-robust imaging of the fetal heart.

Approach: We perform in-plane registration from highly undersampled k-space data achieving a temporal resolution of up to 45 ms using our developed LAPANet.

Results: Our framework provides accurate motion estimates despite accelerated data, enhances structural delineation, and outperforms image-based registrations in real-time motion correction while being 3750× faster.

Impact: Our method reliably estimates planar bulk fetal movement and periodic maternal respiration from highly undersampled radial k-spaces in real-time acquisitions. This eliminates prior reconstruction for registration purposes and dealing with residual artifacts, enabling more efficient and motion-robust fetal heart imaging.

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