Meeting Banner
Abstract #1194

High spatial resolution cardiac T1 mapping on 1.5T and 3T utilizing deep learning-based image reconstruction

Daniel Amsel1,2, Jens Wetzl2, Daniel Giese2, Rolf Gebker3, Christoph Tillmanns3, Andreas Lingg4, Patrick Krumm4, Kelvin Chow5, and Thomas Küstner1
1Medical Image and Data Analysis (MIDAS.lab), University of Tuebingen, Tuebingen, Germany, 2Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany, 3Diagnostikum, Berlin, Germany, 4Universtity Hospital Tuebingen, Tuebingen, Germany, 5Siemens Healthcare Ltd, Calgary, AB, Canada

Synopsis

Keywords: AI/ML Image Reconstruction, Tissue Characterization

Motivation: MOLLI T1 mapping of the heart has limited spatial resolution due to the limitation of acquiring inversion recovery images in single-shot acquisitions.

Goal(s): To increase the spatial resolution of T1 maps using k-space undersampling and reconstruction with a dedicated neural network.

Approach: Single-shot acquisitions are accelerated using a k-t sampling pattern (across TI images) and reconstructed using a variational network. A prototype reconstruction was integrated inline into the existing vendor software.

Results: The proposed method allows for higher resolution T1 maps up to (1.13 mm)2. Corresponding T1 values show good agreement with T1 values computed by a vendor sequence.

Impact: The acquisition of higher spatial resolution T1 maps is achieved for both 1.5T and 3T systems. The proposed method may improve the detection of small focal lesions without increasing the required scan time or breath hold duration.

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