Meeting Banner
Abstract #2975

Improved Brachial Plexus and C-Spine DTI using Deep Learning-based Phase Correction

Patricia Lan1, Xinzeng Wang2, and Arnaud Guidon3
1GE HealthCare, Menlo Park, CA, United States, 2GE HealthCare, Houston, TX, United States, 3GE HealthCare, Boston, MA, United States

Synopsis

Keywords: Neurography, MSK, diffusion, brachial plexus, c-spine, DTI

Motivation: Diffusion tensor imaging (DTI) provides valuable functional information for diagnosing various pathologies affecting the brachial plexus and c-spine. However, it is SNR-starved due to the diffusion encoding gradients and long TE.

Goal(s): To evaluate a DL-based phase correction (DLPC) method that reduces the noise floor by enabling robust complex averaging as well as improves image sharpness.

Approach: Volunteer brachial plexus and c-spine data were acquired with DTI sequence and reconstruction was performed offline.

Results: The DTI data processed with DLPC resulted in lower noise floor and sharper images, which led to improved postprocessing such as cleaner fractional anisotropy map and fiber tractography.

Impact: When combined with MR neurography, DTI of the brachial plexus and c-spine with reduced noise and increased sharpness can help radiologists with differential diagnosis of pathologies resulting from nerve damage.

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