Meeting Banner
Abstract #1676

Diffusion MRI of the liver with Optimized Slice-specific, Liver-specific Shimming

Aidan Tollefson1,2, Garrett Fullerton1,2, Patricia Lan3, Arnaud Guidon4, Gaohong Wu5, Ali Pirasteh1,2, and Diego Hernando1,2
1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3GE HealthCare, Menlo Park, CA, United States, 4GE HealthCare, Boston, MA, United States, 5GE HealthCare, Waukesha, WI, United States

Synopsis

Keywords: Artifacts, AI/ML Software

Motivation: Diffusion MRI of the liver has important clinical and research applications, but is often affected by unsuppressed fat, poor water excitation, and image distortions due to shimming challenges.

Goal(s): To optimize fat suppression, signal, and distortions for liver DWI.

Approach: Slice-specific chemical shift-encoded (CSE) data-informed optimization of shims is combined with liver object detection, and prospectively evaluated in 3 subjects imaged at 3T.

Results: Improved fat suppression, water signal excitation, and reduced distortion were observed for slice-specific CSE-guided optimized shimming that prioritized liver regions.

Impact: DWI of the abdomen with reliable fat suppression is demonstrated in challenging slices by optimizing for liver regions when using a slice-specific shimming approach. This combined method may enable improved detection and staging of cancer in the abdomen.

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