Meeting Banner
Abstract #0871

Improved Reconstruction for High-Resolution QSM from Highly Sparse Unsuppressed Water Signals of 1H-MRSI Scans

Ziwen Ke1, Yibo Zhao2,3, Yudu Li2,4, Rong Guo2,5, Zhi-Pei Liang2,3, and Yao Li1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Siemens Medical Solutions USA, Urbana, IL, United States

Synopsis

Keywords: Image Reconstruction, Quantitative Susceptibility mappingThe SPICE technique has demonstrated a unique capability of simultaneous QSM/MRSI. To achieve fast high-resolution QSM, highly sparse sampling of (k,t)-space is used in SPICE data acquisition, which poses a significant challenge in image reconstruction. In this work, we solved this problem using a subspace-assisted parallel imaging technique with learned image priors. The proposed method has been validated using experimental data, producing high-quality QSM maps from the unsuppressed water signals of 1H-MRSI scans.

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