Abstract #3229

SENSing-SPICE: Integrating Parallel Imaging with Subspace-Based 3D 1H-MRSI

Bryan Clifford¹, Fan Lam², Qiegen Liu², Chao Ma², and Zhi-Pei Liang¹

¹Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ²Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States

We present a method which reduces the acquisition time of 3D 1H-MRSI through the integration of parallel imaging and subspace-based imaging. The proposed method enables a better combination of speed, resolution, and SNR than can be provided by parallel imaging or subspace-based imaging alone; however, the removal of nuisance signals from under-sampled MRSI data requires significantly higher reconstruction accuracy than in conventional parallel imaging applications. We solve this problem by incorporating spatial and spectral constraints as well as sensitivity encoding into a recently proposed Union-of-Subspace model. We demonstrate the effectiveness of our method using in vivo data of the brain.

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.