Meeting Banner
Abstract #1102

Nine-Fold Acceleration of Multi-Parametric Imaging of the Brain through Joint Sparsity regularized Wave-SPIRiT reconstruction

Sen Jia1, Lixian Zou1, Zhilang Qiu2, Yongquan Ye3, Haifeng Wang1, Chao Zou1, Ye Li1, Jian Xu3, Xin Liu1, Hairong Zheng1, and Dong Liang1,4
1Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Shenzhen, China, 2Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 3UIH America, Houston, TX, United States, 4Medical AI Research Center, Shenzhen Institutes of Advanced Technology, Shenzhen, China

Synopsis

Keywords: Quantitative Imaging, Relaxometry, SusceptibilityThe MULTIPLEX technique could quantify the T1/T2*/PD/Susceptibility maps in a single 3D scan but leads to a long scan time due to the dual-TR, dual-flip angle, and multi-echo signal acquisition strategy. Wave-CAIPI acceleration with SENSE reconstruction is limited by noise amplification at high acceleration factors and is susceptible to artifacts from inaccurate coil sensitivity maps. This work develops a L1 regularized Wave-SPIRiT reconstruction to achieve 9-fold accelerated MULTIPLEX imaging in 3 minutes. The L1 regularized coil-by-coil reconstruction also benefits the Multi-Dimensional Integration (MDI) quantification to achieve comparable accuracy and robustness as the reference scan with 55% reduction of scan time.

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