Abstract #4440

Learning-Based Motion Correction for High-Resolution 3D MRSI of the Brain without Water Suppression

Huixiang Zhuang¹, Ziwen Ke^1,2, Yibo Zhao², Rong Guo^2,3, Yudu Li^2,4, Wen Jin^2,4, Zijun Cheng¹, Yaoyu Zhang¹, Weijun Tang⁵, Miao Zhang⁶, Zhi-Pei Liang^2,4, and Yao Li^7,8

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, ³Siemens Medical Solutions USA, Inc., St. Louis, MO, United States, ⁴Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, ⁵Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China, ⁶Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁷National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ⁸Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China

Synopsis

Keywords: Motion Correction, AI/ML Image Reconstruction, Spectroscopy

Motivation: MRSI scans are susceptible to motion artifacts due to long acquisition times. The problem is more serious in non-water-suppressed MRSI experiments, where head motion makes the removal of water and lipid signals more difficult.

Goal(s): To develop an effective method for correcting head motion in high-resolution, non-water-suppressed MRSI scans.

Approach: We propose a novel learning-based motion correction method that incorporates SENSE-based regularization, internal priors (spatial sensitivity and smoothness) and external priors (multi-reference motion-free images).

Results: The proposed method has been validated on both simulation data and in-vivo data from AD and stroke patients with involuntary head motions, producing high-quality water and metabolite images.

Impact: A novel motion correction method has been developed for high-resolution, non-water-suppressed MRSI of the brain. This method has the potential to significantly improve the robustness and clinical applicability of non-water-suppressed MRSI.

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.