Abstract #4809

Evaluating the Image Quality and Brain Microstructural Exploration of Mean Apparent Propagator-MRI—a Pilot Study

Yi Ling¹, Jun Lv², Mengdi Zhou³, Mengqi Su⁴, Yongquan Wang⁵, Wanyi Chen⁶, Kecan Wu⁷, Xianchang Zhang⁸, Qinglei Shi⁹, Xiang Wan¹⁰, and Zhaohui Liu³

¹Chinese University of Hong Kong (Shenzhen) School of Science and Engineering, Shenzhen, China, ²Changchun University of Science and Technology, Changchun, China, ³Department of Radiology, Capital Medical University, Beijing Tongren Hospital, Beijing, China, ⁴National University of Singapore School of Computing, Singapore, Singapore, Singapore, ⁵School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China, ⁶University of Wisconsin-Madison, United States, Madison, WI, United States, ⁷Zhengzhou University, Zhengzhou, China, ⁸MR Research Collaboration, Siemens Healthineers Ltd., Beijing, China, Beijing, China, ⁹Chinese University of Hong Kong (Shenzhen) School of Medicine, Shenzhen Research, Shenzhen, China, ¹⁰Shenzhen Research Institute of Big Data, People's Republic of China, Shenzhen, China

Synopsis

Keywords: Diffusion Modeling, biomarkers

Motivation: This study investigates optimized MAP-MRI methods (MAPL, CMAP, CMAPL) to enhance brain microstructure analysis, addressing limitations of signal sparsity and noise, which is crucial for detecting physiological and pathological changes.

Goal(s): This study aims to enhance MAP-MRI accuracy in detecting brain microstructural changes by comparing optimized methods.

Approach: We examined three MAP-MRI algorithms on MRI scans, assessing image quality through WSNR and subjective ratings, using ANOVA, Kruskal-Wallis, κ tests, and GRF-corrected t-tests.

Results: MAPL outperformed CMAP and CMAPL in image quality for RTOP, RTAP, MSD, and QIV mappings, effectively displaying bilateral dorsal visual pathways and regions linked to language, emotion, and decision-making.

Impact: This study highlights the strengths and weaknesses of the MAPL, CMAP, and CMAPL algorithms in image quality and ability to reflect brain microstructural changes, offering valuable insights for future research on brain pathology and physiological changes using DWI technology

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.