Meeting Banner
Abstract #4614

AI-assisted Collaborative Reconstruction for Highly-accelerated DW-PROPELLER-EPI

Hailin Xiong1, Liyuan Liang1,2, Shihui Chen1,2, Xiaorui Xu3, Chenglang Yuan1, Yi Li1, Tianbaige Liu1, and Hing-Chiu Chang1,2
1The Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China, 2Multi-Scale Medical Robotics Center, Hong Kong, China, 3Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Image Reconstruction, PROPELLER-EPI, AI/ML Image Reconstruction, brain DWI

Motivation: Diffusion-weighted PROPELLER-EPI (DW-PROPELLER-EPI) can achieve higher resolution for DWI compared to single-shot EPI, but it suffers from long scanning time and image blurring induced by geometric distortion unless accelerating the acquisition of each blade.

Goal(s): To reduce noise amplification and improve the measurement of inter-shot phase variations related to highly-accelerated DW-PROPELLER-EPI.

Approach: We proposed an AI-assisted Collaborative Reconstruction for PROPELLER-EPI using POCSMUSE (AI-CORPUSE) framework that can 1) reduce the noise amplification, and 2) improve inter-shot phase correction under high acceleration.

Results: This method can accelerate the acquisition of DW-PROPELLER-EPI and achieve brain DWI with higher image quality.

Impact: High geometric fidelity and high-resolution brain DWI with reasonable scan time may benefit clinical applications and neuroscience research.

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