Meeting Banner
Abstract #3223

An Adaptive Dual Degradation Diffusion Model for Controllable 5T SWI Synthesis from 3T MRI

Yi An1, Chang Liu2, Wenjie Zhao1, Yifei Dong3, Yizhou Jiang1, Xiaopeng Song4, Dong Liang1, Hairong Zheng1, and Zhanli Hu1
1Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 2Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China, 3Center for Optoelectric Engineering Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, 4United Imaging Healthcare Advanced Technology Research Institute, Shanghai, China

Synopsis

Keywords: AI Diffusion Models, Diffusion Modeling, Susceptibility-Weighted Imaging, 5T SWI Synthesis from 3T MRI

Motivation: With higher resolution, 5T MRI reveals anatomical details that 3T images cannot capture, enhancing diagnostic accuracy. However, due to the high cost and limited availability of 5T equipment, obtaining 5T SWI images is challenging.

Goal(s): We propose an adaptive dual degradation diffusion model for synthesizing 5T SWI from 3T by learning image priors and degradation patterns.

Approach: Our model utilizes two diffusion processes that model degradation diffusion and noise diffusion specifically to enhance control, detail, and robustness in synthesis.

Results: Experimental results demonstrate the superiority and reliability of our method compared to other deep learning approaches.

Impact: The method has shown effectiveness in enhancing SWI images, providing detailed results for brain microbleed evaluation and neurological assessments. These findings indicate that the proposed model has significant potential for advancing clinical applications in brain-related 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