Meeting Banner
Abstract #4001

One-stop Fine-grained Brain Iron Quantification Based on Mutual Transformer

Junjie He1,2, Bangkang Fu3, Zhenliang Xiong1, Lisha Nie4, Yunsong Peng1, and Rongpin Wang1
1Department of Radiology, Guizhou Provincial People’s Hospital, Guiyang, China, 2College of Computer Science and Technology, Guizhou University, Guiyang, China, 3Medical College, Guizhou University, Guiyang, China, 4GE HealthCare MR Research, Beijing, China

Synopsis

Keywords: AI/ML Image Reconstruction, AI/ML Image Reconstruction, Brain iron quantification, Quantity susceptibility mapping

Motivation: Brain iron imbalance contributes to neurological disorders, and precise quantification across regions is essential. Traditional methods suffer from registration errors that reduce measurement accuracy.

Goal(s): This study aims to develop a one-stop fine-grained brain iron quantification model covering 115 brain regions, improving precision through multi-modal integration.

Approach: A mutual Transformer model (mT-QSM) integrates QSM and T1-weighted data to perform simultaneous QSM reconstruction, brain segmentation, and iron quantification, reducing reliance on complex registration steps.

Results: The mT-QSM achieved state-of-the-art reconstruction with fewer artifacts, and iron quantification across 115 regions showed high consistency with the gold standard.

Impact: The proposed mutual Transformer and research framework can also be applied to other data fusion research, such as combining ASL or BOLD for one-stop analysis of cerebral blood flow or blood oxygenation, offering broad clinical application prospects.

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