Abstract #3555

Quantitative Susceptibility Mapping Artifact Reduction in Ex Vivo Tissue Specimens Using Adaptive Multi-Contrast Informed Regularization

Priya S Balasubramanian^1,2, Lingfei Guo^2,3, Weiyuan Huang^2,4, Ilhami Kovanlikaya², Alisa Ramineni⁵, Nector Garcia⁵, Benjamin Liechty⁵, Thanh Nguyen², Pascal Spincemaille², David Pisapia⁵, and Yi Wang²

¹Electrical and Computer Engineering, CORNELL UNIVERSITY, New York City, NY, United States, ²Department of Radiology, Weill Cornell Medicine, New York City, NY, United States, ³Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, Jinan, Shandong, China, ⁴Department of Radiology, Hainan General Hospital, Hainan Hospital Affiliated to Hainan Medical College, Hainan, China, ⁵Department of Pathology and Laboratory Medicine, Weill Cornell Medicine and New York Presbyterian Hospital, New York City, NY, United States

Synopsis

Quantitative susceptibility mapping (QSM) solves an ill-posed dipole field inversion problem and is prone to streaking and shadowing artifacts. This report presents a novel QSM reconstruction algorithm that effectively suppresses these artifacts using prior information from traditional MRI contrasts. The proposed algorithm was evaluated using ex vivo high resolution QSM of cerebellum and brainstem specimens using COSMOS as the reference method, showing improved QSM accuracy and artifact reduction and better agreement with myelin sensitive Luxol Fast Blue staining compared to conventional MEDI and MEDI-SMV methods.

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.