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Abstract #3555

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

Priya S Balasubramanian1,2, Lingfei Guo2,3, Weiyuan Huang2,4, 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


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.

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