Meeting Banner
Abstract #1387

Susceptibility Relaxation based Optimization for Visualization of the Central Vein Sign in Multiple Sclerosis Using Multi-Echo Gradient Echo

Jiahao Li1, Weiyuan Huang2, Xianfu Luo2, Thanh D. Nguyen2, Susan A. Gauthier2, Pascal Spincemaille2, and Yi Wang1,2
1Biomedical Engineering, Cornell University, Ithaca, NY, United States, 2Radiology, Weill Cornell Medicine, New York, NY, United States

The central vein sign (CVS) has been suggested as a potential biomarker for multiple sclerosis (MS) lesion detection and differential diagnosis. A major hurdle for clinical investigation of CVS of MS lesion is the lack of high-quality visualization on current MRI. In this work, we propose a Susceptibility Relaxation based Optimization (SRO) method that uses routinely acquired multi-echo gradient echo magnitude and phase data to generate an image with optimal CVS contrast while preserving lesion signal. Preliminary qualitative and quantitative results demonstrate that SRO provides superior MS lesion and CVS detection compared to prior methods.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here