Article
Structurally Constrained Quantitative Susceptibility Mapping
Computer Science and Engineering Faculty Publications
Document Type
Abstract
Publication Date
5-1-2019
Disciplines
Abstract
In this study, a structurally constrained susceptibility reconstruction method, SCSWIM, is proposed. This method employs the unique contrast of STAGE imaging and segmented basal ganglia and vessels. It is tested on both simulated and in vivo human brain data. Evaluations show the improved reliability of the geometry information, reduced streaking artifacts, and increased accuracy of the susceptibilities of both basal ganglia and veins in the SCSWIM compared to other methods.
Citation Information
Sara Gharabaghi, Saifeng Liu, Ying Wang, Yongsheng Chen, et al.. "Structurally Constrained Quantitative Susceptibility Mapping" (2019) Available at: http://works.bepress.com/nasser_kashou/65/
Abstract from ISMRM 27th Annual Meeting.