S
Saifeng Liu
Researcher at McMaster University
Publications - 33
Citations - 1705
Saifeng Liu is an academic researcher from McMaster University. The author has contributed to research in topics: Quantitative susceptibility mapping & Susceptibility weighted imaging. The author has an hindex of 18, co-authored 33 publications receiving 1283 citations. Previous affiliations of Saifeng Liu include Wayne State University.
Papers
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Journal ArticleDOI
Quantitative susceptibility mapping: current status and future directions.
E. Mark Haacke,E. Mark Haacke,E. Mark Haacke,Saifeng Liu,Sagar Buch,Weili Zheng,Dongmei Wu,Yongquan Ye +7 more
TL;DR: This review evaluates the entire process of QSM from data acquisition to individual data processing steps and concludes that QSM holds great promise in quantifying iron and becoming a standard clinical tool.
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Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging
TL;DR: It is concluded that magnetic susceptibility can provide a direct and reliable quantitative measurement of iron content and that it can be used clinically at least in regions with high iron content.
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Susceptibility-weighted imaging: current status and future directions.
Saifeng Liu,Sagar Buch,Yongsheng Chen,Hyun Seok Choi,Yongming Dai,Charbel Habib,Jiani Hu,Joon-Yong Jung,Yu Luo,David Utriainen,Meiyun Wang,Dongmei Wu,Shuang Xia,E. Mark Haacke +13 more
TL;DR: The source of cusp artifacts in phase images is investigated in detail, an improved multi‐channel phase data combination algorithm is provided and a few clinical applications of SWI are shown.
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Improving susceptibility mapping using a threshold‐based K‐space/image domain iterative reconstruction approach
Jin Tang,Saifeng Liu,Jaladhar Neelavalli,Yu Chung N Cheng,Sagar Buch,Ewart Mark Haacke,Ewart Mark Haacke +6 more
TL;DR: To improve susceptibility quantification, a threshold‐based k‐space/image domain iterative approach that uses geometric information from the susceptibility map itself as a constraint to overcome the ill‐posed nature of the inverse filter is introduced.
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STrategically Acquired Gradient Echo (STAGE) imaging, part I: Creating enhanced T1 contrast and standardized susceptibility weighted imaging and quantitative susceptibility mapping
TL;DR: STAGE imaging offers the potential to create a standardized brain imaging protocol providing four pieces of quantitative tissue property information and multiple types of qualitative information in just 5min.