Z
Zhifei Wen
Researcher at University of Texas MD Anderson Cancer Center
Publications - 48
Citations - 2433
Zhifei Wen is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Magnetic field & Imaging phantom. The author has an hindex of 17, co-authored 48 publications receiving 2193 citations. Previous affiliations of Zhifei Wen include Stanford University.
Papers
More filters
Journal ArticleDOI
Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) : application with fast spin-echo imaging
Scott B. Reeder,Angel R. Pineda,Zhifei Wen,Ann Shimakawa,Huanzhou Yu,Jean H. Brittain,Garry E. Gold,Christopher H. Beaulieu,Norbert J. Pelc +8 more
TL;DR: Close agreement between theoretical and experimental results obtained from an oil–water phantom was observed, demonstrating that the iterative least‐squares decomposition method is an efficient estimator.
Journal ArticleDOI
Multicoil Dixon chemical species separation with an iterative least-squares estimation method.
Scott B. Reeder,Zhifei Wen,Huanzhou Yu,Angel R. Pineda,Garry E. Gold,Michael Markl,Norbert J. Pelc +6 more
TL;DR: This work describes a new approach to multipoint Dixon fat–water separation that is amenable to pulse sequences that require short echo time increments, such as steady‐state free precession (SSFP) and fast spin‐echo (FSE) imaging, and extends to multicoil reconstruction with minimal additional complexity.
Journal ArticleDOI
Cramér-Rao bounds for three-point decomposition of water and fat.
TL;DR: The Crámer–Rao bound (CRB) was used to study the variance of the estimates of the magnitude, phase, and field map by computing the maximum effective number of signals averaged (NSA) for any choice of echo time shifts.
Journal ArticleDOI
The future of image-guided radiotherapy will be MR guided.
TL;DR: This review covers where MR-guided RT might be heading in the near future, including the prevalence, history, advantages and disadvantages of these units, several varieties of which have been designed and installed in centres across the globe.
Journal ArticleDOI
Exploratory Study of 4D versus 3D Robust Optimization in Intensity Modulated Proton Therapy for Lung Cancer.
Wei Liu,Steven E. Schild,Joe Y. Chang,Zhongxing Liao,Yu Hui Chang,Zhifei Wen,Jiajian Shen,Joshua B. Stoker,Xiaoning Ding,Yanle Hu,Narayan Sahoo,Michael G. Herman,Carlos Vargas,Sameer R. Keole,William W. Wong,Martin Bues +15 more
TL;DR: 4D robust optimization produced significantly more robust and interplay-effect-resistant plans for targets with comparable dose distributions for normal tissues, and the benefits from 4D robust optimized plans were most obvious for the 2 typical stage III lung cancer patients.