Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy
Carnegie Mellon University · University of Pittsburgh Medical Center · +3 more institutions
Abstract
Diffusion MRI tractography has emerged as a useful and popular tool for mapping connections between brain regions. In this study, we examined the performance of quantitative anisotropy (QA) in facilitating deterministic fiber tracking. Two phantom studies were conducted. The first phantom study examined the susceptibility of fractional anisotropy (FA), generalized factional anisotropy (GFA), and QA to various partial volume effects. The second phantom study examined the spatial resolution of the FA-aided, GFA-aided, and QA-aided tractographies. An in vivo study was conducted to track the arcuate fasciculus, and two neurosurgeons blind to the acquisition and analysis settings were invited to identify false…
Citation impact
- FWCI
- 25.25
- Percentile
- 100%
- References
- 43
Authors
5- FYFang‐Cheng Yeh
Carnegie Mellon University
- TVTimothy Verstynen
Carnegie Mellon University
- YWYibao Wang
University of Pittsburgh Medical Center, Neurological Surgery
- JCJuan C. Fernandez‐Miranda
University of Pittsburgh Medical Center, Neurological Surgery
- WIWen‐Yih Isaac TsengCorresponding
National Taiwan University, National Taiwan University Hospital
Topics & keywords
- Tractography
- Imaging phantom
- Diffusion MRI
- Fractional anisotropy
- Computer science
- Artificial intelligence
- Biomedical engineering
- Nuclear medicine