Mitigating Bundle Tractography Variability with Streamline Density Normalization (SDNorm) & Implications for Tractometry
Tue, Oct 21
|Virtual Event
This presentation covers the following points: 1. Streamline Density Normalization (SDNorm) method and demo; 2. Using SDNorm for improving reproducibility of bundle reconstructions and tractometry profiles; 3. Bundle segmentation pipeline, quality control and visualization.
Time & Location
Oct 21, 2025, 8:30 a.m. – 9:30 a.m. PDT
Virtual Event
Guests
About the event
Topic: Mitigating Bundle Tractography Variability with Streamline Density Normalization (SDNorm) and Implications for Tractometry
Time: October 21, 2025 8:30AM Pacific Time / October 21, 2025 11:30AM EDT / October 21, 2025 17:30PM CET / October 21, 2025 11:30PM CST (timezones)
The detailed Zoom meeting information will be provided in the email upon completion of your registration with your email address.
Speaker: Yixue Feng (PhD candidate at the University of Southern California)
Yixue Feng is a neuroscience PhD candidate advised by Dr. Paul Thompson at the Imaging Genetics Center at the University of Southern California. Her research involves diffusion MRI analysis for mapping micro- and macro-structural changes of white matter tracts in neurodegenerative diseases. She is also interested in developing and applying machine learning and AI methods for large-scale multi-site neuroimaging data to promote reproducibility and reliability of results.