Uploaded April 2016 | Updated September 2026, 7 hours ago
This talk was given by undergraduate Haiwei Chen during the 10th Annual Computer Science Undergraduate Research Symposium in 2016. Haiwei‘s research was supervised by Dr. Martin Styner.
“A Framework for Diffusion Fiber-based Analysis of T1w/T2w Ratio Map”
The cerebral white matter in human brain develops from a mostly non-myelinated state to a nearly fully mature white matter myelination within the first few years of life. The study of myelination is of interests in a number of brain development studies. High resolution T1w/T2w ratio maps are believed to be effective in quantitatively estimating myelin content. We propose the use of a fiber-tract-based analysis of such T1w/T2w ratio data, as it is allowed to separate fiber bundles that regional analysis imprecisely groups together and associate effects to specific tracts rather than large, broad regions. We developed an intuitive tool to facilitate such fiber-based studies of T1w/T2w ratio maps. Via its GUI the tool is accessible to non-technical users. The framework uses calibrated T1w/T2w ratio maps and a prior fiber atlas as an input to generate profiles by an adapted version of the UNC atlas-based fiber analysis toolkit that is able to handle non-diffusion data. The resulting fiber profiles are used in a statistical analysis that performs along tract functional statistical analysis. We applied this approach to a study of neonate, early brain development. Results: A publicly available tool for the fiber based analysis of T1w/T2w ratio maps has been implemented and tested on a study of brain development.
Haiwei Chen is a senior at UNC majoring in computer science and sociology. He works with Dr. Martin Styner in the Neuro Image Research and Analysis Laboratories. His research interests lie in the field of computer vision. He plans to apply to a doctoral program next year to further explore the field.
cs.unc.edu/academics/undergraduate/symposium/symposium-2016/
This talk was given by undergraduate Haiwei Chen during the 10th Annual Computer Science Undergraduate Research Symposium in 2016. Haiwei‘s research was supervised by Dr. Martin Styner.
“A Framework for Diffusion Fiber-based Analysis of T1w/T2w Ratio Map”
The cerebral white matter in human brain develops from a mostly non-myelinated state to a nearly fully mature white matter myelination within the first few years of life. The study of myelination is of interests in a number of brain development studies. High resolution T1w/T2w ratio maps are believed to be effective in quantitatively estimating myelin content. We propose the use of a fiber-tract-based analysis of such T1w/T2w ratio data, as it is allowed to separate fiber bundles that regional analysis imprecisely groups together and associate effects to specific tracts rather than large, broad regions. We developed an intuitive tool to facilitate such fiber-based studies of T1w/T2w ratio maps. Via its GUI the tool is accessible to non-technical users. The framework uses calibrated T1w/T2w ratio maps and a prior fiber atlas as an input to generate profiles by an adapted version of the UNC atlas-based fiber analysis toolkit that is able to handle non-diffusion data. The resulting fiber profiles are used in a statistical analysis that performs along tract functional statistical analysis. We applied this approach to a study of neonate, early brain development. Results: A publicly available tool for the fiber based analysis of T1w/T2w ratio maps has been implemented and tested on a study of brain development.
Haiwei Chen is a senior at UNC majoring in computer science and sociology. He works with Dr. Martin Styner in the Neuro Image Research and Analysis Laboratories. His research interests lie in the field of computer vision. He plans to apply to a doctoral program next year to further explore the field.
cs.unc.edu/academics/undergraduate/symposium/symposium-2016/
