Mouse Brain Image Analysis
Presenter(s)
Aditya Shrivastava
Files
Description
For the study of brain function and behavior, the mouse brain serves as a valuable model system. Methods to accurately analyze the complex signals produced by the mouse brain are becoming increasingly important due to developments in neuroimaging and optogenetics. Techniques that can take the information contained in mouse brain signals and turn it into useful biological insights are especially needed. In brain analysis, image segmentation is commonly used for measuring and visualizing the brain's anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image-guided interventions. In the last few decades, various segmentation techniques of different accuracy and degree of complexity have been developed and reported in the literature. In this work, we focus on dataset collection and computational model for mouse brain image segmentation.
Publication Date
4-17-2024
Project Designation
Graduate Research
Primary Advisor
Van Tam Nguyen, Aaron S. Sathyanesan
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium, College of Arts and Sciences
Institutional Learning Goals
Practical Wisdom
Recommended Citation
"Mouse Brain Image Analysis" (2024). Stander Symposium Projects. 3427.
https://ecommons.udayton.edu/stander_posters/3427
Comments
Presentation: 2:00-2:20, LTC Studio