[Abstract]

3D shape analysis seeks to uncover the fundamental geometric features of 3D objects. In neuroimaging, brain shape analysis plays a key role in understanding brain development, degeneration, and their links to cognitive and behavioral functions. However, the anatomical variability of the human brain poses significant challenges to traditional 3D shape analysis techniques. This talk will focus on brain shape processing techniques that utilize spherical mapping. By simplifying the brain’s complex geometry, spherical mapping can overcome challenges faced by traditional 3D shape analysis techniques. The produced spherical data can be applied to a wide range of tasks, including brain surface annotation, shape correspondence, and data augmentation. We will explore these processing techniques on spherical data in depth and conclude with a discussion on the challenges, opportunities, and future directions for research in brain shape analysis.

[Biography]

Ilwoo Lyu is an Assistant Professor of Computer Science and Engineering and the Graduate School of Artificial Intelligence at Pohang University of Science and Technology (POSTECH). Prior to joining POSTECH, he was an Assistant Professor at Ulsan National Institute of Science and Technology and a Research Assistant Professor of Electrical Engineering and Computer Science at Vanderbilt University. He received his Ph.D. in Computer Science from the University of North Carolina at Chapel Hill in 2017, MS and BS in Computer Science from Korea Advanced Institute of Science and Technology. His research interest intersects medical imaging, computer vision, computer graphics, and machine learning with a focus on developing novel algorithms for 3D shape analysis of complex shapes such as the human brain.