2.Seminar공고-정무경.ppt

바이오및뇌공학과 재학생께

아래와 같이 학과 특별세미나를 아래와 같이 안내하니
학생들의 많은 참여 바랍니다.

1. 일시:  11월 4일(월)  16:00시
2. 장소:  219호 강의실
3. 첨부:  세미나 초록(
4. 연사:  Moo Kyung Chung (Associate Professor of Univ. of Wisconsin-Madison)
5. 제목:  Computational Neuroanatomy: The Methods
6. Abstract

The brain morphology across the span of human aging is not uniform. Brain growth spurts during childhood are followed by a brief period of morphological stability as loss of brain volume begins in middle age. The advancement of magnetic resonance imaging (MRI) and diffusion tensor imagining (DTI) gives us new computational tools for the characterization
of such temporally varying brain morphology and this has emerged as the new field of computational neuroanatomy. The computational neuroanatomy utilizes various non-invasive brain imaging modalities in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations in macroscopic level. It usually deals with
computational problems arising from the quantification of within- and between-subject variations associated with the structure and the function of the human brain. Major challenges are caused by the massive amount of nonstandard high dimensional non-Euclidean imaging data that are difficult to analyze using standard techniques. This requires new
computational solutions in addressing more complex scientific hypotheses. In this lecture, we will overview the development in last twenty years in the field and discuss the limitations of the currently popular diffeomorphic frameworks. This lecture is based on my recent book titled Computational Neuroanatomy: The Method.