Computing Maximum Association Graph in Microscopic Nucleus Images

摘要：

In this paper, we study the problem of finding organization patterns of chromosomes inside the cell nucleus from microscopic nucleus images. Emerging evidence from cell biology research suggests that global chromosome organization has a vital role in fundamental cell processes related to gene expression and regulation. To understand how chromosome territories are neighboring (or associated) to each other, in this paper we present a novel technique for computing a common association pattern, represented as a Maximum Association Graph (MAG), from the nucleus images of a population of cells. Our approach is based on an interesting integer linear programming formulation of the problem and utilizes inherent observations of the problem to yield optimal solutions. A two-stage technique is also introduced for producing near optimal approximations for large data sets.

作者: Branislav Stojkovic Yongding Zhu Jinhui Xu Andrew Fritz Michael J.Zeitz Jaromira Vecerova Ronald Berezney

作者单位: Department of Computer Science and Engineering,State University of New York at Buffalo Department of Biological Sciences, State University of New York at Buffalo Stanford Medical School, 3801 Miranda Avenue, Palo Alto, CA 94304

会议类型: 国际会议

会议名称: The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention(第13届医学影像计算与计算机辅助介入国际会议 MICCAI 2010)

会议地点: 北京

会议语种:英文

页码: 530-537

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）