title: Modeling dynamic cellular morphology in images.
abstract: This paper presents a geometric method for modeling dynamic features of cells in image sequences. The morphological changes in cellular membrane boundaries are represented as sequences of parameterized contours. These sequences are analyzed as paths on a shape space equipped with an invariant metric, and matched using dynamic time warping. Experimental results show high sensitivity of the proposed dynamic features to the morphological changes observed in lymphocytes of healthy mice after undergoing skin transplantation when compared with standard representation methods and shape features.
authors.affiliation: School of Information and Electronics, Beijing Inst. of Tech., Beijing, China.
authors.forename: Xing
authors.initials: X
authors.lastname: An
authors.forename: Zhiwen
authors.initials: Z
authors.lastname: Liu
authors.forename: Yonggang
authors.initials: Y
authors.lastname: Shi
authors.forename: Ning
authors.initials: N
authors.lastname: Li
authors.forename: Yalin
authors.initials: Y
authors.lastname: Wang
authors.forename: Shantanu H
authors.initials: SH
authors.lastname: Joshi
mesh_terms: D000465:Algorithms; D000818:Animals; D048430:Cell Shape; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted; D008214:Lymphocytes / Q000166:cytology*; D051379:Mice; D008807:Mice, Inbred BALB C; D008810:Mice, Inbred C57BL; D015233:Models, Statistical; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods; D016038:Skin Transplantation / Q000379:methods*