Modeling dynamic cellular morphology in images

Authors:
Xing An;Zhiwen Liu;Yonggang Shi;Ning Li;Yalin Wang;Shantanu H. Joshi
Affiliations:
School of Information and Electronics, Beijing Inst. of Tech., Beijing, China, School of Computer Sci. and Engineering, Arizona State University, Tempe;School of Information and Electronics, Beijing Inst. of Tech., Beijing, China;School of Information and Electronics, Beijing Inst. of Tech., Beijing, China;Department of General Surgery, Beijing You'An Hospital, Beijing, China;School of Computer Sci. and Engineering, Arizona State University, Tempe;Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA
Venue:
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2012

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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.