@inproceedings{25eaf70c3dae48a5a4d1fabc3bf6ef74,
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.",
author = "Xing An and Zhiwen Liu and Yonggang Shi and Ning Li and Yalin Wang and Joshi, {Shantanu H.}",
note = "Funding Information: ★This work is sponsored by the National Natural Science Foundation of China (60971133) and the China Scholarship Council. anxing@bit.edu.cn Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2012.; 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 ; Conference date: 01-10-2012 Through 05-10-2012",
year = "2012",
doi = "10.1007/978-3-642-33415-3_42",
language = "English (US)",
isbn = "9783642334146",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "340--347",
editor = "Nicholas Ayache and Herve Delingette and Polina Golland and Kensaku Mori",
booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings",
}