UCLA Brain Mapping Center

Publications

Modeling dynamic cellular morphology in images.

An X; Liu Z; Shi Y; Li N; Wang Y; Joshi SH;
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2012-Dec; 15(340-7):Pt 1
 
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.
 
PMID: 23285569    doi: 10.3389/fninf.2012.00011
 

BMAP Author