TY - GEN
T1 - Segmentation of touching cells using gradient flow tracking
AU - Li, Gang
AU - Liu, Tianming
AU - Nie, Jingxin
AU - Guo, Lei
AU - Wong, Stephen T.C.
PY - 2007
Y1 - 2007
N2 - The development of automated and robust computational algorithms for 3D cell segmentation remains challenging in situations where the cells are touching each other or connected together. In this paper, we present a novel automated method that aims to tackle the aforementioned challenges in the segmentation of clustered or connected 3D cells. We first diffuse the gradient vector field with an elastic deformable transform. Then, a gradient flow tracking procedure is performed for each voxel to find the corresponding center that the point flows to. All points that flow to the same center are grouped as a region. In this way, the boundaries between touching cells are formed naturally, and the touched cells are divided. Evaluation results from 3D image data of zebrafish and C. Elegant indicate good performance of the proposed method.
AB - The development of automated and robust computational algorithms for 3D cell segmentation remains challenging in situations where the cells are touching each other or connected together. In this paper, we present a novel automated method that aims to tackle the aforementioned challenges in the segmentation of clustered or connected 3D cells. We first diffuse the gradient vector field with an elastic deformable transform. Then, a gradient flow tracking procedure is performed for each voxel to find the corresponding center that the point flows to. All points that flow to the same center are grouped as a region. In this way, the boundaries between touching cells are formed naturally, and the touched cells are divided. Evaluation results from 3D image data of zebrafish and C. Elegant indicate good performance of the proposed method.
KW - Cell segmentation
KW - Elastic deformation transformation
KW - Gradient flow tracking
UR - http://www.scopus.com/inward/record.url?scp=36348945256&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=36348945256&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2007.356792
DO - 10.1109/ISBI.2007.356792
M3 - Conference contribution
AN - SCOPUS:36348945256
SN - 1424406722
SN - 9781424406722
T3 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
SP - 77
EP - 80
BT - 2007 4th IEEE International Symposium on Biomedical Imaging
T2 - 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Y2 - 12 April 2007 through 15 April 2007
ER -