TY - JOUR
T1 - Improving segmentation of 3D touching cell nuclei using flow tracking on surface meshes
AU - Li, Gang
AU - Guo, Lei
PY - 2012/3
Y1 - 2012/3
N2 - Automatic segmentation of touching cell nuclei in 3D microscopy images is of great importance in bioimage informatics and computational biology. This paper presents a novel method for improving 3D touching cell nuclei segmentation. Given binary touching nuclei by the method in Li et al. (2007), our method herein consists of several steps: surface mesh reconstruction and curvature information estimation; direction field diffusion on surface meshes; flow tracking on surface meshes; and projection of surface mesh segmentation to volumetric images. The method is validated on both synthesised and real 3D touching cell nuclei images, demonstrating its validity and effectiveness.
AB - Automatic segmentation of touching cell nuclei in 3D microscopy images is of great importance in bioimage informatics and computational biology. This paper presents a novel method for improving 3D touching cell nuclei segmentation. Given binary touching nuclei by the method in Li et al. (2007), our method herein consists of several steps: surface mesh reconstruction and curvature information estimation; direction field diffusion on surface meshes; flow tracking on surface meshes; and projection of surface mesh segmentation to volumetric images. The method is validated on both synthesised and real 3D touching cell nuclei images, demonstrating its validity and effectiveness.
KW - 3D cell nuclei segmentation
KW - surface field diffusion
KW - surface flow tracking
UR - http://www.scopus.com/inward/record.url?scp=84859063213&partnerID=8YFLogxK
U2 - 10.1504/IJCBDD.2012.045952
DO - 10.1504/IJCBDD.2012.045952
M3 - 文章
C2 - 22436299
AN - SCOPUS:84859063213
SN - 1756-0756
VL - 5
SP - 66
EP - 74
JO - International Journal of Computational Biology and Drug Design
JF - International Journal of Computational Biology and Drug Design
IS - 1
M1 - 45952
ER -