Authors: Gang Li; Lei Guo
Addresses: School of Automation, Northwestern Polytechnical University, Xi'an 710072, China. ' School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
Abstract: 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.
Keywords: 3D cell nuclei segmentation; surface flow tracking; surface field diffusion; image segmentation; surface mesh reconstruction; curvature information estimation; touching cell nuclei.
International Journal of Computational Biology and Drug Design, 2012 Vol.5 No.1, pp.66 - 74
Published online: 16 Mar 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article