3-D Zebrafish Embryo Image Filtering by Nonlinear Partial Differential Equations

Author

Rizzi, B. ; Campana, M. ; Zanella, C. ; Melani, C. ; Cunderlik, R. ; Kriva, Z. ; Bourgine, P. ; Mikula, K. ; Peyrieras, N. ; Sarti, A.

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

6251

Lastpage

6254

Abstract

We discuss application of nonlinear PDE based methods to filtering of 3-D confocal images of embryogenesis. We focus on the mean curvature driven and the regularized Perona-Malik equations, where standard as well as newly suggested edge detectors are used. After presenting the related mathematical models, the practical results are given and discussed by visual inspection and quantitatively using the mean Hausdorff distance.

Keywords

biomedical optical imaging; filtering theory; image denoising; medical image processing; partial differential equations; 3D confocal images; 3D zebrafish embryo image filtering; edge detectors; embryogenesis; mean Hausdorff distance; nonlinear partial differential equation; regularized Perona-Malik equation; visual inspection; Biomedical imaging; Detectors; Embryo; Filtering; Filters; Image edge detection; Image processing; Mathematical model; Nonlinear equations; Partial differential equations; Algorithms; Animals; Artificial Intelligence; Computer Simulation; Embryo, Nonmammalian; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Microscopy, Confocal; Models, Biological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Zebrafish;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353784

Filename

4353784