PUBLICATION

3-d zebrafish embryo image filtering by nonlinear partial differential equations

Authors
Rizzi, B., Campana, M., Zanella, C., Melani, C., Cunderlik, R., Kriva, Z., Bourgine, P., Mikula, K., Peyriéras, N., and Sarti, A.
ID
ZDB-PUB-071125-7
Date
2007
Source
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference   1(1): 6251-6254 (Journal)
Registered Authors
Peyriéras, Nadine, Rizzi, Barbara
Keywords
none
MeSH Terms
  • Algorithms
  • Animals
  • Artificial Intelligence
  • Computer Simulation
  • Embryo, Nonmammalian/cytology*
  • Humans
  • Image Enhancement/methods
  • Image Interpretation, Computer-Assisted/methods*
  • Imaging, Three-Dimensional/methods*
  • Microscopy, Confocal/methods*
  • Models, Biological
  • Pattern Recognition, Automated/methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal Processing, Computer-Assisted*
  • Zebrafish/anatomy & histology*
  • Zebrafish/embryology*
PubMed
18003450 Full text @ Conf. Proc. IEEE Eng. Med. Biol. Soc.
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.
Genes / Markers
Figures
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Antibodies
Orthology
Engineered Foreign Genes
Mapping