Coupled Parametric Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Four-Color Theorem and Level Set Methods for Watershed Segmentation
International Journal of Computer Vision
Tracking multiple interacting subcellular structure by sequential Monte Carlo method
International Journal of Data Mining and Bioinformatics
Narrow band region-based active contours and surfaces for 2D and 3D segmentation
Computer Vision and Image Understanding
Joint Tracking of Cell Morphology and Motion
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Coupled Minimum-Cost Flow Cell Tracking
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Deconvolving Active Contours for Fluorescence Microscopy Images
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Tracking cell motion using GM-PHD
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
A nonconservative flow field for robust variational image segmentation
IEEE Transactions on Image Processing
3D automated nuclear morphometric analysis using active meshes
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Journal of Biomedical Imaging
Segmentation and registration based analysis of microscopy images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fast globally optimal segmentation of cells in fluorescence microscopy images
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy
Computer Methods and Programs in Biomedicine
3D mumford-shah based active mesh
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Cell segmentation using coupled level sets and graph-vertex coloring
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Robust tracking of migrating cells using four-color level set segmentation
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Generation of synthetic image datasets for time-lapse fluorescence microscopy
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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Cell migrations and deformations play essential roles in biological processes, such as parasite invasion, immune response, embryonic development, and cancer. We describe a fully automatic segmentation and tracking method designed to enable quantitative analyses of cellular shape and motion from dynamic three-dimensional microscopy data. The method uses multiple active surfaces with or without edges, coupled by a penalty for overlaps, and a volume conservation constraint that improves outlining of cell/cell boundaries. Its main advantages are robustness to low signal-to-noise ratios and the ability to handle multiple cells that may touch, divide, enter, or leave the observation volume. We give quantitative validation results based on synthetic images and show two examples of applications to real biological data.