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3D dendrite reconstruction and spine identification.
- Source :
-
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2008; Vol. 11 (Pt 2), pp. 18-26. - Publication Year :
- 2008
-
Abstract
- In neuron-biology, 3D neuron dendrite reconstruction followed by spine identification is indispensable for the study of neuronal functions and biophysical properties. In this paper, we propose an automatic dendrite reconstruction method to with a surface representation of the neuron on the basis of a novel level set approach. Our novel level set approach can effectively tackle the problem of segmentation under blurring and intensity in-homogeneity. Then spines are detected based on dendrite medial axis and a label-based thinning strategy is proposed to accurately extract the dendrite skeleton for spine identification. Experimental results reveal that our method works well.
- Subjects :
- Animals
Dendritic Spines ultrastructure
Humans
Image Enhancement methods
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Artificial Intelligence
Dendrites ultrastructure
Image Interpretation, Computer-Assisted methods
Imaging, Three-Dimensional methods
Microscopy, Confocal methods
Pattern Recognition, Automated methods
Subjects
Details
- Language :
- English
- Volume :
- 11
- Issue :
- Pt 2
- Database :
- MEDLINE
- Journal :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
- Publication Type :
- Academic Journal
- Accession number :
- 18982585
- Full Text :
- https://doi.org/10.1007/978-3-540-85990-1_3