Median-based robust algorithms for tracing neurons from noisy confocal microscope images.

This paper presents a method to exploit rank statistics to improve fully automatic tracing of neurons from noisy digital confocal microscope images. Previously proposed exploratory tracing (vectorization) algorithms work by recursively following the neuronal topology, guided by responses of multiple...

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Bibliographic Details
Published in:	IEEE Transactions on information technology in biomedicine 7, 4 (2003).
Main Author:	Al-Kofahi, K.A
Format:	Article
Language:	English
Subjects:	Biomedical image processing. Correlation kernels. Exploratory tracing. Fully automatic tracing. Graph-theoretic representation. Manually derived tracing. Median-based robust algorithms. Microfabricated surfaces. Multiple directional correlation kernels. Nano-fabricated structures. Neuron tracing. Neuronal growth. Neuronal topology. Noisy confocal microscope images. Noisy digital confocal microscope images. Personal computer. Pharmaceutical industry. Precision metrics. Rank statistics. Recall metrics. Size measurements. Tracing algorithm. Tracing precision. Vectorization algorithms.