Name
Abstract | ||
|---|---|---|
Automatic 3D neuron reconstruction for very large 3D light microscopy images remains to be a challenge in neuroscience. Few existing neuron tracing algorithms can be used with commonly available computers (laptops, desktops, or workstations) to efficiently and accurately reconstruct a neuron in image stacks that are tens of gigabytes or greater. We introduce a new automatic tracing algorithm called Neuron Crawler, which works by first tracing a region of interest (e.g., around the soma), and then iteratively tracing in adjacent image tiles to grow the neuron structure in 3D to its termination point within the image. Our experimental results show that Neuron Crawler can achieve reconstruction accuracy that is comparable to several state-of-theart algorithms, but with much less computational cost. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) | 3D neuron reconstruction, large-scale image, Neuron Crawler, all-path-pruning |
Field | DocType | ISSN |
Computer science,Memory management,Artificial intelligence,Large neuron,Tracing,Iterative reconstruction,Computer vision,Soma,Pattern recognition,Algorithm,Workstation,Region of interest,Web crawler | Conference | 1945-7928 |
Citations | PageRank | References |
7 | 0.50 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Zhou | 1 | 152 | 10.11 |
| Staci A. Sorensen | 2 | 7 | 0.50 |
| Hanchuan Peng | 3 | 3930 | 182.27 |