Journal
PATTERN RECOGNITION
Volume 75, Issue -, Pages 263-271Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2017.02.010
Keywords
Neuron tips; Neuron tracing; Adaptive ray-shooting model; Multistencils Fast Marching method
Funding
- National Natural Science Foundation of China [61301254]
- Hunan Provincial Natural Science Foundation of China [14JJ3069]
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3D neuron tips could be very good candidates of seeding points for neuron tracing applications. Previously, a ray-shooting model was proposed to detect the neuron tips by analyzing the intensity distribution of the neighborhood around the tip candidates. However, the length of the shooting rays and the number of how many z-slices should be taken into account in this model are fixed empirical numbers, so it cannot handle challenging dataset where the diameter of the neuron varies much. In this paper, we propose an adaptive ray-shooting model by changing the length of the shooting rays and the number of adjacent slices according to the local diameter of the neuron obtained by the Multistencils Fast Marching (MSFM) method. Compared with the previous work, the experiments results show that the proposed method could improve the detection accuracy rate by about 10% in challenging datasets. (C) 2017 Elsevier Ltd. All rights reserved.
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