11 September 2015 Directional ratio based on parabolic molecules and its application to the analysis of tubular structures
Author Affiliations +
Abstract
As advances in imaging technologies make more and more data available for biomedical applications, there is an increasing need to develop efficient quantitative algorithms for the analysis and processing of imaging data. In this paper, we introduce an innovative multiscale approach called Directional Ratio which is especially effective to distingush isotropic from anisotropic structures. This task is especially useful in the analysis of images of neurons, the main units of the nervous systems which consist of a main cell body called the soma and many elongated processes called neurites. We analyze the theoretical properties of our method on idealized models of neurons and develop a numerical implementation of this approach for analysis of fluorescent images of cultured neurons. We show that this algorithm is very effective for the detection of somas and the extraction of neurites in images of small circuits of neurons.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Demetrio Labate, Demetrio Labate, Pooran Negi, Pooran Negi, Burcin Ozcan, Burcin Ozcan, Manos Papadakis, Manos Papadakis, } "Directional ratio based on parabolic molecules and its application to the analysis of tubular structures", Proc. SPIE 9597, Wavelets and Sparsity XVI, 95970L (11 September 2015); doi: 10.1117/12.2186259; https://doi.org/10.1117/12.2186259
PROCEEDINGS
9 PAGES


SHARE
Back to Top