#183:
R. Pelapur,
V. B. S. Prasath,
F. Bunyak,
O. V. Glinskii,
V. V. Glinsky,
V. H. Huxley, and
K. Palaniappan
36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC),
pgs. 4735-4738,
2014
Abstract,
Bibtex,
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Automatic segmentation of three-dimensional microvascular
structures is needed for quantifying morphological
changes to blood vessels during development, disease and treatment
processes. Single focus two-dimensional epifluorescent
imagery lead to unsatisfactory segmentations due to multiple
out of focus vessel regions that have blurred edge structures
and lack of detail. Additional segmentation challenges include
varying contrast levels due to diffusivity of the lectin stain,
leakage out of vessels and fine morphological vessel structure.
We propose an approach for vessel segmentation that combines
multi-focus image fusion with robust adaptive filtering. The
robust adaptive filtering scheme handles noise without destroying
small structures, while multi-focus image fusion considerably
improves segmentation quality by deblurring out-of-focus
regions through incorporating 3D structure information from
multiple focus steps. Experiments using epifluorescence images
of mice dura mater show an average of 30.4% improvement
compared to single focus microvasculature segmentation.
@inproceedings{Rengarajan:Multifocus-EMBS-2014,
author = "R. Pelapur and V. B. S. Prasath and F. Bunyak and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and K. Palaniappan",
title = "Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation",
year = 2014,
booktitle = "36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
pages = "4735-4738",
keywords = "multifocus, image fusion, vasculature, biomedical",
doi = "10.1109/EMBC.2014.6944682",
url = "http://www.ncbi.nlm.nih.gov/pubmed/25571050"
}
R. Pelapur, V. B. S. Prasath, F. Bunyak, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan. Multi-focus image fusion using epifluorescence microscopy for robust vascular segmentation. 36th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 4735-4738, 2014.