Bin Liu
ABSTRACT
For the epilepsy disease, many studies about the thickness of cortex among various brain regions haven been implemented. However, there is few research about the cell distribution of the gray matter of adjacent gyrus and sulcus. Our studies indicate it is possible different that the thickness of the GFAP-IR interlaminar astrocytes somas between in gyri and sulci in epilepsy. Based on this motivation, we proposed a color brain slice image ROI (region of interest) extracting method. A classifying method is imported to compute the comparability between two pixels in the slice image. An improved mechanism of color data query table is designed to accelerate the processing speed. Human brain tissue images acquired during surgical resection for epilepsy are utilized as the experimental object. The regions of most interest can be extracted and the 3D color gradient field can also be visualized. In conclusion, we can not only achieve the information of interlaminar astrocytes, but also provide a technic support for building the information network of epilepsy diseases.
- Funk, G.D., Rajani, V., Alvares, T.S., Revill, A.L., Zhang, Y., Chu, N.Y., Biancardi, V., Linhares-Taxini, C., Katzell, A. and Reklow, R., 2015. Neuroglia and their roles in central respiratory control; an overview. Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, 186, pp. 83--95.Google Scholar
Cross Ref
- Kovacs, G.G., Ferrer, I., Grinberg, L.T., Alafuzoff, I., Attems, J., Budka, H., Cairns, N.J., Crary, J.F., Duyckaerts, C., Ghetti, B. and Halliday, G.M., 2016. Aging-related tau astrogliopathy (ARTAG): harmonized evaluation strategy. Acta neuropathologica, 131(1), pp. 87--102.Google Scholar
- Balasubramanian, S., Packard, J.A., Leach, J.B. and Powell, E.M., 2016. Three-dimensional environment sustains morphological heterogeneity and promotes phenotypic progression during astrocyte development. Tissue Engineering Part A, 22(11-12), pp. 885--898.Google ScholarCross Ref
- Simon, M.J., Murchison, C. and Iliff, J.J., 2018. A transcriptome-based assessment of the astrocytic dystrophin-associated complex in the developing human brain. Journal of neuroscience research, 96(2), pp. 180--193.Google ScholarCross Ref
- Reyes, L.D. and Sherwood, C.C., 2015. Neuroscience and human brain evolution. In Human Paleoneurology (pp. 11--37). Springer, Cham.Google Scholar
- Nedergaard, M., 1994. Direct signaling from astrocytes to neurons in cultures of mammalian brain cells. Science, 263(5154), pp. 1768--1771.Google ScholarCross Ref
- Latacz, A., Russell, J.A., Ocłoń, E., Zubel-Łojek, J. and Pierzchała-Koziec, K., 2015. mTOR Pathway--Novel Modulator of Astrocyte Activity. Folia biologica, 63(2), pp. 95--105.Google Scholar
- Muñoz, M.F., Puebla, M. and Figueroa, X.F., 2015. Control of the neurovascular coupling by nitric oxide-dependent regulation of astrocytic Ca2+ signaling. Frontiers in cellular neuroscience, 9, p.59.Google Scholar
- Al-Jarrah, M.A., 2015. Image Segmentation Utilizing Color-Space Feature. International Journal of Multimedia Data Engineering and Management (IJMDEM), 6(1), pp. 39--53. Google ScholarDigital Library
- Shrivastava, N. and Tyagi, V., 2016. An integrated approach for image retrieval using local binary pattern. Multimedia Tools and Applications, 75(11), pp. 6569--6583. Google ScholarDigital Library
- Yuan, X.C. and Pun, C.M., 2014. Feature extraction and local Zernike moments based geometric invariant watermarking. Multimedia tools and applications, 72(1), pp. 777--799. Google ScholarDigital Library
- Tang, M., Gorelick, L., Veksler, O. and Boykov, Y., 2013. Grabcut in one cut. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1769--1776). Google ScholarDigital Library
- Levin, A., Lischinski, D. and Weiss, Y., 2008. A closed-form solution to natural image matting. IEEE transactions on pattern analysis and machine intelligence, 30(2), pp. 228--242. Google ScholarDigital Library
- Levin, A., Rav-Acha, A. and Lischinski, D., 2008. Spectral matting. IEEE transactions on pattern analysis and machine intelligence, 30(10), pp. 1699--1712. Google ScholarDigital Library
Index Terms
- An Effective ROI Extracting Method for Color Brain Slice in Assisting the Diagnostic Analysis of Epilepsy
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