Title :
Recursive Segmentation of Minicolums Using Myelinated Bundles
Author :
Konkachbaev, Anouar I. ; Elmaghraby, Adel S. ; Casanova, Manuel
Author_Institution :
Dept. of Comput. Eng. & Comput. Sci., Louisville Univ., KY
Abstract :
In this study we developed a new method for minicolumnar identification in brain images. We measure width of minicolumns by using myelinated bundles of axons. Using recursive spectral segmentation by Otsu thresholding we separate different parts of neocoretex and extract myelinated bundles. By tracing lines perpendicular to them we measure minicolumnar width. We also measure macrocolumnar width by minicolumnar clusters
Keywords :
brain; cellular biophysics; image segmentation; medical image processing; neurophysiology; Otsu thresholding; axons; brain images; minicolumnar clusters; minicolumnar identification; minicolumnar width; minicolums; myelinated bundles; neocoretex; recursive segmentation; recursive spectral segmentation; Biomedical imaging; Blood vessels; Brain; Computer science; Data mining; Image segmentation; Nerve fibers; Pixel; Psychiatry; Visualization;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419549