Title :
Purkinje cell 3D reconstruction and visualization system
Author :
Agaian, Sos S. ; McClendon, Stephen A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
Abstract :
This paper presents a new system that reconstructs and visualizes 3D Purkinje cells (neurons) from two-photon microscopy images. The main components of the system are nonlinear diffusion filtering for denoising of each two-photon microscopy slice, increasing the image resolution of each Purkinje cell slice, global image enhancement of each slice as well as local pixel based image enhancement of each slice. Finally, 3D reconstruction and visualization of the Purkinje cell is accomplished using ImageJ. Computer simulations will illustrate the elucidated improvements over the original Purkinje cell images. Specifically, the presented system brought out hidden dendrite branches and allowed for a clearer picture of the entire Purkinje cell.
Keywords :
filtering theory; image denoising; image enhancement; image reconstruction; image resolution; ImageJ; Purkinje cell 3D reconstruction; Purkinje cell 3D visualization system; Purkinje cell slice; global image enhancement; hidden dendrite branches; image resolution; local pixel based image enhancement; nonlinear diffusion filtering; two-photon microscopy images; two-photon microscopy slice denoising; Artificial neural networks; Image edge detection; Interpolation; Pixel; 3D reconstruction system; Purkinje cell visualization; global image enhancement; local pixel based image enhancement; nonlinear diffusion filtering;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5642316