Title :
Electric-potential reconstructions of single particles using L2-gradient flows
Author :
Li, Ming ; Xu, Guoliang ; Sorzano, Carlos O S ; Melero, Roberto ; Bajaj, Chandrajit
Author_Institution :
State Key Lab. of Sci. & Eng. Comput., Acad. of Math. & Syst. Sci., Beijing, China
Abstract :
In this paper, we present a stable, reliable and robust method for reconstructing a three dimensional density function from a set of two dimensional electron microscopy images. By minimizing an energy functional consisting of a fidelity term and a regularization term, a L2-gradient flow is derived. The flow is integrated by a finite element method in the spatial direction and an explicit Euler scheme in temporal direction. The experimental results show that the proposed method is efficient and effective.
Keywords :
bioelectric potentials; electron microscopy; finite element analysis; image reconstruction; medical image processing; Euler scheme; L2-gradient flows; electric-potential reconstructions; energy functional; fidelity term; finite element method; regularization term; single particles; spatial direction; temporal direction; three dimensional density function; two dimensional electron microscopy images; Adenoviruses; Finite element methods; Image reconstruction; Microscopy; Spline; Three dimensional displays;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639445
