DocumentCode
2748779
Title
Parallel algorithms for 3D reconstruction of asymmetric objects from electron micrographs
Author
Lynch, Robert E. ; Marinescu, Dan C. ; Lin, Hong ; Baker, Timothy S.
Author_Institution
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
fYear
1999
fDate
12-16 Apr 1999
Firstpage
632
Lastpage
637
Abstract
We present new parallel algorithms for 3D reconstruction of objects from 2D projections and their application for the determination of the structure of macromolecules from electron micrographs. A multi-resolution orientation determination algorithm uses a parallel search to determine the `best fit´ of a given image with images in a reference database. The 3D reconstruction algorithm uses Cartesian coordinates and permits the reconstruction of objects that do not possess symmetries. The method decomposes a large linear system into a set of smaller systems that can be solved independently on different processors of a parallel computer or on a cluster of workstations. The paper outlines the reconstruction process and the data partitioning and load balancing issues pertinent to the parallel implementation of the algorithm; preliminary results obtained on a SGI Origin 2000 system are given
Keywords
biological techniques; biology computing; electron microscopy; image reconstruction; macromolecules; molecular biophysics; molecular configurations; parallel algorithms; parallel machines; resource allocation; stereo image processing; workstation clusters; 2D projections; 3D asymmetric object reconstruction; Cartesian coordinates; SGI Origin 2000 system; best fit; data partitioning; electron micrographs; large linear system decomposition; load balancing; macromolecule structure determination; multi-resolution orientation determination algorithm; parallel algorithms; parallel search; reference database images; workstation cluster; Concurrent computing; Electrons; Image databases; Image reconstruction; Linear systems; Object oriented databases; Parallel algorithms; Position measurement; Reconstruction algorithms; Workstations;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 1999. 13th International and 10th Symposium on Parallel and Distributed Processing, 1999. 1999 IPPS/SPDP. Proceedings
Conference_Location
San Juan
Print_ISBN
0-7695-0143-5
Type
conf
DOI
10.1109/IPPS.1999.760543
Filename
760543
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