Supercomputer algorithms for efficient linear octree encoding of three-dimensional brain images.

Abstract:

:We designed and implemented algorithms for three-dimensional (3-D) reconstruction of brain images from serial sections using two important supercomputer architectures, vector and parallel. These architectures were represented by the Cray YMP and Connection Machine CM-2, respectively. The programs operated on linear octree representations of the brain data sets, and achieved 500-800 times acceleration when compared with a conventional laboratory workstation. As the need for higher resolution data sets increases, supercomputer algorithms may offer a means of performing 3-D reconstruction well above current experimental limits.

authors

Berger SB,Reis DJ

doi

10.1016/0169-2607(95)01619-5

subject

Has Abstract

pub_date

1995-02-01 00:00:00

pages

113-9

issue

2

eissn

0169-2607

issn

1872-7565

pii

0169-2607(95)01619-5

journal_volume

46

pub_type

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