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

S B Berger; D J Reis

doi:10.1016/0169-2607(95)01619-5

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

S B Berger·D J Reis

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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.

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Algorithms Animals Brain Computer Systems Diagnostic Imaging Image Enhancement Image Processing, Computer-Assisted Information Systems Male Models, Structural Neural Networks, Computer Radiographic Image Enhancement Signal Processing, Computer-Assisted Software Validation Time Factors Tomography, X-Ray Computed Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

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S B Berger, D J Reis. 1995. Supercomputer algorithms for efficient linear octree encoding of three-dimensional brain images.. https://doi.org/10.1016/0169-2607(95)01619-5

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