Fast implementations of 3D PET reconstruction using vector and parallel programming techniques

T. M. Guerrero; S. R. Cherry; M. Dahlbom; A. R. Ricci; E. J. Hoffman

doi:10.1109/23.256716

Fast implementations of 3D PET reconstruction using vector and parallel programming techniques

T. M. Guerrero, S. R. Cherry, M. Dahlbom, A. R. Ricci, E. J. Hoffman

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Computationally intensive techniques that offer potential clinical use have arisen in nuclear medicine. Examples include iterative reconstruction, 3D PET data acquisition and reconstruction, and 3D image volume manipulation including image registration. One obstacle in achieving clinical acceptance of these techniques is the computational time required. This study focuses on methods to reduce the computation time for 3D PET reconstruction through the use of fast computer hardware, vector and parallel programming techniques, and algorithm optimization. The strengths and weaknesses of i860 microprocessor based workstation accelerator boards are investigated in implementations of 3D PET reconstruction.

Original language	English (US)
Pages (from-to)	1082-1086
Number of pages	5
Journal	IEEE Transactions on Nuclear Science
Volume	40
Issue number	4 pt 1
DOIs	https://doi.org/10.1109/23.256716
State	Published - Aug 1993
Externally published	Yes

ASJC Scopus subject areas

Nuclear Energy and Engineering
Electrical and Electronic Engineering

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10.1109/23.256716

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abstract = "Computationally intensive techniques that offer potential clinical use have arisen in nuclear medicine. Examples include iterative reconstruction, 3D PET data acquisition and reconstruction, and 3D image volume manipulation including image registration. One obstacle in achieving clinical acceptance of these techniques is the computational time required. This study focuses on methods to reduce the computation time for 3D PET reconstruction through the use of fast computer hardware, vector and parallel programming techniques, and algorithm optimization. The strengths and weaknesses of i860 microprocessor based workstation accelerator boards are investigated in implementations of 3D PET reconstruction.",

author = "Guerrero, {T. M.} and Cherry, {S. R.} and M. Dahlbom and Ricci, {A. R.} and Hoffman, {E. J.}",

year = "1993",

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AU - Guerrero, T. M.

AU - Cherry, S. R.

AU - Dahlbom, M.

AU - Ricci, A. R.

AU - Hoffman, E. J.

PY - 1993/8

Y1 - 1993/8

N2 - Computationally intensive techniques that offer potential clinical use have arisen in nuclear medicine. Examples include iterative reconstruction, 3D PET data acquisition and reconstruction, and 3D image volume manipulation including image registration. One obstacle in achieving clinical acceptance of these techniques is the computational time required. This study focuses on methods to reduce the computation time for 3D PET reconstruction through the use of fast computer hardware, vector and parallel programming techniques, and algorithm optimization. The strengths and weaknesses of i860 microprocessor based workstation accelerator boards are investigated in implementations of 3D PET reconstruction.

AB - Computationally intensive techniques that offer potential clinical use have arisen in nuclear medicine. Examples include iterative reconstruction, 3D PET data acquisition and reconstruction, and 3D image volume manipulation including image registration. One obstacle in achieving clinical acceptance of these techniques is the computational time required. This study focuses on methods to reduce the computation time for 3D PET reconstruction through the use of fast computer hardware, vector and parallel programming techniques, and algorithm optimization. The strengths and weaknesses of i860 microprocessor based workstation accelerator boards are investigated in implementations of 3D PET reconstruction.

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Fast implementations of 3D PET reconstruction using vector and parallel programming techniques

Abstract

ASJC Scopus subject areas

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