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

Computationally intensive techniques that offer potential clinical use have arisen in nuclear medicine, e.g., 3-D positron emission tomography data acquisition and reconstruction. Methods to reduce the computation time for 3-D PET reconstruction through the use of fast computer hardware, vector and...

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Veröffentlicht in:IEEE transactions on nuclear science 1993-08, Vol.40 (4), p.1082-1086
Hauptverfasser: Guerrero, T.M., Cherry, S.R., Dahlbom, M., Ricci, A.R., Hoffman, E.J.
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container_end_page 1086
container_issue 4
container_start_page 1082
container_title IEEE transactions on nuclear science
container_volume 40
creator Guerrero, T.M.
Cherry, S.R.
Dahlbom, M.
Ricci, A.R.
Hoffman, E.J.
description Computationally intensive techniques that offer potential clinical use have arisen in nuclear medicine, e.g., 3-D positron emission tomography data acquisition and reconstruction. Methods to reduce the computation time for 3-D PET reconstruction through the use of fast computer hardware, vector and parallel programming techniques, and algorithm optimization are reported. The strengths and weaknesses of i860 microprocessor-based workstation accelerator boards are investigated in implementations of 3-D PET reconstruction.< >
doi_str_mv 10.1109/23.256716
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subjects 550601 - Medicine- Unsealed Radionuclides in Diagnostics
ACCURACY
ALGORITHMS
Biological and medical sciences
Biomedical imaging
COMPUTER CALCULATIONS
Computer interfaces
COMPUTERIZED TOMOGRAPHY
DATA ACQUISITION
DESIGN
DIAGNOSTIC TECHNIQUES
EMISSION COMPUTED TOMOGRAPHY
Hardware
Image reconstruction
IMAGE SCANNERS
Investigative techniques, diagnostic techniques (general aspects)
Libraries
MATHEMATICAL LOGIC
Medical sciences
Miscellaneous. Technology
Nuclear medicine
OPTIMIZATION
Parallel programming
POSITRON COMPUTED TOMOGRAPHY
Positron emission tomography
RADIOLOGY AND NUCLEAR MEDICINE
Radionuclide investigations
Sun
TOMOGRAPHY
title Fast implementations of 3D PET reconstruction using vector and parallel programming techniques
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