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

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

Radiology

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

ASJC Scopus subject areas

Nuclear Energy and Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/23.256716

Fingerprint Dive into the research topics of 'Fast implementations of 3D PET reconstruction using vector and parallel programming techniques'. Together they form a unique fingerprint.

Cite this

@article{3d7272b6736d46d6ae541c10fa7a1651,

title = "Fast implementations of 3D PET reconstruction using vector and parallel programming techniques",

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, {Simon R} and M. Dahlbom and Ricci, {A. R.} and Hoffman, {E. J.}",

year = "1993",

month = aug,

doi = "10.1109/23.256716",

language = "English (US)",

volume = "40",

pages = "1082--1086",

journal = "IEEE Transactions on Nuclear Science",

issn = "0018-9499",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4 pt 1",

}

TY - JOUR

T1 - Fast implementations of 3D PET reconstruction using vector and parallel programming techniques

AU - Guerrero, T. M.

AU - Cherry, Simon 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.

UR - http://www.scopus.com/inward/record.url?scp=0027646107&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027646107&partnerID=8YFLogxK

U2 - 10.1109/23.256716

DO - 10.1109/23.256716

M3 - Article

AN - SCOPUS:0027646107

VL - 40

SP - 1082

EP - 1086

JO - IEEE Transactions on Nuclear Science

JF - IEEE Transactions on Nuclear Science

SN - 0018-9499

IS - 4 pt 1

ER -