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 | |
| State | Published - Aug 1993 |
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ASJC Scopus subject areas
- Nuclear Energy and Engineering
- Electrical and Electronic Engineering
Cite this
Fast implementations of 3D PET reconstruction using vector and parallel programming techniques. / Guerrero, T. M.; Cherry, Simon R; Dahlbom, M.; Ricci, A. R.; Hoffman, E. J.
In: IEEE Transactions on Nuclear Science, Vol. 40, No. 4 pt 1, 08.1993, p. 1082-1086.Research output: Contribution to journal › Article
}
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.
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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 -