Abstract
Single photon emission computed tomography (SPECT) has become an important diagnostic tool in nuclear medicine, because of the important clinical role that it can offer. Reconstruction methods, necessary to compensate several effects that severely degrade the quality of the image, are computationally very intensive.
The estimate of reconstruction errors in SPECT reconstructions with weighted least squares includes the singular value decomposition of 180 projection matrices of size 4096 × 4096. We have developed a very efficient parallel implementation on an 8 processor SGI PowerChallenge.
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© 1996 Springer-Verlag Berlin Heidelberg
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Foresti, S., Zeng, L., Gullberg, G., Huesman, R. (1996). Parallel least squares estimates of 2-D SPECT image reconstructions on the SGI power challenge. In: Waśniewski, J., Dongarra, J., Madsen, K., Olesen, D. (eds) Applied Parallel Computing Industrial Computation and Optimization. PARA 1996. Lecture Notes in Computer Science, vol 1184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62095-8_27
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DOI: https://doi.org/10.1007/3-540-62095-8_27
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