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Proceedings Paper

Use of cross-validation as a stopping rule in emission tomography image reconstruction
Author(s): Kevin J. Coakley; Jorge Llacer
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Paper Abstract

Simulated and real Positron Emission Tomography (PET) images are reconstructed using the iterative EM algorithm. The data is split up into independent parts. The EM algorithm is applied to each part and stopped according to a cross-validation procedure. For a variety of simulated and real data sets, stopping points were reached. For simulated data, the average of the reconstructions from a four-way split of the data was visually superior to the reconstruction obtained by applying the EM algorithm to the full data and stopping at a subjectively chosen iteration. For real data, such an improvement was not observed. To remove point artifacts, the reconstructions were filtered.

Paper Details

Date Published: 1 July 1991
PDF: 8 pages
Proc. SPIE 1443, Medical Imaging V: Image Physics, (1 July 1991); doi: 10.1117/12.43445
Show Author Affiliations
Kevin J. Coakley, National Institute of Standards and Technology (United States)
Jorge Llacer, Lawrence Berkeley Lab. (United States)

Published in SPIE Proceedings Vol. 1443:
Medical Imaging V: Image Physics
Roger H. Schneider, Editor(s)

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