Abstract
A method based on clustering analysis and image quality discriminant functions is tested over HMPAO-99mTc-SPECT images. Signal-to-Noise ratios and Signal-to-Background ratios in each transaxial slice were measured and used as image quality indexes. They were employed to develop image quality classification using a model of three clusters. The mathematical classification was compared with the subjective image quality evaluation. Linear image quality discrimination was developed taking, as independent variables, the characteristics of the patients, equipment and radiopharmaceutical, and, as dependent variable, the cluster centroids. The results were analysed among 30 brain SPECT, acquired under different activities (400 to 1000 MBq), looking for the minimum that guaranty good image quality. The value of 800 MBq was the optimum obtained after the application of the above methodology. The labelling yield was the main parameter which determined image quality in clusters.
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Díaz, D.M.P., Rizo, O.D., Aparicio, E.E. (2007). Computer Simulations for Calculation of Workload Weighed Transmission Curves of Brazilian Shielding Materials. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74471-9_146
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DOI: https://doi.org/10.1007/978-3-540-74471-9_146
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74470-2
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