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Quantitative Brain SPECT in three Dimensions

An Analytical Approach without Transmission Scans

  • Chapter
Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine

Part of the book series: Computational Imaging and Vision ((CIVI,volume 4))

Abstract

An analytical (noniterative) approach to nonuniformly attenuated brain SPECT without transmission scans has been developed. This approach treats the Poisson noise of projection data by a Wiener filter after a square-root transformation. It removes scatter portion in primary-energy-window measurements by subtracting a fraction of smoothed secondary-energy-window samples. Resolution variation as a function of depth from the collimator is corrected by a depth-dependent deconvolution using the variation kernel. The approach enlarges the head boundary radially for a uniform attenuation map to overcome the nonuniform attenuation of the skull and scalp. Attenuation by the head is then compensated in inverting the uniformly attenuated Radon transform. Studies using patient head CT (for the attenuation map), point-source measurement (for the resolution kernel), and the Hoffman brain phantom demonstrated accurate reconstruction by the enlarged uniform attenuation map (< 1% ROI error), as compared to the reconstruction using the true head attenuation map.

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Authors and Affiliations

  1. Departments of Radiology and Computer Sciences, State University of New York, Stony Brook, NY, 11794, USA

    Z. Liang, J. Ye, J. Cheng & D. P. Harrington

Authors
  1. Z. Liang
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  2. J. Ye
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  3. J. Cheng
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  4. D. P. Harrington
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Editors and Affiliations

  1. Laboratoire d’Electronique de Technologie et d’Instrumentation, Commissariat à l’Energie Atomique, Technologies Avancées, Grenoble, France

    Pierre Grangeat  & Jean-Louis Amans  & 

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© 1996 Springer Science+Business Media Dordrecht

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Liang, Z., Ye, J., Cheng, J., Harrington, D.P. (1996). Quantitative Brain SPECT in three Dimensions. In: Grangeat, P., Amans, JL. (eds) Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Computational Imaging and Vision, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8749-5_9

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  • DOI: https://doi.org/10.1007/978-94-015-8749-5_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4723-6

  • Online ISBN: 978-94-015-8749-5

  • eBook Packages: Springer Book Archive

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