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Extraction of background distributions from abnormal data sets: Application to radiolabelled leucocyte imaging

  • 6. Anatomical Models And Variability
  • Conference paper
  • First Online:
Information Processing in Medical Imaging (IPMI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 511))

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Abstract

A new technique for the generation of images of the background distribution of tracer from a data set of abnormal images is described. The use of such an image in the analysis of images of labelled leucocytes in patients with Crohn's disease is outlined. Construction of the background image involves image registration, a weighted averaging technique to eliminate abnormal features in the mean image and an image normalisation technique based on mode rather than mean values. Clinical results show that the overall technique is capable of providing an index of disease activity.

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Alan C. F. Colchester David J. Hawkes

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© 1991 Springer-Verlag Berlin Heidelberg

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Barber, D.C., Tindale, W.B. (1991). Extraction of background distributions from abnormal data sets: Application to radiolabelled leucocyte imaging. In: Colchester, A.C.F., Hawkes, D.J. (eds) Information Processing in Medical Imaging. IPMI 1991. Lecture Notes in Computer Science, vol 511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033766

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  • DOI: https://doi.org/10.1007/BFb0033766

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54246-9

  • Online ISBN: 978-3-540-47521-7

  • eBook Packages: Springer Book Archive

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