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Using a Linear Diagnostic Function and Non-rigid Registration to Search for Morphological Differences Between Populations: An Example Involving the Male and Female Corpus Callosum

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Information Processing in Medical Imaging (IPMI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2082))

Abstract

Supplied with image data from two distinct populations we apply a non-rigid registration technique to place each image into correspondence with an atlas. Having found the appropriate transformations we then use the use determinant of the Jacobian of the corresponding transformations and find the linear discriminant function which can best distinguish between the populations on the basis of this data. We apply the method to a collection of mid-sagittal slices of the corpus callosum for a group of 34 males and 52 females. We find that there appear to be no statistically significant differences between the relative sizes of regions in the corpus callosum between males and females.

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Author information

Authors and Affiliations

  1. GRASP Laboratory Dept. of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, 19104, USA

    David J. Pettey

  2. Dept. of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA

    James C. Gee

Authors
  1. David J. Pettey
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  2. James C. Gee
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Editor information

Editors and Affiliations

  1. Biomedical Engineering, University of California, One Shields Avenue, Davis, CA, 95616, USA

    Michael F. Insana

  2. Signal and Image Processing Institute, University of Southern California, 3740 McClintock Avenue, Los Angeles, CA, 90089-2564, USA

    Richard M. Leahy

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© 2001 Springer-Verlag Berlin Heidelberg

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Pettey, D.J., Gee, J.C. (2001). Using a Linear Diagnostic Function and Non-rigid Registration to Search for Morphological Differences Between Populations: An Example Involving the Male and Female Corpus Callosum. In: Insana, M.F., Leahy, R.M. (eds) Information Processing in Medical Imaging. IPMI 2001. Lecture Notes in Computer Science, vol 2082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45729-1_37

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  • DOI: https://doi.org/10.1007/3-540-45729-1_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42245-7

  • Online ISBN: 978-3-540-45729-9

  • eBook Packages: Springer Book Archive

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