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Quantifying Metabolic Asymmetry Modulo Structure in Alzheimer’s Disease

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Information Processing in Medical Imaging (IPMI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4584))

Abstract

In this paper we describe a new method for quantifying metabolic asymmetry modulo structural hemispheric differences. The study of metabolic asymmetry in Alzheimer’s disease (AD) serves as a driving application. The approach is based on anatomical atlas construction by large deformation diffeomorphic metric mapping (LDDMM) first introduced in [1]. Using invariance properties of the LDDMM, we define a structurally symmetric coordinate frame in which metabolic asymmetries between the left and the right hemispheres can be studied. This structurally symmetric coordinate system of each subject provides the correspondence between left and right hemispheric structures in an individual brain. These correspondences are used for measuring metabolic asymmetry modulo structural asymmetry. Again using the atlas construction framework, we build a common symmetric coordinate system of a entire population. The metabolic asymmetry maps of individuals in a population under study are mapped into the common structurally symmetric coordinate frame, allowing for a statistical description of the populations metabolic asymmetry. In this paper we prove certain invariance properties of the LDDMM atlas construction framework that make the definition of structurally symmetric coordinate systems possible. We present results from applying the methodology to images from the Alzheimer’s Disease Neuroimaging Initiative (ADNI)[2].

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Nico Karssemeijer Boudewijn Lelieveldt

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Fletcher, P.T., Powell, S., Foster, N.L., Joshi, S.C. (2007). Quantifying Metabolic Asymmetry Modulo Structure in Alzheimer’s Disease. In: Karssemeijer, N., Lelieveldt, B. (eds) Information Processing in Medical Imaging. IPMI 2007. Lecture Notes in Computer Science, vol 4584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73273-0_37

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  • DOI: https://doi.org/10.1007/978-3-540-73273-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73272-3

  • Online ISBN: 978-3-540-73273-0

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