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Handling of MRI Data in a Multicenter Study

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Abstract

A large-scale multisite clinical study to develop surrogate markers which measure directly the essential process of Alzheimer’s disease and other dementias has been launched. It aims to develop a way to assess the stages of disease progression objectively and accurately through a variety of examinations including clinical, psychological, imaging, and biochemical ones. These examinations have been performed for several years at generally about 6 month or 1 year intervals. Especially, the methods that delineate the structural changes caused by the disease using brain structural MRI are known to provide objective and reproducible surrogate biomarkers. However, the image quality of MR brain images depends on the scanners and imaging protocols selected. Moreover the reliability of the automated image analysis algorithm depends on the image quality. Therefore it is necessary to use a consistent imaging protocol and scanner for longitudinal analysis. Moreover, several preprocessing steps such as geometrical distortion correction and intensity inhomogeneity correction are needed to improve the reliability of structural analysis.

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Correspondence to Norihide Maikusa .

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© 2017 Springer Japan

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Maikusa, N. (2017). Handling of MRI Data in a Multicenter Study. In: Matsuda, H., Asada, T., Tokumaru, A. (eds) Neuroimaging Diagnosis for Alzheimer's Disease and Other Dementias. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55133-1_15

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  • DOI: https://doi.org/10.1007/978-4-431-55133-1_15

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-55132-4

  • Online ISBN: 978-4-431-55133-1

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