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• W2473531509 abstract "Diffusion Tensor Imaging (DTI), the Fractional Anisotropy (FA) is used to measure the integrity of the white matter (WM); it is considered as a biomarker for stroke recovery. This measure is highly sensitive to applied pre-processing steps; in particular, the presence of a lesion may result into severe misregistration. In this paper, it is proposed to quantitatively assess the impact of large stroke lesions onto the registration process. To reduce this impact, a new registration algorithm, that localizes the lesion via Bayesian estimation, is proposed." @default.
• W2473531509 created "2016-07-22" @default.
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• W2473531509 date "2016-01-01" @default.
• W2473531509 modified "2023-09-29" @default.
• W2473531509 title "Bayesian Stroke Lesion Estimation for Automatic Registration of DTI Images" @default.
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• W2473531509 doi "https://doi.org/10.1007/978-3-319-30858-6_9" @default.
• W2473531509 hasPublicationYear "2016" @default.
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