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Hahn, K.R. ; Prigarin, S.M.* ; Rodenacker, K. ; Hasan, K.M.*

Denoising for diffusion tensor imaging of the human brain with high spatial resolution.

In: Proceedings (World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany). Berlin: Springer, 2010. 744-747 (IFMBE Proceedings ; 25/iV)
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A denoising method for Diffusion Tensor Imaging is proposed, with the aim to reduce the presently used clinical voxelsize of 8 ~ 27 mm3 to approximately 1 mm3. The method combines voxelwise averaging, nonlinear filtering and Rician bias correction of the directly measured Diffusion Weighted Images. To eliminate residual noise, a final postfiltering procedure applied to DTI quantities is performed. The method is based on the Delta Method formalizing the asymptotic Gaussian limit of nonlinear noise propagation. The method is explored via Monte Carlo simulations on human brain data measured with 1x1x1 mm3 resolution. The numerical results indicate the feasibility of quantitative analysis of Diffusion Tensor data of the human brain with 1 mm3 resolution, measured with clinical scanning parameters, under the assumption that thermal noise effects are the dominating artifacts.
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Publikationstyp Artikel: Konferenzbeitrag
Schlagwörter Medical image processing; Diffusion tensor imaging of the human brain with high resolution; Denoising of human brain diffusion tensor data with 1 mm3 resolution
ISBN 978-3-642-03901-0
Konferenztitel World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
Konferenzband Proceedings
Quellenangaben Band: 25/iV, Heft: , Seiten: 744-747 Artikelnummer: , Supplement: ,
Reihe IFMBE Proceedings
Verlag Springer
Verlagsort Berlin