Abstract
This paper describes an automatic parameter optimization method for anisotropic diffusion filters used to de-noise 2D and 3D MR images. The filtering process is integrated into a closed-loop system where image improvement is monitored indirectly by comparing the characteristics of the suppressed noise with those of the assumed noise model at the optimal point. In order to verify the performance of this approach, experimental results obtained with this method are presented together with the results obtained by median and k-nearest neighbor filters.
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© 2005 Springer-Verlag Berlin Heidelberg
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Castellanos, J., Rohr, K., Tolxdorff, T., Wagenknecht, G. (2005). Automatic Parameter Optimization for De-noising MR Data. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_40
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DOI: https://doi.org/10.1007/11566489_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29326-2
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