Abstract
We present a method to automatically estimate and remove the bias field of MR images where there is a single dominant tissue class. Assuming that a multi-class image is corrupted by a multiplicative, low-frequency bias field, the method evaluates the bias field on a single tissue class, and extends it to the whole image. The algorithm works iteratively, interleaving tissue class domain and bias field estimation using B-spline.
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© 1996 Springer-Verlag Berlin Heidelberg
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Gilles, S., Brady, M., Declerck, J., Thirion, JP., Ayache, N. (1996). Bias field correction of breast MR images. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046950
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DOI: https://doi.org/10.1007/BFb0046950
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-61649-8
Online ISBN: 978-3-540-70739-4
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