Summary
A framework for automatic registration of magnetic resonance breast images is presented. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a relatively new, promising technique for breast cancer diagnostics. A few series of images of the same body region are rapidly acquired before, during and after injection of paramagnetic contrast agent. Propagation of contrast agent causes modification of MR (magnetic resonance) signal over time. Its analysis provides information on tissue properties, including tumour status, that is not available with the regular MRI. A patient should not move during the whole imaging session, but it is not always feasible. Unintentional movements result with misalignment of consecutive image sequences. It makes further analysis hardly possible. The proposed registration framework, consisting of B-spline transformation, mean squares metric and LBFGSB optimizer is expected to solve this problem.
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Kuczyński, K., Siczek, M., Stegierski, R. (2011). DCE-MRI Breast Image Registration for Tumour Diagnostics. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_36
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DOI: https://doi.org/10.1007/978-3-642-23154-4_36
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