Abstract
One of the common methods for medical diagnosis is Magnetic Resonance Imaging (MRI), a safe, non-invasive method. During each imaging session a patient’s position may be different, therefore comparison of two sequences can become difficult. The primary goal of this work is preparation of an optimal algorithm for co-registration of T1 and T2 weighted MRI images. To adjust co-registration sensitivity, different preprocessing methods to perform normalizations and edge detection were used. The obtained results allow to increase quality of the co-registration process.
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Bzowski, P., Borys, D., Guz, W., Obuchowicz, R., Piórkowski, A. (2020). Evaluation of the MRI Images Matching Using Normalized Mutual Information Method and Preprocessing Techniques. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications. IP&C 2019. Advances in Intelligent Systems and Computing, vol 1062. Springer, Cham. https://doi.org/10.1007/978-3-030-31254-1_12
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DOI: https://doi.org/10.1007/978-3-030-31254-1_12
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