@inproceedings{88205d3fa3964d7eaa0d974fb6c0c427,
title = "Evaluation of the MRI Images Matching Using Normalized Mutual Information Method and Preprocessing Techniques",
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{\textquoteright}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.",
keywords = "Co-registration, Magnetic Resonance Imaging, Matching, T1 and T2 weighted images",
author = "Pawe{\l} Bzowski and Damian Borys and Wies{\l}aw Guz and Rafa{\l} Obuchowicz and Adam Pi{\'o}rkowski",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Image Processing and Communications, IP and C 2019 ; Conference date: 11-09-2019 Through 13-09-2019",
year = "2020",
doi = "10.1007/978-3-030-31254-1\_12",
language = "English",
isbn = "9783030312534",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "92--100",
editor = "Michal Choras and Choras, \{Ryszard S.\}",
booktitle = "Image Processing and Communications - Techniques, Algorithms and Applications, IP and C 2019",
address = "Germany",
}