Abstract
Magnetic resonance is one of the most comprehensive and safe radiological techniques. However, a serious limitation is signal strength because it is inversely proportional to image resolution. One of the most important parameters which determines signal-to-resolution ratio is matrix size, therefore a post-processing technique which allows the best-possible resolution to be obtained is desired. This paper concerns a study whose main goal was to evaluate seventeen popular interpolation methods and select the one that best estimates human tissues when enlarging MRI images. The experiment was conducted using data from twenty left shoulder MRI scans from different patients. In order to compare interpolation methods, lower-resolution images were upsampled to higher-resolution images, after which the quality of each method was checked using the structural similarity index measure and mean square error.
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Acknowledgement
The data acquisition was carried out based on the consent of the Jagiellonian University’s Bioethics Committee (No 155/KBL/OIL/2017, 22.09.2017).
This work was financed by the AGH University of Science and Technology thanks to the Rector’s Grant 18/GRANT/2022.
This work was co-financed by the AGH University of Science and Technology, Faculty of EAIIB, KBIB no 16.16.120.773.
Work carried out within the grant Studenckie Koła tworzą innowacje - II edition, project no. SKN/SP/535131/2022 entitled “Cephalometric image reconstruction based on magnetic resonance imaging".
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Cieślak, A., Piórkowski, A., Obuchowicz, R. (2022). Comparison of Interpolation Methods for MRI Images Acquired with Different Matrix Sizes. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_11
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