26 January 2017 Automatic detection of perturbed magnetic resonance signal
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Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 101601H (2017) https://doi.org/10.1117/12.2256815
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina
Abstract
Magnetic resonance imaging (MRI) is widely used in medicine nowadays, yet a significant disadvantage is the amount of artifacts that affect the image during the acquisition process. This paper presents a strategy for automatic damage detection when the image is altered by movement or there is a loss of information due to magnetic susceptibility. This approach uses a conventional SV D to detect the variability between slices of the image and a region of damaged voxels within the volume. Using a simple derivative algorithm, the method was tested in several cases automatically revealing the distortion's location with a performance of 74% for slice damage and 55% for the volume's damaged region.
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Jennifer Salguero, Jennifer Salguero, Nelson Velasco, Nelson Velasco, Eduardo Romero C., Eduardo Romero C., } "Automatic detection of perturbed magnetic resonance signal", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101601H (26 January 2017); doi: 10.1117/12.2256815; https://doi.org/10.1117/12.2256815
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