Automatic detection of perturbed magnetic resonance signal

Jennifer Salguero; Nelson Velasco; Eduardo Romero C.

doi:10.1117/12.2256815

26 January 2017 Automatic detection of perturbed magnetic resonance signal

Jennifer Salguero, Nelson Velasco, Eduardo Romero C.

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.

Citation Download Citation

Jennifer Salguero, Nelson Velasco, and 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); https://doi.org/10.1117/12.2256815

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