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Proceedings Paper

Automatic detection of perturbed magnetic resonance signal
Author(s): Jennifer Salguero; Nelson Velasco; Eduardo Romero C.
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Paper 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.

Paper Details

Date Published: 26 January 2017
PDF: 7 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101601H (26 January 2017); doi: 10.1117/12.2256815
Show Author Affiliations
Jennifer Salguero, Univ. Militar Nueva Granada (Colombia)
Nelson Velasco, Univ. Militar Nueva Granada (Colombia)
Univ. Nacional de Colombia (Colombia)
Eduardo Romero C., Univ. Nacional de Colombia (Colombia)


Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)

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