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17 November 2017 Detection of MRI artifacts produced by intrinsic heart motion using a saliency model
Jennifer Salguero, Nelson Velasco, Eduardo Romero
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Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105721B (2017) https://doi.org/10.1117/12.2285958
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia
Abstract
Cardiac Magnetic Resonance (CMR) requires synchronization with the ECG to correct many types of noise. However, the complex heart motion frequently produces displaced slices that have to be either ignored or manually corrected since the ECG correction is useless in this case. This work presents a novel methodology that detects the motion artifacts in CMR using a saliency method that highlights the region where the heart chambers are located. Once the Region of Interest (RoI) is set, its center of gravity is determined for the set of slices composing the volume. The deviation of the gravity center is an estimation of the coherence between the slices and is used to find out slices with certain displacement. Validation was performed with distorted real images where a slice is artificially misaligned with respect to set of slices. The displaced slice is found with a Recall of 84% and F Score of 68%.
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Jennifer Salguero, Nelson Velasco, and Eduardo Romero "Detection of MRI artifacts produced by intrinsic heart motion using a saliency model", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105721B (17 November 2017); https://doi.org/10.1117/12.2285958
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KEYWORDS
Heart
Cardiovascular magnetic resonance imaging
Magnetism
Motion models
Magnetic resonance imaging
Motion detection
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