Abstract
Typically a cardiac MR cine series consists of images over several time points but only from one spatial location. The volumetric information is obtained by combining 2-D slices from different image series. If a patient moves during an MR imaging session, the slices from different image series shift relative to each other, and the 3-D volume reconstructed does not represent the real geometry. In this study, an algorithm was developed to correct movement artifacts simultaneously from short- and long-axis MR cine series. The performance of the algorithm was evaluated by calculating the accuracy of the method against simulated movements imposed on real data, and by visually inspecting the results with real patient images. In both cases, the algorithm reduced significantly movement artifacts.
Keywords
- Cardiac Magnetic Resonance
- Movement Artifact
- Movement Correction
- Image Series
- Normalize Mutual Information
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Lötjönen, J., Pollari, M., Kivistö, S., Lauerma, K. (2004). Correction of Movement Artifacts from 4-D Cardiac Short- and Long-Axis MR Data. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30136-3_50
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DOI: https://doi.org/10.1007/978-3-540-30136-3_50
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