Prospective motion correction of high-resolution magnetic resonance imaging data in children
| Autor: | Anders M. Dale, J. Cooper Roddey, Eric T. Han, Dan Rettmann, Matthew Erhart, Joshua M. Kuperman, Timothy T. Brown, Ajit Shankaranarayanan, Nathan S. White |
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| Rok vydání: | 2010 |
| Předmět: |
Male
Computer science Image quality Cognitive Neuroscience Coordinate system High resolution Sensitivity and Specificity Article Motion (physics) Pattern Recognition Automated Motion Motion artifacts Image Interpretation Computer-Assisted medicine Humans Computer vision Child medicine.diagnostic_test business.industry Brain Reproducibility of Results Magnetic resonance imaging Image Enhancement Neurology Prospective motion correction Female Artificial intelligence Artifacts business Algorithms |
| Zdroj: | NeuroImage. 53:139-145 |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/j.neuroimage.2010.06.017 |
| Popis: | Motion artifacts pose significant problems for the acquisition and analysis of high-resolution magnetic resonance imaging data. These artifacts can be particularly severe when studying pediatric populations, where greater patient movement reduces the ability to clearly view and reliably measure anatomy. In this study, we tested the effectiveness of a new prospective motion correction technique, called PROMO, as applied to making neuroanatomical measures in typically developing school-age children. This method attempts to address the problem of motion at its source by keeping the measurement coordinate system fixed with respect to the subject throughout image acquisition. The technique also performs automatic rescanning of images that were acquired during intervals of particularly severe motion. Unlike many previous techniques, this approach adjusts for both in-plane and through-plane movement, greatly reducing image artifacts without the need for additional equipment. Results show that the use of PROMO notably enhances subjective image quality, reduces errors in Freesurfer cortical surface reconstructions, and significantly improves the subcortical volumetric segmentation of brain structures. Further applications of PROMO for clinical and cognitive neuroscience are discussed. |
| Databáze: | OpenAIRE |
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