Abstract
Magnetic Resonance Imaging (MRI) of anatomical structures usually requires a compromise between acquisition time and image resolution. In fact higher resolutions require longer acquisition times which may result in movement artifacts that alter image quality. With the progress of high field imaging, visualizing microstructural details of anatomical structures became possible. In the case of the hippocampus, which is a brain structure involved in memory, visualizing the inner structure of the hippocampus would allow a better characterization of Alzheimer disease and temporal lobe epilepsy. However quantifying the inner structure of the hippocampus requires at-most 300 μm in-plane resolutions; this yields long acquisitions sensitive to movement artifacts. In this work we propose a method to reduce movement artifacts for ultra-high resolution imaging. To do so, the long MR acquisition is split into shorter sub-slabs that are then registered to a low resolution short acquisition in order to reconstruct a 3D-consistent high resolution volume. This procedure is illustrated for ultra-high resolution imaging of the hippocampus inner structure at 7T. The registration method proved robust on 37 subjects.
Original language | English (US) |
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Title of host publication | 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 348-353 |
Number of pages | 6 |
ISBN (Electronic) | 9781467385268 |
DOIs | |
State | Published - Jul 26 2016 |
Event | 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 - Monastir, Tunisia Duration: Mar 21 2016 → Mar 24 2016 |
Publication series
Name | 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 |
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Other
Other | 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 |
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Country/Territory | Tunisia |
City | Monastir |
Period | 3/21/16 → 3/24/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- hippocampus inner structure
- registration
- ultra-high resolution imaging