Motion-robust Machine Learning Methods for Region-of-Interest Tracking and Selective Magnetic Resonance Imaging with External Shim Arrays
Fetal motion during imaging presents a significant challenge, resulting in image artifacts and limiting the diagnostic information that can be obtained. Despite the adoption of fast single-shot MRI techniques, capable of acquiring images in less than a second per slice, fetal motion remains problema...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156608 |