Super-resolution MRI of Human Olfactory Bulb and Tract at 3T
Motivation: Olfactory bulb and tract imaging with high resolution is required for patient evaluationGoal(s): Optimized protocol along with super resolution deep learning to improve olfactory bulb and tract imaging Approach: Optimized T2 weighted and DTI imaging along with deep learning reconstruction was performed and results were evaluatedResults: Good agreement between existing and proposed methods were observed while the proposed methods improves resolution with better noise performance. Impact: This work will allow olfactory system high resolution imaging to serve as a diagnostic tool for patient evaluation.
Authors
- Qi Peng (ORCID: https://orcid.org/0000-0002-5693-0480)
- Can Wu (ORCID: https://orcid.org/0000-0003-2025-2646)
- Johannes Peeters (ORCID: https://orcid.org/0000-0001-6639-0863)
- Rana Jafari (ORCID: https://orcid.org/0000-0001-6265-9634)
- Yansong Zhao
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/1893
- Primary Topic
- Olfactory and Sensory Function Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00