[PDF] 3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain | Semantic Scholar (2024)

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  • Corpus ID: 269484587
@inproceedings{Zhu20243DMF, title={3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain}, author={Yuran Zhu and Guanhua Wang and Yuning Gu and Walter Zhao and Jiahao Lu and Junqing Zhu and Christina J MacAskill and Andrew Dupuis and Mark A Griswold and Dan Ma and Chris A. Flask and Xin Yu}, year={2024}, url={https://api.semanticscholar.org/CorpusID:269484587}}
  • Yuran Zhu, Guanhua Wang, Xin Yu
  • Published 1 May 2024
  • Medicine, Engineering

This work presents the first dynamic and multi-parametric approach for quantitatively tracking contrast agent transport in the mouse brain using 3D MRF, and designs a 3D MR fingerprinting method for simultaneous T1 and T2 mapping across the whole mouse brain with 4.3-min temporal resolution.

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49 References

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This study explores the possibility of using gradient echo‐based sequences other than balanced steady‐state free precession (bSSFP) in the magnetic resonance fingerprinting (MRF) framework to

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This study aims to develop a deep learning‐assisted fast MRF framework for sub‐millimeter T1 and T2 mapping of entire macaque brain on a preclinical 9.4 T MR system.

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The results demonstrate that oxygen-17 enriched water (H_2^17O), which has direct access to parenchymal tissues via aquaporin-4 water channels, exhibited significantly faster and more extensive transport compared to the two gadolinium-based contrast agents (Gd-DTPA and GadoSpin).

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Mitigating undersampling errors in MR fingerprinting bysequence optimization
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To develop a method for MR Fingerprinting (MRF) sequence optimization that takes both the applied undersampling pattern and a realistic reference map into account.

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