Conference Details

Conference: ISMRM & ISMRT Annual Meeting & Exhibition 2025
Presentation Type: Oral Presentation
Award: ISMRM Magna Cum Laude Merit Award 2025


Abstract

This work presents DeepAcq, an ultra-fast MRI acquisition and reconstruction framework that enables qualitative and quantitative brain imaging of the entire brain in just 3 minutes. The approach combines advanced deep learning techniques with novel acquisition protocols to achieve unprecedented speed while maintaining high image quality and quantitative accuracy.


Award Recognition

This abstract received the ISMRM Magna Cum Laude Merit Award 2025, given to the top 15% of abstracts within a major subject review category, recognizing the exceptional quality and impact of this research.


Key Contributions
  • Ultra-fast brain MRI acquisition protocols
  • Deep learning-based reconstruction techniques
  • Multi-contrast imaging capabilities
  • Quantitative and qualitative assessment methods
  • Significant reduction in scan time from standard protocols

Citation

Alyuz, B., Qiu, S., Lee, H-L, Gao, C., Madhusoodhanan, S., Sicotte, N., Sati, P., Xie, Y., Li, D. 2025. “Ultra-fast High-Resolution Multi-Contrast Qualitative and Quantitative MRI of the Entire Brain in 3 minutes.” ISMRM & ISMRT Annual Meeting & Exhibition 2025.

@inproceedings{alyuz2025ultra,
  title={Ultra-fast High-Resolution Multi-Contrast Qualitative and Quantitative MRI of the Entire Brain in 3 minutes},
  author={Alyuz, B. and Qiu, S. and Lee, H-L and Gao, C. and Madhusoodhanan, S. and Sicotte, N. and Sati, P. and Xie, Y. and Li, D.},
  booktitle={ISMRM \& ISMRT Annual Meeting \& Exhibition},
  year={2025}
}