MRI Acceleration with Frequency Encoding Subsampling using Double Lobe Gradient (DOGE) Readout Waveform
Motivation: The current practice of MRI acceleration commonly subsamples K-space along the Phase Encoding (PE) direction, but this approach does not fully address the need for further reduction in scan time. Goal(s): Our goal was to develop a Frequency Encoding (FE) subsampling technique that reduces scan time while maintaining image quality. Approach: We introduced the Double Lobe Gradient (DOGE) readout approach, which manipulates the readout gradient waveform to subsample along the FE direction. Results: The verification of DOGE readout on b-SSFP resulted in a significant reduction of 40% in readout time and 20% reduction in repetition time (TR), while maintaining comparable image quality. Impact: Our approach exhibits compatibility with existing MRI acceleration techniques, thereby enhancing scan efficiency. Moreover, its potential applicability to other pulse sequences to reduce scan duration could bear substantial implications for clinical practice, potentially revolutionizing patient experience and diagnostic accuracy.
Authors
- Wenchao Yang (ORCID: https://orcid.org/0000-0002-9963-8682)
- Wenjian Liu
- Tingyi Jiang (ORCID: https://orcid.org/0000-0002-5765-0587)
- Haikun Qi (ORCID: https://orcid.org/0000-0003-4709-5185)
- Peng Hu (ORCID: https://orcid.org/0000-0002-4962-643X)
- Yanzhen Ren (ORCID: https://orcid.org/0000-0003-0799-5082)
- Zhipeng Xie (ORCID: https://orcid.org/0000-0003-3752-9373)
- Jiayu Zhu (ORCID: https://orcid.org/0000-0002-2228-9605)
- Hua Hong (ORCID: https://orcid.org/0000-0002-6237-074X)
- Wenlei Shang
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/10.58530/2024/3259
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00