Accelerating renal ASL MRI with 3D Cartesian TSE using deep learning-based Compressed SENSE.
Motivation: Motion and breathing can compromise 3D renal ASL MRI, reducing SNR and causing artifacts. Shorter-time acquisition is crucial for its clinical utilityGoal(s): To Evaluate the potential of CS-AI in accelerating renal ASL MRI with 3D Cartesian TSE. Approach: We accelerated renal ASL MRI 2-, 4-, and 6 times using CS-AI, comparing with SENSE. Results: CS-AI-accelerated images exhibited superior SNR and quality compared to SENSE, without affecting RBF quantification. Impact: This study may enhance the clinical utility of 3D renal ASL, particularly in discerning perfusion alterations in small-sized lesions like small renal masses.
Authors
- Yan Zhao (ORCID: https://orcid.org/0000-0002-0242-3707)
- Yiming Wang (ORCID: https://orcid.org/0000-0003-2235-6617)
- Yajing Zhang (ORCID: https://orcid.org/0000-0001-5344-7568)
- Zhongping Zhang (ORCID: https://orcid.org/0000-0003-1795-0961)
- Wengu Su
- Zhijun Ren
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/10.58530/2024/3643
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00