Abstract
Magnetic resonance imaging (MRI) is a crucial modality for abdominal imaging evaluation of focal lesions and tissue properties. However, several obstacles, such as prolonged scan times, limitations in patients’ breath-hold capacity, and contrast agent-associated artifacts, remain in abdominal MR images. Recent techniques, including parallel imaging, three-dimensional acquisition, compressed sensing, and deep learning, have been developed to reduce the scan time while ensuring acceptable image quality or to achieve higher resolution without extending the scan duration. Quantitative measurements using MRI techniques enable the noninvasive evaluation of specific materials. A comprehensive understanding of these advanced techniques is essential for accurate interpretation of MRI sequences. Herein, we therefore review advanced abdominal MRI techniques. Graphical abstract: (Figure presented.)
| Original language | English |
|---|---|
| Pages (from-to) | 3615-3636 |
| Number of pages | 22 |
| Journal | Abdominal Radiology |
| Volume | 49 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2024 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
Keywords
- Abdomen
- Deep learning, Image reconstruction
- Magnetic resonance imaging
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