Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learning
Abstract Changes in cardiovascular hemodynamics are closely related to the development of aortic regurgitation (AR), a type of valvular heart disease. Metrics derived from blood flows are used to indicate AR onset and evaluate its severity. These metrics can be non-invasively obtained u...
| मुख्य लेखकों: | , , , , , , |
|---|---|
| अन्य लेखक: | |
| स्वरूप: | लेख |
| भाषा: | English |
| प्रकाशित: |
Springer Netherlands
2023
|
| ऑनलाइन पहुंच: | https://hdl.handle.net/1721.1/148224 |