4 Dimensional Flow

4D flow MRI provides non-invasive, time-resolved measurements of blood flow, crucial for diagnosing cardiovascular diseases. Current research focuses on improving the accuracy and resolution of 4D flow MRI data through techniques like physics-informed machine learning (e.g., graph neural networks), Bayesian inverse problems to jointly reconstruct flow fields and learn fluid parameters, and deep learning methods for super-resolution and denoising. These advancements aim to enhance the diagnostic capabilities of 4D flow MRI, enabling more accurate assessments of hemodynamics and potentially reducing the need for invasive procedures. The ultimate goal is to improve the diagnosis and management of cardiovascular conditions.