Intra-cardiac Blood Flow Pattern Prediction

This is the code and demos for work "Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging" https://link.springer.com/article/10.1007/s10554-023-02804-2

1. Introduction

In standard long-axis cine MR views the intensity fluctuations within the blood pool provide a visual clue about the global blood flow pattern within the cardiac cavities. In this project, we proposed a deep learning based method for automated intra-cardiac blood flow velocity prediction from standard long-axis Cine MRI. More movie demos (.mp4) are located here. (https://github.com/xsunn/BloodFlowPrediction/tree/main/DEMO-mp4).

2. Network structure

3. Visualization samples in 4CH view

Case Num	Cine MRI	4D flow(gif)	DL (gif)	E/A-GT	E/A-DL
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4. Visualization samples in 2CH view

Case Num	Cine MRI	4D flow(gif)	DL (gif)	E/A-GT	E/A-DL
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