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Cutting-edge 4D flow MRI scans could revolutionise blood flow assessment in the heart

MRI
Mitral inflow peak velocity tracking on CAAS MR using two novel methods: A) Automated dynamic method and B) static-plane method. Image A (Top-left) Semi-automated mitral valve-tracking schematics – the two attachments of the mitral valve leaflets are manually selected at a single point in the cardiac cycle. The software performs automated tracking of the valve in motion throughout the cardiac cycle. 3D streamlines produced showing mitral inflow. Automated peak velocity tracking is indicated by a yellow sphere within the streamlines. 4-chamber orthogonal long-axis cine view showing mitral inflow as 3D streamlines on 4D flow CMR during diastole (Top-right) (Bottom-left). Peak velocity tracings demonstrating E-wave and A-wave velocity peaks (Bottom-right). Image B (Top image) Static method using the alternative plane to illustrate
colour-coded 4D flow CMR. Mitral inflow velocity detection (purple arrow). (Bottom-left) Mitral forward flow shown as 3D streamlines on 4D flow CMR. (Bottom-right) 4D flow CMR velocity mapping of mitral flow showing the contour (purple ring) which is manually adjusted to outline the region of mitral inflow depicted as the hyperdense opacity.

Cutting-edge 4D flow MRI scans could revolutionise blood flow assessment in the heart
Researchers at the University of East Anglia have developed cutting-edge imaging technology to help doctors better diagnose and monitor patients with heart failure.
The state-of-the-art technology uses magnetic resonance imaging (MRI) to create detailed 4D flow images of the heart.

The study published in the International Journal of Cardiology on June 27, 2022 [1], shows how this non-invasive imaging technique can measure the peak velocity of blood flow in the heart accurately and precisely.

The 4D heart MRI scan takes just six to eight minutes and can provide precise imaging of the heart valves and the flow inside the heart in three-dimension, helping doctors determine the best course of treatment for patients.

Cardiology patients at the Norfolk and Norwich University Hospital were the first to trial the new technology. The team hope their work will revolutionise how heart failure is diagnosed.

Lead researcher Dr Pankaj Garg, from University East Anglia’s Norwich Medical School, said: “Heart failure is a dreadful condition resulting from rising pressures inside the heart. The best method to diagnose heart failure is by invasive assessment, which is not preferred as it has risks.

“An ultrasound scan of the heart called echocardiography is routinely used to measure the peak velocity of blood flow through the mitral valve of the heart.

“However, ultrasound assessment is dependent on the operator and can be unreliable.

“In our study, we used one of the most cutting-edge methods of flow assessment inside the heart called 4D flow MRI.

“In 4D flow MRI, we can look at the flow in three directions over time, the fourth dimension.

“We applied automated methods to hunt for the peak velocity in the chamber of the heart and showed that it is similar to echocardiography assessment, but with much greater precision.”

The team tested the new technology with 50 patients at the Norfolk and Norwich University Hospital and at the Sheffield Teaching Hospitals NHS Foundation Trust in Sheffield.

Patients with suspected heart failure were assessed using both echocardiography and the new advanced 4D flow heart MRI.

The team collaborated with industry partner Pie Medical Imaging from the Netherlands to develop prototype software to automate the process of measuring the peak velocity of blood flow inside the heart.

Dr Garg said: “This work is very important because the heart’s inability to relax leads to a rise in pressures inside the heart, and this causes heart failure with preserved ejection fraction.

“Peak velocity of the blood flow inside the heart is a very important assessment for patients, and our findings show that by using a state-of-the-art 4D flow MRI imaging, we can do this accurately and with a high degree of repeatability.

“This advanced imaging offers an alternative to ultrasound methods and may even
be better than ultrasound in the future.”

This research project was funded by the Wellcome Trust.

Reference:
[1] doi: https://doi.org/10.1016/j.ijcard.2022.06.032

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