An artificial intelligence (AI) system capable of speeding up cardiovascular blood flow scans is reported in a paper published in Nature Machine Intelligence . This deep learning model may improve diagnostic workflows by allowing clinicians to view blood flow in real time while the patient is still in an MRI scanner.
4D MRI scans can be used to reconstruct cardiovascular blood flow over time, and are important for diagnosing a range of cardiovascular diseases. However, these scans typically take up to 20 minutes to process, meaning that decisions about further imaging assessments cannot be made during an exam session. Speeding up these scans would allow real-time assessment while the patient is still in the scanner, potentially freeing up a clinician’s time and decreasing patient discomfort.
Valery Vishnevskiy and colleagues developed a deep-learning AI model that reconstructs 4D blood flow through the heart in a matter of seconds. The authors trained a neural network on 11 example scans and found the network could accurately reconstruct aortic flow in healthy patients and in patients with abnormal blood flow with the same level of accuracy as conventional approaches. The AI system could also reconstruct a scan in around 20 seconds, which is 30 times faster than current state-of-the art conventional methods and 4.2 times faster than previous deep learning approaches.
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