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Approved Research

Synergistic MR Physics and Data-Driven Fast MRI

Principal Investigator: Mr Jiahao Huang
Approved Research ID: 100964
Approval date: November 30th 2023

Lay summary

Aim: 

This project aims to create a better Magnetic resonance imaging (MRI) using advanced Artificial intelligence (AI) technology, which will help doctors make more accurate diagnoses in less time and at a lower cost. The project will also explore the potential of combining MRI reconstruction with the disease diagnosis.

Scientific rationale: 

Using AI technology, we can create a high-quality MRI reconstruction tool that is fast, reliable, and easy to use. Our project aims to enhance the methodology through computational and clinical validation, making the tool more trustworthy for the clinical team to use for reporting.

Project Duration: 

The project will take 36 months to complete.

Public Health Impact: 

Better MRI reconstruction will help doctors see clearer and more detailed images, improving the accuracy of diagnoses and treatment outcomes. The acceleration of MRI scans will reduce waiting times for patients and lead to earlier detection and diagnosis of diseases, which can be crucial for conditions requiring immediate medical attention. The overall cost of healthcare will also be reduced due to the faster turnaround time and more efficient use of medical resources.