Summary
The 3D, time-resolved blood flow measurement technique known as 4D Flow Magnetic Resonance Imaging (MRI) is highly valuable for research and can play a crucial role in cardiovascular disease (CVD) diagnosis and treatment planning. However, it is limited by the fundamental trade-off between resolution, image quality, and scan time since current 4D Flow MRI methods use compressed sensing or spatiotemporal acceleration to achieve only a spatial resolution of 1-3mm and temporal resolution of 25-100ms in a scan time of ~10 minutes. To overcome this challenge, simulation-based imaging (SBI) may provide a method to augment 4D flow MRI data by fitting computational fluid dynamics (CFD) simulation to low-resolution and noisy 4D Flow MRI data.
The primary objective of SBI is to generate a high-resolution velocity field by optimizing the simulation to closely match the available data. This approach overcomes the aforementioned limitations of 4D Flow MRI, which often suffers from inherent errors in resolution and scan time, leading to both quantitative and qualitative discrepancies. By utilizing SBI, a more precise and comprehensive visualization of blood flow can be achieved.
Therefore, the ultimate goal of this project is to develop a novel SBI method for MRI that will be used to address a wide range of cardiovascular (CVDs) such as heart attacks, strokes, and congenital heart defects; providing high-quality images of structure and function with ultra-high resolution and fast scan time. The long-term impact of the proposed SBI framework is expected to revolutionize clinical diagnosis and surgical decision-making leading to more effective treatments and improved outcomes for CVD patients.
The primary objective of SBI is to generate a high-resolution velocity field by optimizing the simulation to closely match the available data. This approach overcomes the aforementioned limitations of 4D Flow MRI, which often suffers from inherent errors in resolution and scan time, leading to both quantitative and qualitative discrepancies. By utilizing SBI, a more precise and comprehensive visualization of blood flow can be achieved.
Therefore, the ultimate goal of this project is to develop a novel SBI method for MRI that will be used to address a wide range of cardiovascular (CVDs) such as heart attacks, strokes, and congenital heart defects; providing high-quality images of structure and function with ultra-high resolution and fast scan time. The long-term impact of the proposed SBI framework is expected to revolutionize clinical diagnosis and surgical decision-making leading to more effective treatments and improved outcomes for CVD patients.
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| Web resources: | https://cordis.europa.eu/project/id/101152749 |
| Start date: | 01-06-2024 |
| End date: | 31-05-2026 |
| Total budget - Public funding: | - 164 328,00 Euro |
Cordis data
Original description
The 3D, time-resolved blood flow measurement technique known as 4D Flow Magnetic Resonance Imaging (MRI) is highly valuable for research and can play a crucial role in cardiovascular disease (CVD) diagnosis and treatment planning. However, it is limited by the fundamental trade-off between resolution, image quality, and scan time since current 4D Flow MRI methods use compressed sensing or spatiotemporal acceleration to achieve only a spatial resolution of 1-3mm and temporal resolution of 25-100ms in a scan time of ~10 minutes. To overcome this challenge, simulation-based imaging (SBI) may provide a method to augment 4D flow MRI data by fitting computational fluid dynamics (CFD) simulation to low-resolution and noisy 4D Flow MRI data.The primary objective of SBI is to generate a high-resolution velocity field by optimizing the simulation to closely match the available data. This approach overcomes the aforementioned limitations of 4D Flow MRI, which often suffers from inherent errors in resolution and scan time, leading to both quantitative and qualitative discrepancies. By utilizing SBI, a more precise and comprehensive visualization of blood flow can be achieved.
Therefore, the ultimate goal of this project is to develop a novel SBI method for MRI that will be used to address a wide range of cardiovascular (CVDs) such as heart attacks, strokes, and congenital heart defects; providing high-quality images of structure and function with ultra-high resolution and fast scan time. The long-term impact of the proposed SBI framework is expected to revolutionize clinical diagnosis and surgical decision-making leading to more effective treatments and improved outcomes for CVD patients.
Status
SIGNEDCall topic
HORIZON-MSCA-2023-PF-01-01Update Date
23-11-2024
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