High-dimensionality undersampled patch-based reconstruction (HD-PROST) for accelerated multi-contrast MRI.

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Medical Imaging Reconstruction
• Biomedical Engineering

Background:

• Accelerated MRI acquisition is crucial for reducing scan times and improving patient comfort.
• Reconstructing high-quality images from undersampled data remains a significant challenge, especially for multi-contrast imaging.

Purpose of the Study:

• To develop and evaluate a novel reconstruction technique, high-dimensionality undersampled patch-based reconstruction (HD-PROST), for highly accelerated 2D and 3D multi-contrast MRI.
• To assess the performance of HD-PROST in simultaneous T1 and T2 mapping using 2D Magnetic Resonance Fingerprinting (MRF) and in reconstructing multiple 3D Magnetization Transfer (MT)-weighted images.

Main Methods:

• HD-PROST jointly reconstructs multi-contrast images by exploiting local and non-local redundancy and inter-contrast correlations.
• The method enforces multi-dimensional low-rank constraints on undersampled image data.
• Evaluations were performed using 2D MRF phantom and in vivo brain acquisitions, as well as 3D MT-weighted imaging.

Main Results:

• HD-PROST accurately estimated T1 and T2 values in phantom studies compared to gold standard spin echo acquisitions.
• In vivo 2D MRF experiments yielded good quality T1 and T2 maps with significantly reduced scan time (~2.5 s).
• For 3D MT-weighted imaging, HD-PROST achieved image quality comparable to fully sampled data with a 6.5-fold acceleration factor.

Conclusions:

• HD-PROST enables rapid acquisition of high-quality multi-contrast 2D and 3D MRI.
• The technique reconstructs images without compromising diagnostic quality, even at high acceleration factors.
• HD-PROST has the potential to enhance the utility of conventional MRI parameter mapping techniques.