Rapid Whole Brain Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation

• URL: http://arxiv.org/abs/2502.08634v1
• Date: Wed, 12 Feb 2025 18:48:12 GMT
• Title: Rapid Whole Brain Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation
• Authors: Jun Lyu, Lipeng Ning, William Consagra, Qiang Liu, Richard J. Rushmore, Berkin Bilgic, Yogesh Rathi,
• Abstract summary: We propose Rotating-view super-resolution (ROVER)-MRI, an unsupervised neural network-based algorithm. ROVER-MRI effectively reduces scan time by 2-fold while maintaining fine anatomical details. We achieve the reconstruction of a whole human brain in-vivo T2-weighted image with an unprecedented 180mum isotropic spatial resolution.
• Score: 6.894117592271847
• License:
• Abstract: Purpose: To develop and validate a novel image reconstruction technique using implicit neural representations (INR) for multi-view thick-slice acquisitions while reducing the scan time but maintaining high signal-to-noise ratio (SNR). Methods: We propose Rotating-view super-resolution (ROVER)-MRI, an unsupervised neural network-based algorithm designed to reconstruct MRI data from multi-view thick slices, effectively reducing scan time by 2-fold while maintaining fine anatomical details. We compare our method to both bicubic interpolation and the current state-of-the-art regularized least-squares super-resolution reconstruction (LS-SRR) technique. Validation is performed using ground-truth ex-vivo monkey brain data, and we demonstrate superior reconstruction quality across several in-vivo human datasets. Notably, we achieve the reconstruction of a whole human brain in-vivo T2-weighted image with an unprecedented 180{\mu}m isotropic spatial resolution, accomplished in just 17 minutes of scan time on a 7T MRI scanner. Results: ROVER-MRI outperformed LS-SRR method in terms of reconstruction quality with 22.4% lower relative error (RE) and 7.5% lower full-width half maximum (FWHM) indicating better preservation of fine structural details in nearly half the scan time. Conclusion: ROVER-MRI offers an efficient and robust approach for mesoscale MR imaging, enabling rapid, high-resolution whole-brain scans. Its versatility holds great promise for research applications requiring anatomical details and time-efficient imaging.

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