452-03-013 / 452-03-013 ISMRM Abstract

SIINR: Structurally Informed Implicit Neural Representation for Super-Resolution of Highly Anisotropic Clinical Diffusion MRI

Primary: Diffusion - Diffusion Reconstruction

Secondary: Acquisition & Reconstruction - AI methods

452-03-013 · Next-Generation MRI Image Enhancement · Tuesday, 12 May, 4:00 PM–5:36 PM · Power Pitch Theatre 2

Keywords: Tractography Super-resolution Implicit neural representation Quantitaitive diffusion imaging Clinical diffusion MRI

Accepted

Tom Hendriks ¹, Martha E Shenton², William Consagra³, Anna Vilanova¹, Maxime Chamberland¹, Yogesh Rathi^2,4

¹Eindhoven University of Technology, Eindhoven, Netherlands

²Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America

³Medical University of South Carolina, Charleston, United States of America

⁴Brigham and Women’s Hospital, Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America

Presenting Author: Tom Hendriks

Synopsis

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References

1. Pierpaoli, Carlo, et al. "Diffusion tensor MR imaging of the human brain." Radiology 201.3 (1996): 637-648.

2. Consagra, William, Lipeng Ning, and Yogesh Rathi. "Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRI." Medical Image Analysis 93 (2024): 103105.

3. Hendriks, Tom, Anna Vilanova, and Maxime Chamberland. "Neural spherical harmonics for structurally coherent continuous representation of diffusion MRI signal." International Workshop on Computational Diffusion MRI. Cham: Springer Nature Switzerland, 2023.

4. Tom Hendriks, Anna Vilanova, Maxime Chamberland; Implicit neural representation of multi-shell constrained spherical deconvolution for continuous modeling of diffusion MRI. Imaging Neuroscience 2025; 3 imag_a_00501. doi: https://doi.org/10.1162/imag_a_00501 [doi]

5. Luo, Suyang, et al. "Diffusion MRI super-resolution reconstruction via sub-pixel convolution generative adversarial network." Magnetic Resonance Imaging 88 (2022): 101-107.

6. Ordinola, Alfredo, et al. "Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning." Scientific Reports 15.1 (2025): 6580.

7. Jacobs, Grace R., et al. "An introduction to the human connectome project for early psychosis." Schizophrenia Bulletin 51.3 (2025): 658-671.

8. Lu, Zhengyang, and Ying Chen. "Single image super-resolution based on a modified U-net with mixed gradient loss." signal, image and video processing 16.5 (2022): 1143-1151.

9. Zhang, Fan, et al. "An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan." Neuroimage 179 (2018): 429-447.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/452-03-013