Image quality transfer of diffusion MRI guided By high-resolution structural MRI

Cicimen, Alp G., Tregidgo, Henry F. J., Figini, Matteo, Messaritaki, Eirini ORCID: https://orcid.org/0000-0002-9917-4160, McNabb, Carolyn B. ORCID: https://orcid.org/0000-0002-6434-5177, Palombo, Marco ORCID: https://orcid.org/0000-0003-4892-7967, Evans, C. John ORCID: https://orcid.org/0000-0002-6619-4245, Cercignani, Mara ORCID: https://orcid.org/0000-0002-4550-2456, Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049 and Alexander, Daniel C. 2025. Image quality transfer of diffusion MRI guided By high-resolution structural MRI. Presented at: CDMRI 2024, Marrakesh, Morocco, 06 October 2024. Published in: Chamberland, M., Hendriks, T., Karaman, M., Mito, R., Newlin, N., Shailja, S. and Thompson, E. eds. Computational Diffusion MRI. Lecture Notes in Computer Science Springer Nature Switzerland, pp. 106-118. 10.1007/978-3-031-86920-4_10

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Abstract

Prior work on the Image Quality Transfer on Diffusion MRI (dMRI) has shown significant improvement over traditional interpolation methods. However, the difficulty in obtaining ultra-high resolution Diffusion MRI scans poses a problem in training neural networks to obtain high-resolution dMRI scans. Here we hypothesise that the inclusion of structural MRI images, which can be acquired at much higher resolutions, can be used as a guide to obtaining a more accurate high-resolution dMRI output. To test our hypothesis, we have constructed a novel framework that incorporates structural MRI scans together with dMRI to obtain high-resolution dMRI scans. We set up tests which evaluate the validity of our claim through various configurations and compare the performance of our approach against a unimodal approach. Our results show that the inclusion of structural MRI scans do lead to an improvement in high-resolution image prediction when T1w data is incorporated into the model input.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Psychology Research Institutes & Centres > Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	Springer Nature Switzerland
ISBN:	9783031869198
Last Modified:	11 Dec 2025 14:35
URI:	https://orca.cardiff.ac.uk/id/eprint/183144

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