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Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
by
Cercignani, Mara
, Palombo, Marco
, Tregidgo, Henry F J
, Figini, Matteo
, Alexander, Daniel C
, McNabb, Carolyn B
, Evans, C John
, Cicimen, Alp G
, Messaritaki, Eirini
, Jones, Derek K
in
Configuration management
/ High resolution
/ Image acquisition
/ Image quality
/ Image resolution
/ Neural networks
2024
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Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
by
Cercignani, Mara
, Palombo, Marco
, Tregidgo, Henry F J
, Figini, Matteo
, Alexander, Daniel C
, McNabb, Carolyn B
, Evans, C John
, Cicimen, Alp G
, Messaritaki, Eirini
, Jones, Derek K
in
Configuration management
/ High resolution
/ Image acquisition
/ Image quality
/ Image resolution
/ Neural networks
2024
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Do you wish to request the book?
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
by
Cercignani, Mara
, Palombo, Marco
, Tregidgo, Henry F J
, Figini, Matteo
, Alexander, Daniel C
, McNabb, Carolyn B
, Evans, C John
, Cicimen, Alp G
, Messaritaki, Eirini
, Jones, Derek K
in
Configuration management
/ High resolution
/ Image acquisition
/ Image quality
/ Image resolution
/ Neural networks
2024
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Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
Paper
Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI
2024
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Overview
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.
Publisher
Cornell University Library, arXiv.org
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