Laso, Pablo;
Cerri, Stefano;
Sorby-Adams, Annabel;
Guo, Jennifer;
Mateen, Farrah;
Goebl, Philipp;
Wu, Jiaming;
... Iglesias, Juan Eugenio; + view all
(2024)
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.
In:
Proceedings - 2024 IEEE International Symposium on Biomedical Imaging (ISBI).
(pp. pp. 1-5).
IEEE: Athens, Greece.
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2312.05119v2.pdf - Accepted Version Download (2MB) | Preview |
Abstract
Brain atrophy and white matter hyperintensity (WMH) are critical neuroimaging features for ascertaining brain injury in cerebrovascular disease and multiple sclerosis. Automated segmentation and quantification is desirable but existing methods require high-resolution MRI with good signal-to-noise ratio (SNR). This precludes application to clinical and low-field portable MRI (pMRI) scans, thus hampering large-scale tracking of atrophy and WMH progression, especially in underserved areas where pMRI has huge potential. Here we present a method that segments white matter hyperintensity and 36 brain regions from scans of any resolution and contrast (including pMRI) without retraining. We show results on eight public datasets and on a private dataset with paired high- and low-field scans (3T and 64mT), where we attain strong correlation between the WMH (ρ=.85) and hippocampal volumes (ρ=.89) estimated at both fields. Our method is publicly available as part of FreeSurfer, at: http://surfer.nmr.mgh.harvard.edu/fswiki/WMH-SynthSeg.
| Type: | Proceedings paper |
|---|---|
| Title: | Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI |
| Event: | 2024 IEEE International Symposium on Biomedical Imaging (ISBI) |
| Dates: | 27 May 2024 - 30 May 2024 |
| ISBN-13: | 979-8-3503-1333-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ISBI56570.2024.10635502 |
| Publisher version: | https://doi.org/10.1109/ISBI56570.2024.10635502 |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Atrophy, Neuroimaging, Image segmentation, Multiple sclerosis, Image resolution, Magnetic resonance imaging, White matter |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10200545 |
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