Advanced MRI scan acquisition metrics improve baseline disease severity predictions compared to traditional community MRI scan metrics

A Al-Shawwa, K Ost, D Cadotte, D Anderson… - medRxiv, 2022 - medrxiv.org
Abstract Degenerative Cervical Myelopathy (DCM) is the functional derangement of the
spinal cord and acts as one of the most common atraumatic spinal cord injuries. Magnetic …

Random matrix theory denoising minimizes cross-scanner,-protocol variability and maximizes repeatability of higher-order diffusion metrics

B Ades-Aron, S Coelho, J Veraart… - ISMRM Annual …, 2021 - archive.ismrm.org
Translation of diffusion MRI-derived quantitative biomarkers into clinical decision making
has been hampered by within-scanner and cross-scanner variability. We compare intra …

[HTML][HTML] Short-term repeatability and long-term reproducibility of quantitative MR imaging biomarkers in a single centre longitudinal study

M Salluzzi, CR McCreary, DG Gobbi, ML Lauzon… - NeuroImage, 2022 - Elsevier
Quantitative imaging biomarkers (QIBs) can be defined as objective measures that are
sensitive and specific to changes in tissue physiology. Provided the acquired QIBs are not …

Same Brain, Different Look?—The Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters

R Thieleking, R Zhang, M Paerisch, K Wirkner… - Journal of Clinical …, 2021 - mdpi.com
In clinical diagnostics and longitudinal studies, the reproducibility of MRI assessments is of
high importance in order to detect pathological changes, but developments in MRI hard-and …

Using the wild bootstrap to quantify uncertainty in mean apparent propagator MRI

X Gu, A Eklund, E Özarslan, H Knutsson - Frontiers in …, 2019 - frontiersin.org
Purpose: Estimation of uncertainty of MAP-MRI metrics is an important topic, for several
reasons. Bootstrap derived uncertainty, such as the standard deviation, provides valuable …

Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure

AV Avram, JE Sarlls, AS Barnett, E Özarslan, C Thomas… - Neuroimage, 2016 - Elsevier
Diffusion tensor imaging (DTI) is the most widely used method for characterizing
noninvasively structural and architectural features of brain tissues. However, the assumption …

Potential of a statistical approach for the standardization of multicenter diffusion tensor data: A phantom study

C Timmermans, D Smeets, J Verheyden… - Journal of Magnetic …, 2019 - Wiley Online Library
Background Diffusion tensor imaging (DTI) parameters, such as fractional anisotropy (FA),
allow examining the structural integrity of the brain. However, the true value of these …

Harmonization of multi-site DTI and NODDI data using the combined association test

Y Saito, K Kamagata, N Maikusa, C Andica, W Uchida… - archive.ismrm.org
When analyzing multi-site diffusion MRI (dMRI) data, metrics should be harmonized to
remove the site effect. In this study, we applied the combined association test (ComBat) …

Multi-site study of diffusion metric variability: characterizing the effects of site, vendor, field strength, and echo time using the histogram distance

KG Helmer, MC Chou, RI Preciado… - Medical Imaging …, 2016 - spiedigitallibrary.org
MRI-based multi-site trials now routinely include some form of diffusion-weighted imaging
(DWI) in their protocol. These studies can include data originating from scanners built by …

Large-scale Normative Modeling of Brain Microstructure

JE Villalón-Reina, AH Zhu, TM Nir… - 2023 19th …, 2023 - ieeexplore.ieee.org
Normative models of brain metrics based on large populations are extremely valuable for
detecting brain abnormalities in patients with dementia, psychiatric, or developmental …