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Evaluation of inter-site bias and variance in diffusion-weighted MRI
2018
Medical Imaging 2018: Image Processing
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An understanding of the bias and variance of diffusion weighted magnetic resonance imaging (DW-MRI) acquisitions across scanners, study sites, or over time is essential for the incorporation of multiple ...
We present an analysis of the bias and variance of scans of the same subjects across different sites and evaluate their impact on statistical analyses. ...
The material presented are the views of the authors listed and do not necessarily reflect the views of the sponsoring entities. ...
doi:10.1117/12.2293735
pmid:29887662
pmcid:PMC5991622
dblp:conf/miip/HainlineNPBRNLE18
fatcat:cfaflx7ew5eq3b5fvuykwsc76e
Quantification of accuracy and precision of multi-center DTI measurements: A diffusion phantom and human brain study
2011
NeuroImage
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Measurement errors in accuracy and precision of each acquisition determine both the inter-site and intra-site variability. ...
The inter-site and intra-site variability of system performance of MRI scanners (due to sitedependent and time-variant variations) can have significant adverse effects on the integration of multi-center ...
Table 2 Comparisons of the inter-site and intra-site variance components in phantom data: non-weighted, weighted and gold standard *
Cell-wise Inter-site Variance Component
Cell-wise Intra-site Variance ...
doi:10.1016/j.neuroimage.2011.02.010
pmid:21316471
pmcid:PMC3085553
fatcat:vc654oytlfaovfndzvkzmyxdzi
Multi-Site Harmonization of Diffusion MRI Data via Method of Moments
2019
IEEE Transactions on Medical Imaging
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In this paper, we introduce a model-free method that is based on the method of moments for the direct harmonization of diffusion MRI data to reduce site-specific variations. ...
Recent multi-center efforts in the acquisition and analysis of diffusion MRI data significantly increase sample sizes and hence improve sensitivity and reliability in detecting subtle changes associated ...
Acknowledgments This work was supported in part by NIH grants (NS093842, EB009634, MH100217, AG042599, and EB022880). ...
doi:10.1109/tmi.2019.2895020
pmid:30676953
pmcid:PMC6606391
fatcat:cdbtkb2m6zamzepn4grpivypxu
A framework for the analysis of phantom data in multicenter diffusion tensor imaging studies
2012
Human Brain Mapping
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Our results suggest that initial outlier identification is extremely important for accurate assessment of inter-and intra-site variability, as well as for early identification of problems with data acquisition ...
Therefore, careful characterization of the contributions to variance in a multicenter study is extremely important for meaningful pooling of data from multiple sites. ...
, and the National Institute of Neurological Disorders and Stroke (Contract #s N01-HD02-3343; N01-MH9-0002; N01-NS-9-2314, -2315, -2316, -2317, -2319, and -2320; and NS34783). ...
doi:10.1002/hbm.22081
pmid:22461391
pmcid:PMC3458186
fatcat:elgochlzbndh5k45otrjmudu3m
MR Scanner Systems Should Be Adequately Characterized in Diffusion-MRI of the Breast
2014
PLoS ONE
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systems, introducing systematic bias in the measurements of diffusion indices. ...
Therefore, a specific quality control program for assessing and monitoring the performance of MR scanner systems for diffusion-MRI of the breast is highly recommended at every site, especially in multicenter ...
Piero Ghedin and anonymous reviewers for expert technical assistance and constructive/helpful comments, respectively. ...
doi:10.1371/journal.pone.0086280
pmid:24489711
pmcid:PMC3904912
fatcat:kgnekgkg3vdptgqnqomznxq7g4
Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets
[article]
2020
bioRxiv
pre-print
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However, a major challenge is our current poor ability to integrate measures across different large-scale datasets, due to inconsistencies in imaging and non-imaging measures across the different protocols ...
We identify pre-processing strategies that maximise the consistency across datasets and utilise multivariate regression to characterise sample differences contributing to study-level differences in WMH ...
ACKNOWLEDGMENTS We thank all Whitehall II participants for their time, the Whitehall II staff at the University College London, Mandy Pipkin and Barbora Krausova for assisting with recruitment and data ...
doi:10.1101/2020.07.28.208579
fatcat:cjfbgebflfetjkcc7ozmbbvway
Inter- and intra-observer reproducibility of ADC measurements in esophageal carcinoma primary tumors
2017
OncoTarget
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The mean pre-ADC of primary tumors was 1.26±0.24 (in 10 −3 mm 2 /s) from observers A and B, and inter-observer measurements were 0.01 bias vs. -0.09-0.09 limits of agreement, revealing a low inter-observer ...
variance. ...
Diffusion-weighted imaging (DWI) is a functional approach that detects water molecule diffusion in the body, and the apparent diffusion coefficient (ADC) has www.impactjournals.com/oncotarget/ Oncotarget ...
doi:10.18632/oncotarget.21639
pmid:29190963
pmcid:PMC5696229
fatcat:hmhzishmefgbnjeytgzyt5jxse
Analysis of the contribution of experimental bias, experimental noise, and inter-subject biological variability on the assessment of developmental trajectories in diffusion MRI studies of the brain
2015
NeuroImage
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In this study we examined scans of 61 individuals (aged 4-22 years) from the NIH MRI study of normal brain development. Two scans were collected with different protocols (low and high resolution). ...
Keywords: DTI Brain development Experimental variability Mixed effects model Metrics derived from the diffusion tensor, such as fractional anisotropy (FA) and mean diffusivity (MD) have been used in many ...
Data used in the preparation of this article were obtained from the Pediatric MRI Data Repository created by the NIH MRI Study of Normal Brain Development. ...
doi:10.1016/j.neuroimage.2014.12.084
pmid:25583609
pmcid:PMC4350793
fatcat:guyf7kykrvaypfjx3tdbuipsxm
Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators
2019
Medical Imaging 2019: Image Processing
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Diffusion weighted magnetic resonance imaging (DW-MRI) is interpreted as a quantitative method that is sensitive to tissue microarchitecture at a millimeter scale. ...
Further validation and evaluation with contemporaneous imaging are necessary, but the NSDN is promising avenue for building understanding of microarchitecture in a consistent and device-independent manner ...
This work was conducted in part using the resources of the Advanced Computing Center for Research and Education at Vanderbilt University, Nashville, TN. ...
doi:10.1117/12.2512902
pmid:32089583
pmcid:PMC7034942
fatcat:46b55bgi6zf3pilhioqgmnf2gy
Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients,in-vitroandin-vivoreproducibility
2016
World Journal of Radiology
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Diffusion-weighted magnetic resonance imaging in cancer: Reported apparent diffusion coefficients, in vitro and in vivo reproducibility. ...
Core tip: Diffusion-weighted magnetic resonance imaging was highlighted as a potential cancer imaging biomarker by a team of experts in a report published in 2009. ...
Bland-Altman plots help to illustrate the bias-variance relationship and limits of agreement [124] . ...
doi:10.4329/wjr.v8.i1.21
pmid:26834942
pmcid:PMC4731347
fatcat:pcwvsbujrfesvcjdhdg33sy27q
Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions
2022
Frontiers in Radiology
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Quantitative magnetic resonance imaging (qMRI) can increase the specificity and sensitivity of conventional weighted MRI to underlying pathology by comparing meaningful physical or chemical parameters, ...
For both the GM and WM regions, and the raw and denoised data, our results suggest that the principal source of variance is the inter-subject variability, showing a higher coefficient of variation (CoV ...
We would like to thank the MRI facilities of the Human Neuroscience Platform of the Fondation Campus Biotech Geneva and the Department of Radiology of the Hospital Valais de Sion. ...
doi:10.3389/fradi.2022.930666
fatcat:fkmhna2qxzhsfllgxfr6zddxqu
Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths
2015
NeuroImage
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As quantitative MRI becomes more widely used in clinical practice and research studies, it is important to establish reproducibility and reliability of diffusion measures in the context of similar protocols ...
Intraclass correlation (ICC) and coefficient of variation (CoV) of fractional anisotropy (FA) and mean diffusivity (MD) were evaluated in sixteen white matter and twenty-six gray matter bilateral regions ...
Acknowledgments We are grateful to the BLSA participants and staff for their dedication to these studies and the staff of the Kennedy Krieger Institute and National Institute on Aging MRI facilities for ...
doi:10.1016/j.neuroimage.2015.06.078
pmid:26146196
pmcid:PMC5519407
fatcat:jqbc2o6igzhndhpx57ta5ptmqu
Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV
2013
European Journal of Nuclear Medicine and Molecular Imaging
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Purpose Head and neck squamous cell carcinoma (HNSCC) may cause a decreased apparent diffusion coefficient (ADC) on diffusion-weighted magnetic resonance imaging (DW MRI) and an increased standardized ...
We analysed the reproducibility of ADC and SUV measurements in HNSCC and evaluated whether these biomarkers are correlated or independent. ...
Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) ...
doi:10.1007/s00259-013-2351-9
pmid:23436068
pmcid:PMC3644194
fatcat:zk4vwfii4vewvihdlkpcofkw3e
Quantitative magnetic resonance imaging of hepatic steatosis: Validation inex vivohuman livers
2015
Hepatology
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Intra-observer agreement, inter-observer agreement and repeatability showed a significantly smaller variance for MRI-PDFF than for histologic steatosis grading (all p<0.001). ...
Intraobserver agreement, inter-observer agreement and repeatability of MRI-PDFF and histologic grading were assessed through Bland-Altman analyses. ...
revealed a higher variance and larger bias of histological steatosis grading. ...
doi:10.1002/hep.28012
pmid:26224591
pmcid:PMC4652324
fatcat:3la5jnwerbfmhnpity3wfde5ti
Integrating large-scale neuroimaging research datasets: harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets
2021
NeuroImage
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However, a major challenge is our current poor ability to integrate measures across different large-scale datasets, due to inconsistencies in imaging and non-imaging measures across the different protocols ...
through the alignment of demographic, cognitive and physiological variables. ...
Acknowledgments We thank all Whitehall II participants for their time, the Whitehall II staff at the University College London, Mandy Pipkin and Barbora Krausova for assisting with recruitment and data ...
doi:10.1016/j.neuroimage.2021.118189
pmid:34022383
pmcid:PMC8285593
fatcat:f7fubxuutnhzxok4eup2y5ezoi
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