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Evaluation of inter-site bias and variance in diffusion-weighted MRI

Allison E. Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Baxter Rogers, Allen T. Newton, Jeffrey Luci, Heidi Edmonson, Hakmook Kang, Bennett A. Landman, Elsa D. Angelini, Bennett A. Landman
2018 Medical Imaging 2018: Image Processing  
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

Tong Zhu, Rui Hu, Xing Qiu, Michael Taylor, Yuen Tso, Constantin Yiannoutsos, Bradford Navia, Susumu Mori, Sven Ekholm, Giovanni Schifitto, Jianhui Zhong
2011 NeuroImage  
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

Khoi Minh Huynh, Geng Chen, Ye Wu, Dinggang Shen, Pew-Thian Yap
2019 IEEE Transactions on Medical Imaging  
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

Lindsay Walker, Michael Curry, Amritha Nayak, Nicholas Lange, Carlo Pierpaoli
2012 Human Brain Mapping  
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

Marco Giannelli, Roberto Sghedoni, Chiara Iacconi, Mauro Iori, Antonio Claudio Traino, Maria Guerrisi, Mario Mascalchi, Nicola Toschi, Stefano Diciotti, Gayle E. Woloschak
2014 PLoS ONE  
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]

Valentina Bordin, Ilaria Bertani, Irene Mattioli, Vaanathi Sundaresan, Paul McCarthy, Sana Suri, Enikő Zsoldos, Nicola Filippini, Abda Mahmood, Luca Melazzini, Maria Marcella Laganà, Giovanna Zamboni (+8 others)
2020 bioRxiv   pre-print
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

Zhimin Ye, Jun Fang, Shujun Dai, Tieming Xie, Fangzheng Wang, Zhun Wang, Kai Li, Zhenfu Fu, Yuezhen Wang
2017 OncoTarget  
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

Neda Sadeghi, Amritha Nayak, Lindsay Walker, M. Okan Irfanoglu, Paul S. Albert, Carlo Pierpaoli
2015 NeuroImage  
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

Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu (+9 others)
2019 Medical Imaging 2019: Image Processing  
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

Maysam M Jafar
2016 World Journal of Radiology  
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

Elda Fischi-Gomez, Gabriel Girard, Philipp J. Koch, Thomas Yu, Marco Pizzolato, Julia Brügger, Gian Franco Piredda, Tom Hilbert, Andéol G. Cadic-Melchior, Elena Beanato, Chang-Hyun Park, Takuya Morishita (+7 others)
2022 Frontiers in Radiology  
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

Vijay K. Venkatraman, Christopher E. Gonzalez, Bennett Landman, Joshua Goh, David A. Reiter, Yang An, Susan M. Resnick
2015 NeuroImage  
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

Arthur Varoquaux, Olivier Rager, Karl-Olof Lovblad, Karen Masterson, Pavel Dulguerov, Osman Ratib, Christoph D. Becker, Minerva Becker
2013 European Journal of Nuclear Medicine and Molecular Imaging  
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

Peter Bannas, Harald Kramer, Diego Hernando, Rashmi Agni, Ashley M. Cunningham, Rakesh Mandal, Utaroh Motosugi, Samir D. Sharma, Alejandro Munoz del Rio, Luis Fernandez, Scott B. Reeder
2015 Hepatology  
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

Valentina Bordin, Ilaria Bertani, Irene Mattioli, Vaanathi Sundaresan, Paul McCarthy, Sana Suri, Enikő Zsoldos, Nicola Filippini, Abda Mahmood, Luca Melazzini, Maria Marcella Laganà, Giovanna Zamboni (+8 others)
2021 NeuroImage  
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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