[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization

F Hu, AA Chen, H Horng, V Bashyam, C Davatzikos… - NeuroImage, 2023 - Elsevier
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …

Meta-analysis of the normal diffusion tensor imaging values of the median nerve and how they change in carpal tunnel syndrome

D Rojoa, F Raheman, J Rassam, RG Wade - Scientific Reports, 2021 - nature.com
Carpal tunnel syndrome (CTS) leads to distortion of axonal architecture, demyelination and
fibrosis within the median nerve. Diffusion tensor imaging (DTI) characterises tissue …

PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

LY Cai, Q Yang, CB Hansen, V Nath… - Magnetic resonance …, 2021 - Wiley Online Library
Purpose Diffusion weighted MRI imaging (DWI) is often subject to low signal‐to‐noise ratios
(SNRs) and artifacts. Recent work has produced software tools that can correct individual …

Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and …

KG Schilling, CMW Tax, F Rheault, C Hansen, Q Yang… - Neuroimage, 2021 - Elsevier
When investigating connectivity and microstructure of white matter pathways of the brain
using diffusion tractography bundle segmentation, it is important to understand potential …

Toward more robust and reproducible diffusion kurtosis imaging

RN Henriques, SN Jespersen… - Magnetic Resonance …, 2021 - Wiley Online Library
Purpose The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor
robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis …

Diffusion mri with machine learning

D Karimi, SK Warfield - Imaging Neuroscience, 2024 - direct.mit.edu
Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …

Anatomy-aware and acquisition-agnostic joint registration with synthmorph

M Hoffmann, A Hoopes, DN Greve, B Fischl… - Imaging …, 2024 - direct.mit.edu
Affine image registration is a cornerstone of medical-image analysis. While classical
algorithms can achieve excellent accuracy, they solve a time-consuming optimization for …

[HTML][HTML] Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context

LY Cai, HH Lee, NR Newlin, CI Kerley, P Kanakaraj… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Diffusion MRI (dMRI) streamline tractography is the gold-standard for in vivo estimation of
white matter (WM) pathways in the brain. However, the high angular resolution dMRI …

Robust fiber ODF estimation using deep constrained spherical deconvolution for diffusion MRI

T Yao, F Rheault, LY Cai, Z Asad, N Newlin… - arXiv preprint arXiv …, 2023 - arxiv.org
Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical imaging method for
capturing and modeling tissue microarchitecture at a millimeter scale. A common practice to …

Meta-analysis of the normal diffusion tensor imaging values of the peripheral nerves in the upper limb

RG Wade, F Lu, Y Poruslrani, C Karia, RG Feltbower… - Scientific Reports, 2023 - nature.com
Peripheral neuropathy affects 1 in 10 adults over the age of 40 years. Given the absence of
a reliable diagnostic test for peripheral neuropathy, there has been a surge of research into …