[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
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
Carpal tunnel syndrome (CTS) leads to distortion of axonal architecture, demyelination and
fibrosis within the median nerve. Diffusion tensor imaging (DTI) characterises tissue …
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
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 …
(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 …
When investigating connectivity and microstructure of white matter pathways of the brain
using diffusion tractography bundle segmentation, it is important to understand potential …
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 …
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 …
capabilities including noninvasive probing of tissue microstructure and structural …
Anatomy-aware and acquisition-agnostic joint registration with synthmorph
Affine image registration is a cornerstone of medical-image analysis. While classical
algorithms can achieve excellent accuracy, they solve a time-consuming optimization for …
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
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 …
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
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 …
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 …
a reliable diagnostic test for peripheral neuropathy, there has been a surge of research into …