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

AE Hainline, V Nath, P Parvathaneni… - Medical Imaging …, 2018 - spiedigitallibrary.org
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 …

[HTML][HTML] Test-retest reproducibility of in vivo oscillating gradient and microscopic anisotropy diffusion MRI in mice at 9.4 Tesla

N Rahman, K Xu, M Omer, MD Budde, A Brown… - Plos one, 2021 - journals.plos.org
Background and purpose Microstructure imaging with advanced diffusion MRI (dMRI)
techniques have shown increased sensitivity and specificity to microstructural changes in …

[HTML][HTML] Multiparametric MRI: from simultaneous rapid acquisition methods and analysis techniques using scoring, machine learning, radiomics, and deep learning to …

A Hagiwara, S Fujita, R Kurokawa, C Andica… - Investigative …, 2023 - journals.lww.com
With the recent advancements in rapid imaging methods, higher numbers of contrasts and
quantitative parameters can be acquired in less and less time. Some acquisition models …

Assessing DTI data quality using bootstrap analysis

S Heim, K Hahn, PG Sämann… - … in Medicine: An …, 2004 - Wiley Online Library
Diffusion tensor imaging (DTI) is an established method for characterizing and quantifying
ultrastructural brain tissue properties. However, DTI‐derived variables are affected by …

[HTML][HTML] Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain

M Chamberland, EP Raven, S Genc, K Duffy… - NeuroImage, 2019 - Elsevier
Various diffusion MRI (dMRI) measures have been proposed for characterising tissue
microstructure over the last 15 years. Despite the growing number of experiments using …

A novel DTI-QA tool: Automated metric extraction exploiting the sphericity of an agar filled phantom

S Chavez, J Viviano, M Zamyadi, PB Kingsley… - Magnetic resonance …, 2018 - Elsevier
Purpose To develop a quality assurance (QA) tool (acquisition guidelines and automated
processing) for diffusion tensor imaging (DTI) data using a common agar-based phantom …

ALGORITHM DEVELOPMENT FOR FUNCTIONAL MAGNETIC RESONANCE IMAGING ANALYSIS AND DIFFUSION TENSOR IMAGING DATA HARMONIZATION

BJ Fitzgerald - 2024 - hammer.purdue.edu
Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) via MRI
are powerful, noninvasive methods for imaging of the human brain. Here, two studies are …

[HTML][HTML] Pre-trial quality assurance of diffusion-weighted MRI for radiomic analysis and the role of harmonisation

Z Paquier, SL Chao, G Bregni, AV Sanchez, T Guiot… - Physica Medica, 2022 - Elsevier
Purpose The aim of this study was to perform a quantitative quality assurance of diffusion-
weighted MRI to assess the variability of the mean apparent diffusion coefficient (ADC) and …

Validation and noise robustness assessment of microscopic anisotropy estimation with clinically feasible double diffusion encoding MRI

L Kerkelä, RN Henriques, MG Hall… - Magnetic …, 2020 - Wiley Online Library
Purpose Double diffusion encoding (DDE) MRI enables the estimation of microscopic
diffusion anisotropy, yielding valuable information on tissue microstructure. A recent study …

[HTML][HTML] Partial correlation analyses of global diffusion tensor imaging-derived metrics in glioblastoma multiforme: Pilot study

D Cortez-Conradis, C Rios… - World Journal of …, 2015 - ncbi.nlm.nih.gov
AIM: To determine existing correlates among diffusion tensor imaging (DTI)-derived metrics
in healthy brains and brains with glioblastoma multiforme (GBM). METHODS: Case-control …