[HTML][HTML] What's new and what's next in diffusion MRI preprocessing

CMW Tax, M Bastiani, J Veraart, E Garyfallidis… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

Tractography methods and findings in brain tumors and traumatic brain injury

FC Yeh, A Irimia, DC de Almeida Bastos, AJ Golby - Neuroimage, 2021 - Elsevier
White matter fiber tracking using diffusion magnetic resonance imaging (dMRI) provides a
noninvasive approach to map brain connections, but improving anatomical accuracy has …

Efficient PCA denoising of spatially correlated redundant MRI data

RN Henriques, A Ianuş, L Novello, J Jovicich… - Imaging …, 2023 - direct.mit.edu
Marčenko-Pastur PCA (MPPCA) denoising is emerging as an effective means for noise
suppression in MR imaging (MRI) acquisitions with redundant dimensions. However …

Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1--In vivo small-animal imaging

IO Jelescu, F Grussu, A Ianus, B Hansen… - arxiv preprint arxiv …, 2022 - arxiv.org
The value of in vivo preclinical diffusion MRI (dMRI) is substantial. Small-animal dMRI has
been used for methodological development and validation, characterizing the biological …

Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small‐animal imaging

IO Jelescu, F Grussu, A Ianus, B Hansen… - Magnetic …, 2025 - Wiley Online Library
Small‐animal diffusion MRI (dMRI) has been used for methodological development and
validation, characterizing the biological basis of diffusion phenomena, and comparative …

Efficient PCA denoising of spatially correlated MRI data

RN Henriques, A Ianuş, L Novello, J Jovicich… - bioRxiv, 2023 - biorxiv.org
Marčenko-Pastur (MP) PCA denoising is emerging as an effective means for noise
suppression in MRI acquisitions with redundant dimensions. However, MP-PCA …

ROI-based analysis of diffusion indices in healthy subjects and subjects with deficit or non-deficit syndrome schizophrenia

Y Türk, İ Devecioğlu, A Küskün, C Öge… - Psychiatry Research …, 2023 - Elsevier
We analyzed DTI data involving 22 healthy subjects (HC), 15 patients with deficit syndrome
schizophrenia (DSZ), and 25 patients with non-deficit syndrome schizophrenia (NDSZ). We …

Signal drift in diffusion MRI of the brain: effects on intravoxel incoherent motion parameter estimates

O Jalnefjord, L Rosenqvist, A Warsame… - … Resonance Materials in …, 2024 - Springer
Objectives Signal drift has been put forward as one of the fundamental confounding factors
in diffusion MRI (dMRI) of the brain. This study characterizes signal drift in dMRI of the brain …

Consideration of cerebrospinal fluid intensity variation in diffusion weighted MRI

CB Hansen, V Nath, AE Hainline… - … of SPIE--the …, 2019 - pmc.ncbi.nlm.nih.gov
Diffusion weighted MRI (DW-MRI) depends on accurate quantification signal intensities that
reflect directional apparent diffusion coefficients (ADC). Signal drift and fluctuations during …

Current Challenges and Future Directions in Diffusion MRI: From Model-to Data-Driven Analysis

KG Schilling, B Rogers, AW Anderson… - … Diffusion MRI: MICCAI …, 2020 - Springer
Diffusion weighted MRI is a prominent non-invasive modality to probe in vivo tissue micro-
and macro-structure and has been widely applied throughout neuro-and body imaging. The …