4.7 Article

Randomized iterative spherical -deconvolution informed tractogram filtering

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Neurosciences

Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses

Viljami Sairanen et al.

Summary: This study introduces an enhanced filtering algorithm to address motion artefacts in human brain structural connectivity analysis, demonstrating its effectiveness through comprehensive Monte-Carlo simulations and infant data. This robust filtering method proves to be beneficial in clinical studies with uncooperative patient groups.

NEUROIMAGE (2022)

Article Neurosciences

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

Kurt G. Schilling et al.

Summary: This study investigates the impact of various factors on diffusion tractography bundle segmentation, including scan repeats, scanners, vendors, acquisition resolution, diffusion schemes, and diffusion sensitization. The acquisition protocol, particularly resolution, has the largest effect on reproducibility and features variation, followed by vendor and scanner effects. Different segmentation workflows show varying robustness to sources of variation. The choice of bundle segmentation workflows has a bigger impact on the results than other confounding factors.

NEUROIMAGE (2021)

Article Neurosciences

Hierarchical Microstructure Informed Tractography

Mario Ocampo-Pineda et al.

Summary: The study introduces a new formulation for tractography that uses multilevel grouping to accurately capture the white matter arrangement, resulting in improved accuracy of tracking outcomes.

BRAIN CONNECTIVITY (2021)

Article Multidisciplinary Sciences

The diffusion-simulated connectivity (DiSCo) dataset

Jonathan Rafael-Patino et al.

Summary: The methodological development in the mapping of the brain structural connectome from diffusion-weighted MRI has focused on the association between white matter tractography methods and information about microstructural features, and validated this using a numerical phantom with complex anatomical fiber pathway trajectories. This study provides a more comprehensive assessment of the reliability of brain structural connectome estimation and its adherence to actual microstructural features, filling gaps left by previous validation methods.

DATA IN BRIEF (2021)

Article Engineering, Biomedical

Diffusion MRI tractography filtering techniques change the topology of structural connectomes

Matteo Frigo et al.

Journal of Neural Engineering (2020)

Review Engineering, Biomedical

Common misconceptions, hidden biases and modern challenges of dMRI tractography

Francois Rheault et al.

JOURNAL OF NEURAL ENGINEERING (2020)

Review Biophysics

The role of diffusion MRI in neuroscience

Yaniv Assaf et al.

NMR IN BIOMEDICINE (2019)

Review Clinical Neurology

Tractography for Surgical Neuro-Oncology Planning: Towards a Gold Standard

Sandip S. Panesar et al.

NEUROTHERAPEUTICS (2019)

Article Neurosciences

TractSeg - Fast and accurate white matter tract segmentation

Jakob Wasserthal et al.

NEUROIMAGE (2018)

Article Multidisciplinary Sciences

The challenge of mapping the human connectome based on diffusion tractography

Klaus H. Maier-Hein et al.

NATURE COMMUNICATIONS (2017)

Article Anatomy & Morphology

The white matter query language: a novel approach for describing human white matter anatomy

Demian Wassermann et al.

BRAIN STRUCTURE & FUNCTION (2016)

Article Computer Science, Interdisciplinary Applications

COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography

Alessandro Daducci et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)

Article Neurosciences

A new compression format for fiber tracking datasets

Caroline Presseau et al.

NEUROIMAGE (2015)

Article Biochemical Research Methods

Evaluation and statistical inference for human connectomes

Franco Pestilli et al.

NATURE METHODS (2014)

Article Multidisciplinary Sciences

Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

Cibu Thomas et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)

Article Mathematical & Computational Biology

Dipy, a library for the analysis of diffusion MRI data

Eleftherios Garyfallidis et al.

FRONTIERS IN NEUROINFORMATICS (2014)

Article Neurosciences

The WU-Minn Human Connectome Project: An overview

David C. Van Essen et al.

NEUROIMAGE (2013)

Article Neurosciences

SIFT: Spherical-deconvolution informed filtering of tractograms

Robert E. Smith et al.

NEUROIMAGE (2013)

Article Neurosciences

The minimal preprocessing pipelines for the Human Connectome Project

Matthew F. Glasser et al.

NEUROIMAGE (2013)

Review Radiology, Nuclear Medicine & Medical Imaging

MR Tractography: A Review of Its Clinical Applications

Kei Yamada et al.

MAGNETIC RESONANCE IN MEDICAL SCIENCES (2009)