Results 11 to 20 of about 23,380 (217)
Fiber tractography using machine learning [PDF]
NeuroImage, 2017 AbstractWe present a fiber tractography approach based on a random forest classification and voting process, guiding each step of the streamline progression by directly processing raw diffusion-weighted signal intensities. For comparison to the state-of-the-art, i.e. tractography pipelines that rely on mathematical modeling, we performed a quantitative
Peter F Neher +2 more
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SuperDTI: Ultrafast DTI and fiber tractography with deep learning [PDF]
Magnetic Resonance in Medicine, 2021 PurposeTo develop a deep learning–based reconstruction framework for ultrafast and robust diffusion tensor imaging and fiber tractography.MethodsSuperDTI was developed to learn the nonlinear relationship between DWIs and the corresponding diffusion tensor parameter maps.
Hongyu Li, Zifei Liang, Chaoyi Zhang
exaly +3 more sources
3D fiber tractography with susceptibility tensor imaging [PDF]
NeuroImage, 2012 Gradient-echo MRI has revealed anisotropic magnetic susceptibility in the brain white matter. This magnetic susceptibility anisotropy can be measured and characterized with susceptibility tensor imaging (STI). In this study, a method of fiber tractography based on STI is proposed and demonstrated in the mouse brain.
Chunlei Liu, Wei Li, Bing Wu
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NeuroImage, 2021 White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains.
Kurt G. Schilling +140 more
doaj +3 more sources
Joint Multi-Fiber NODDI Parameter Estimation and Tractography using the Unscented Information Filter
Frontiers in Neuroscience, 2016 Tracing white matter fiber bundles is an integral part of analyzing brain connectivity. An accurate estimate of the underlying tissue parameters is also paramount in several neuroscience applications.
Yogesh eRathi, Pradyumna eReddy
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TWO-TENSOR FIBER TRACTOGRAPHY [PDF]
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007 Estimating white matter fiber pathways from a diffusion tensor MRI dataset has many important applications in medical research. However, the standard approach of performing tracking on single-tensor estimates per voxel is confounded by regions of multiple pathways in different directions.
Bergmann, Ørjan +3 more
openaire +3 more sources
Diffusion MRI fiber tractography of the brain [PDF]
NMR in Biomedicine, 2017 The ability of fiber tractography to delineate non‐invasively the white matter fiber pathways of the brain raises possibilities for clinical applications and offers enormous potential for neuroscience. In the last decade, fiber tracking has become the method of choice to investigate quantitative MRI parameters in specific bundles of white matter.
Ben Jeurissen +3 more
openaire +4 more sources
Seeing More by Showing Less: Orientation-Dependent Transparency Rendering for Fiber Tractography Visualization. [PDF]
PLoS ONE, 2015 Fiber tractography plays an important role in exploring the architectural organization of fiber trajectories, both in fundamental neuroscience and in clinical applications.
Chantal M W Tax +7 more
doaj +1 more source
Reconstruction of white matter tracts via repeated deterministic streamline tracking--initial experience. [PDF]
PLoS ONE, 2013 Diffusion Tensor Imaging (DTI) and fiber tractography are established methods to reconstruct major white matter tracts in the human brain in-vivo. Particularly in the context of neurosurgical procedures, reliable information about the course of fiber ...
Miriam H A Bauer +7 more
doaj +1 more source
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions [PDF]
, 2019 Diffusion tractography in brain connectomics often involves tracing axonal trajectories across gray-white matter boundaries in gyral blades of complex cortical convolutions. To date, gyral bias is observed in most tractography algorithms with streamlines
Feng, Yuanjing +4 more
core +3 more sources