scholarly journals Cortical and Subcortical Connections of the Human Claustrum Revealed In Vivo by Constrained Spherical Deconvolution Tractography

2013 ◽  
Vol 25 (2) ◽  
pp. 406-414 ◽  
Author(s):  
D. Milardi ◽  
P. Bramanti ◽  
C. Milazzo ◽  
G. Finocchio ◽  
A. Arrigo ◽  
...  
Keyword(s):  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution

scholarly journals Crossing muscle fibers of the human tongue resolved in vivo using constrained spherical deconvolution

2019 ◽  
Vol 50 (1) ◽  
pp. 96-105 ◽  
Author(s):  
Luuk Voskuilen ◽  
Valentina Mazzoli ◽  
Jos Oudeman ◽  
Alfons J.M. Balm ◽  
Ferdinand van der Heijden ◽  
...  
Keyword(s):  
Muscle Fibers ◽  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution ◽  
Human Tongue

scholarly journals Enabling constrained spherical deconvolution and diffusional variance decomposition with tensor-valued diffusion MRI

2021 ◽  
Author(s):  
Philippe Karan ◽  
Alexis Reymbaut ◽  
Guillaume Gilbert ◽  
Maxime Descoteaux
Keyword(s):  
Diffusion Mri ◽  
Diffusion Tensor ◽  
Simulated Data ◽  
Orientation Distribution ◽  
Variance Decomposition ◽  
Distribution Functions ◽  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution ◽  
Fiber Orientation Distribution

Diffusion tensor imaging (DTI) is widely used to extract valuable tissue measurements and white matter (WM) fiber orientations, even though its lack of specificity is now well-known, especially for WM fiber crossings. Models such as constrained spherical deconvolution (CSD) take advantage of HARDI data to compute fiber orientation distribution functions (fODF) and tackle the orientational part of the DTI limitations. Furthermore, the recent introduction of tensor-valued diffusion MRI allows for diffusional variance decomposition (DIVIDE), opening the door to the computation of measures more specific to microstructure than DTI measures, such as microscopic fractional anisotropy (μFA). However, tensor-valued diffusion MRI data is not compatible with latest versions of CSD and the impacts of such atypical data on fODF reconstruction with CSD are yet to be studied. In this work, we lay down the mathematical and computational foundations of a tensor-valued CSD and use simulated data to explore the effects of various combinations of diffusion encodings on the angular resolution of extracted fOFDs. We also compare the combinations with regards to their performance at producing accurate and precise μFA with DIVIDE, and present an optimised protocol for both methods. We show that our proposed protocol enables the reconstruction of both fODFs and μFA on in vivo data.

scholarly journals Evaluating the performance of 3-tissue constrained spherical deconvolution pipelines for within-tumor tractography

2019 ◽  
Author(s):  
Hannelore Aerts ◽  
Thijs Dhollander ◽  
Daniele Marinazzo
Keyword(s):  
White Matter ◽  
Tumor Tissue ◽  
Diffusion Tensor ◽  
Orientation Distribution ◽  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution ◽  
Fiber Orientation Distribution ◽  
Tissue Compartments ◽  
Diffusion Tensor Imaging Dti ◽  
Single Shell

AbstractThe use of diffusion MRI (dMRI) for assisting in the planning of neurosurgery has become increasingly common practice, allowing to non-invasively map white matter pathways via tractography techniques. Limitations of earlier pipelines based on the diffusion tensor imaging (DTI) model have since been revealed and improvements were made possible by constrained spherical deconvolution (CSD) pipelines. CSD allows to resolve a full white matter (WM) fiber orientation distribution (FOD), which can describe so-called “crossing fibers”: complex local geometries of WM tracts, which DTI fails to model. This was found to have a profound impact on tractography results, with substantial implications for presurgical decision making and planning. More recently, CSD itself has been extended to allow for modeling of other tissue compartments in addition to the WM FOD, typically resulting in a 3-tissue CSD model. It seems likely this may improve the capability to resolve WM FODs in the presence of infiltrating tumor tissue. In this work, we evaluated the performance of 3-tissue CSD pipelines, with a focus on within-tumor tractography. We found that a technique named single-shell 3-tissue CSD (SS3T-CSD) successfully allowed tractography within infiltrating gliomas, without increasing existing single-shell dMRI acquisition requirements.

P4-069: Constrained spherical deconvolution based tractography and cognition in Alzheimer's disease

2011 ◽  
Vol 7 ◽  
pp. S724-S724
Author(s):  
Yael Reijmer ◽  
Alexander Leemans ◽  
Sophie Heringa ◽  
Ilse Wielaard ◽  
Ben Jeurissen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution

scholarly journals A Direct Cortico-Nigral Pathway as Revealed by Constrained Spherical Deconvolution Tractography in Humans

2016 ◽  
Vol 10 ◽  
Author(s):  
Alberto Cacciola ◽  
Demetrio Milardi ◽  
Giuseppe P. Anastasi ◽  
Gianpaolo A. Basile ◽  
Pietro Ciolli ◽  
...  
Keyword(s):  
Constrained Spherical Deconvolution ◽  
Spherical Deconvolution
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