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Maximum Entropy Spherical Deconvolution for Diffusion MRI

2005
This paper proposes a maximum entropy method for spherical deconvolution. Spherical deconvolution arises in various inverse problems. This paper uses the method to reconstruct the distribution of microstructural fibre orientations from diffusion MRI measurements.
openaire   +2 more sources

Fiber-specific modelling in spherical deconvolution

ISMRM Annual Meeting
Spherical deconvolution is commonly employed to reconstruct fiber orientations distributions with brain diffusion MRI. A key assumption in spherical deconvolution is that all brain fibers share the same microstructural properties. This is unlikely the case in white matter, but even more so in grey matter.
Alberto De Luca, Alexander Leemans
openaire   +1 more source

Estimation of multiple fiber orientations using nonconvex regularized spherical deconvolution

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017
In diffusion magnetic resonance imaging, the fiber tractography generally desires the estimation of intravoxel multiple fiber orientations (MFOs) with high accuracy and reliability. In general, spherical deconvolution (SD) based methods have many advantages for MFOs estimation. However, these methods are lowly immune to noise. To cope with this problem,
Chun-Yu Chu, Zi-Xiang Kuai, Yue-Min Zhu
openaire   +1 more source

Effector-dependent neglect and splenial disconnection: a spherical deconvolution tractography study

Experimental Brain Research, 2014
We present the case of a patient with left homonymous hemianopia and chronic left neglect consequent to a stroke in the occipito-temporal regions of the right hemisphere. When the patient performed cancellation tasks with her right (dominant) hand, she had severe and persistent left neglect at retest 7 and 8 years after onset.
Lunven, Marine   +7 more
openaire   +5 more sources

Euler Deconvolution in Cylindrical and Spherical Coordinate Systems

Proceedings, 2012
Euler deconvolution is a commonly used technique for the semi-automatic interpretation of potential field data. In the two dimensional case the known quantities are the field strength f, its horizontal and vertical gradients, and the structural index N. The unknown quantities are deltax and deltaz, the distance from a given point to the source location
openaire   +1 more source

Constrained Spherical Deconvolution Tractography Reveals Cerebello-Mammillary Connections in Humans

The Cerebellum, 2016
According to the classical view, the cerebellum has long been confined to motor control physiology; however, it has now become evident that it exerts several non-somatic features other than the coordination of movement and is engaged also in the regulation of cognition and emotion.
Cacciola, Alberto   +11 more
openaire   +3 more sources

Basal ganglia network by constrained spherical deconvolution: A possible cortico‐pallidal pathway?

Movement Disorders, 2014
AbstractIn the recent past, basal ganglia circuitry was simplified as represented by the direct and indirect pathways and by hyperdirect pathways. Based on data from animal studies, we hypothesized a fourth pathway, the cortico‐pallidal, pathway, that complements the hyperdirect pathway to the subthalamus.
MILARDI, Demetrio   +11 more
openaire   +2 more sources

Multi-tissue constrained spherical deconvolution with spherical mean density estimation

ISMRM Annual Meeting
Motivation: Multi-tissue constrained spherical deconvolution (MT-CSD) average densities depend on the local fibre arrangement, as it relies on the non-negativity of the fibre orientation density functions (fODF). Goal(s): We investigate whether MT-CSD can be performed without influence of the orientation structure of fibre ODF.
openaire   +1 more source

Multi-Tissue Constrained Spherical Deconvolution for Improved Analysis of Multi-Shell Diffusion MRI Data

NeuroImage, 2014
Jacques-donald Tournier   +2 more
exaly  

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