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Software . 2018
License: CC BY SA
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License: CC BY SA
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Software Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Apr 2018 English Publisher:ZenodoFunded by:WT | unidentified
Authors: Najdenovska, Elena; Battistella, Giovanni; Alemán-Gómez, Yasser; Fornari, Eleonora; Bach Cuadra, Meritxell;

doi: 10.5281/zenodo.1237681 , 10.5281/zenodo.1253021 , 10.5281/zenodo.1237682

Software Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties

Abstract

This software represents a working copy of the code developed for the automatic segmentation of seven anatomic thalamic subparts exploring MRI diffusion-based properties, according to the method published in Brain Structure and Function in 2017 entitled as "Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties" by G. Battistella, E. Najdenovska, P. Maeder, N. Ghazaleh, A. Daducci, J.-P. Thiran, S. Jacquemont, C. Tuleasca, M. Levivier, M. Bach Cuadra and E. Fornari. Moreover we provide a testing dataset of five healthy subjects. Please read the README.txt file for detailed information.

This work is also supported by interdisciplinary fund (2016) of the Faculty of Biology and Medicine of the Lausanne University.

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Keywords

Diffusion Weighted MRI, Segmentation, Magnetic Resonance Imaging (MRI), Thalamic nuclei, Matlab

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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