ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data

By Alexander Leemans, Ben Jeurissen, Jan Sijbers, Derek K. Jones. 2009

1,083 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f92f4418d4a4523a5760414144ecce8ab6472fde

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ben Jeurissen
2. Jacques-Donald Tournier
3. Alexander Leemans
4. Jelle Veraart
5. Derek K. Jones
6. Jan Sijbers
7. Catherine Lebel
8. José Miguel Soares

Citations in the corpus

• Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging (2013, methodology): “Tract visualization was performed with the ExploreDTI diffusion MRI toolbox [Leemans et al., 2009].”
• Diffusion tensor imaging of white matter tract evolution over the lifespan (2012, methodology): “Fiber tracking was performed with modified code from ExploreDTI (Leemans et al., 2009) (A. Leemans, Utrecht, Netherlands), using a deterministic streamline method.”
• Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls (2013, methodology): “8.2 (Leemans et al., 2009), FSL v5.”
• Identification of MCI Individuals Using Structural and Functional Connectivity Networks (2011, methodology): “Leemans, A.; Jeurissen, B.; Sijbers, J.; Jones, DK. ExploreDTI: A graphical toolbox for processing, analyzing, and visualizing diffusion MR data.”
• Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution (2011, methodology): “These processing steps were performed with the diffusion MR toolbox ExploreDTI (http://www.ExploreDTI.com) [Leemans et al., 2009].”
• A hitchhiker's guide to diffusion tensor imaging (2012, methodology): “It is important to note that since this procedure deals with changes in the orientation of the images, the encoding vectors should be reoriented (Leemans and Jones, 2009); fortunately, the DTIPrep , DIFF_PREP , and ExploreDTI tools take this into account.”
• Dipy, a library for the analysis of diffusion MRI data (2014, background): “(Cook et al., 2006) and Matlab: ExploreDTI (Leemans et al., 2009), AFQ (Yeatman et al., 2012) and others.”
• Partial volume effect as a hidden covariate in DTI analyses (2011, methodology): “, 2000) was performed in ExploreDTI (Leemans et al., 2009) with an FA tracking threshold of 0.”