Generalized <formula formulatype="inline"><tex Notation="TeX">${ q}$</tex></formula>-Sampling Imaging
By Fang-Cheng Yeh, Van J. Wedeen, W. I. Tseng. IEEE Transactions on Medical Imaging, 2010
706 citations recorded by the source corpus.
Subfields: Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/4e236c1ea2658113be3c995e329358e5b7db3be5
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In Radiology, Nuclear Medicine and Imaging
- Olaf Sporns
- Richard F. Betzel
- Martijn P. van den Heuvel
- E. Bullmore
- Xi-Nian Zuo
- Bratislav Misic
- D. Bassett
- Patric Hagmann
Citations in the corpus
- Population-Averaged Atlas of the Macroscale Human Structural Connectome and Its Network Topology (2018, neutral): “Diffusion MRI data from 842 participants were reconstructed in the ICBM-152 space to calculate the SDF (Yeh and Tseng, 2011; Yeh et al., 2010) within each voxel (Fig.”
- Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy (2013, methodology): “(1) where ψ is the spin distribution function (SDF) estimated using generalized q-sampling imaging [32].”
- Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity (2016, methodology): “All of the at-lases are available within the Lead-DBS software package (www.lead-dbs.org).”
- QuickBundles, a Method for Tractography Simplification (2012, methodology): “For the reconstruction of the 10 human data sets we used Generalized Q-Sampling (Yeh et al., 2010) with diffusion sampling length 1.”
- NTU-90: A high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction (2011, methodology): “(6) into the q-space reconstruction, we make use of the generalized q-sampling reconstruction method (Yeh et al., 2010), which formulates the relation between the original SDF and diffusion MR signals as the following equation:”
- Network-Level Structure-Function Relationships in Human Neocortex (2016, methodology): “Crossing fibers were modeled using generalized q-sampling imaging (GQI; Yeh et al. 2010).”
- Generative models of the human connectome (2015, positive): “…each participant’s diffusion-weighted MR images (diffusion tensor imaging; DTI), white matter fibers were reconstructed from generalized q-sampling (Yeh et al., 2010) (GQI: allowing for the reconstruction of crossing fibers) and streamline tractography and the cortex was parcellated into 219…”
- Dipy, a library for the analysis of diffusion MRI data (2014, methodology): “We created an algorithm that has many similarities with the classical deterministic methods (Conturo et al., 1999; Mori et al., 1999; Basser et al., 2000) and with more recent ones such as those described in Descoteaux et al. (2009) and Yeh et al. (2010).”