The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Generalized ${ q}$-Sampling Imaging
Abstract
Based on the Fourier transform relation between diffusion magnetic resonance (MR) signals and the underlying diffusion displacement, a new relation is derived to estimate the spin distribution function (SDF) directly from diffusion MR signals. This relation leads to an imaging method called generalized q-sampling imaging (GQI), which can obtain the SDF from the shell sampling scheme used in q-ball imaging (QBI) or the grid sampling scheme used in diffusion spectrum imaging (DSI). The accuracy of GQI was evaluated by a simulation study and an in vivo experiment in comparison with QBI and DSI. The simulation results showed that the accuracy of GQI was comparable to that of QBI and DSI. The simulation study of GQI also showed that an anisotropy index, named quantitative anisotropy, was correlated with the volume fraction of the resolved fiber component. The in vivo images of GQI demonstrated that SDF patterns were similar to the ODFs reconstructed by QBI or DSI. The tractography generated from GQI was also similar to those generated from QBI and DSI. In conclusion, the proposed GQI method can be applied to grid or shell sampling schemes and can provide directional and quantitative information about the crossing fibers.
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Cites
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Dipy, a library for the analysis of diffusion MRI data
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., van der Walt, S., Descoteaux, M., Nimmo-Smith, I., & Contributors, D. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00008 · Cited by 1,371
“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).”
BackgroundMethodInfluentialDeterministic diffusion fiber tracking improved by quantitative anisotropy
Yeh, F.-C., Verstynen, T. D., Wang, Y., Fernández-Miranda, J. C., & Tseng, W.-Y. I. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080713 · Cited by 1,121
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Wang, Y., Wang, Q., Haldar, J. P., Yeh, F.-C., Xie, M., Sun, P., Tu, T.-W., Trinkaus, K., Klein, R. S., Cross, A. H., et al. (2011) · Brain · doi:10.1093/brain/awr307 · Cited by 384
Self-citationGenerative models of the human connectome
Betzel, R. F., Avena-Koenigsberger, A., Goñi, J., He, Y., de Reus, M. A., Griffa, A., Vértes, P. E., Mišic, B., Thiran, J.-P., Hagmann, P., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.041 · Cited by 303
Metadata
- Authors
- Yeh, F.-C., Wedeen, V. J., & Tseng, W.-Y. I.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2010-09
- Volume
- 29
- Issue
- 9
- Pages
- 1626-1635
- ISSN
- 0278-0062 (ISSN-L)
- 1558-254X
- OpenAlex
- W2122410839
- Cited by
- 1,019
- References
- 40
- FWCI
- 9.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yeh, F.-C., Wedeen, V. J., & Tseng, W.-Y. I. (2010). Generalized ${ q}$-Sampling Imaging. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2010.2045126
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