The effect of finite diffusion gradient pulse duration on fibre orientation estimation in diffusion MRI

Yeh, Chun‐Hung; Tournier, Jacques‐Donald; Cho, Kuan-Hung; Lin, Ching-Po; Calamante, Fernando; Connelly, Alan

doi:10.1016/j.neuroimage.2010.02.041

Cited by 24 publications

(24 citation statements)

References 45 publications

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“…For most single-shell diffusion methods it is a difficult challenge to correctly estimate ODFs in the presence of CSF, as e.g., shown by Parker et al (2013), and our results may be affected by these differently for different spatial resolutions. Although multi-shell modeling approaches (e.g., Yeh et al 2010; Jeurissen et al 2014) can overcome these drawbacks, this was not included in our study as the extra shell in q -space would require another level of complexity in the trade-off, and the use of single-shell approaches still predominates in clinical settings.…”

Section: Discussionmentioning

confidence: 99%

Trade-off between angular and spatial resolutions in in vivo fiber tractography

et al. 2016

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Tractography is becoming an increasingly popular method to reconstruct white matter connections in vivo. The diffusion MRI data that tractography is based on requires a high angular resolution to resolve crossing fibers whereas high spatial resolution is required to distinguish kissing from crossing fibers. However, scan time increases with increasing spatial and angular resolutions, which can become infeasible in clinical settings. Here we investigated the trade-off between spatial and angular resolutions to determine which of these factors is most worth investing scan time in. We created a unique diffusion MRI dataset with 1.0 mm isotropic resolution and a high angular resolution (100 directions) using an advanced 3D diffusion-weighted multi-slab EPI acquisition. This dataset was reconstructed to create subsets of lower angular (75, 50, and 25 directions) and lower spatial (1.5, 2.0, and 2.5 mm) resolution. Using all subsets, we investigated the effects of angular and spatial resolutions in three fiber bundles—the corticospinal tract, arcuate fasciculus and corpus callosum—by analyzing the volumetric bundle overlap and anatomical correspondence between tracts. Our results indicate that the subsets of 25 and 50 directions provided inferior tract reconstructions compared with the datasets with 75 and 100 directions. Datasets with spatial resolutions of 1.0, 1.5, and 2.0 mm were comparable, while the lowest resolution (2.5 mm) datasets had discernible inferior quality. In conclusion, we found that angular resolution appeared to be more influential than spatial resolution in improving tractography results. Spatial resolutions higher than 2.0 mm only appear to benefit multi-fiber tractography methods if this is not at the cost of decreased angular resolution.

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Section: Discussionmentioning

confidence: 99%

Trade-off between angular and spatial resolutions in in vivo fiber tractography

et al. 2016

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“…Considering that the noise amplitude is constant, this signal dropout leads to a lower SNR for each DW image, regardless of their b-value [13]. This leads to a fundamental trade-off in diffusion imaging: while higher b-values are known to increase the contrast between the DW gradient directions [14], and therefore to increase the reliability of estimation of orientation of each fascicle, the higher nominal b-value also leads to a longer TE and to a lower SNR for each DW image , decreasing the estimation certainty and quality. An optimal diffusion-weighted acquisition must achieve a trade-off between acquiring adequate b-values while minimizing the TE to maximize the SNR.…”

Section: Introductionmentioning

confidence: 99%

Parametric Representation of Multiple White Matter Fascicles from Cube and Sphere Diffusion MRI

Scherrer

Warfield²

2012

PLoS ONE

102

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The characterization of the complex diffusion signal arising from the brain remains an open problem. Many representations focus on characterizing the global shape of the diffusion profile at each voxel and are limited to the assessment of connectivity. In contrast, Multiple Fascicle Models (MFM) seek to represent the contribution from each white matter fascicle and may be useful in the investigation of both white matter connectivity and diffusion properties of each individual fascicle. However, the most appropriate representation of multiple fascicles remains unclear. In particular, a multiple tensor representation of multiple fascicles has frequently been reported to be numerically challenging and unstable. We provide here the first analytical demonstration that when using a diffusion MRI acquisition with only one non-zero b-value, such as in conventional single-shell HARDI acquisition, a co-linearity in model parameters makes the precise model estimation impossible. Motivated by this theoretical result, we propose the novel CUSP (CUbe and SPhere) optimal acquisition scheme to achieve multiple non-zero b-values. It combines the gradients of a single-shell HARDI with gradients in its enclosing cube, in which varying b-values can be acquired by modulation of the gradient strength, without modifying the minimum echo time. Compared to a multi-shell HARDI acquisition, our scheme has significantly increased signal-to-noise ratio. We propose a novel estimation algorithm that enables efficient, robust and accurate estimation of the parameters of a multi-tensor model. In conjunction with a CUSP acquisition, it enables full estimation of the multi-tensor model. We present an evaluation of CUSP-MFM on both synthetic phantoms and invivo data. We report qualitative and quantitative experimental evaluations which demonstrate the ability of CUSP-MFM to characterize multiple fascicles from short duration acquisitions. CUSP-MFM enables rapid and effective investigation of multiple white matter fascicles, in both normal development and in disease and injury, in research and clinical practice.

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“…PGSE attenuation profiles for a toroidal pore simulated by FEM using Eq. (14). The inner radius a was 15 lm, and the outer radius R from the middle of the torus to the centre of the inner radius was 50 lm.…”

Section: Permeable Parallel Planesmentioning

confidence: 99%

“…PGSE has subsequently been applied to studying, among other things, zeolites [7], emulsions [8], liquid crystals [9] and a variety of biological systems and phenomena including red blood cells [10,11], cellulose fibres [12], brain tissue [13][14][15], aggregation [16] and exchange [17]. Diffusion measurements can also serve as a contrast mode for imaging [18][19][20].…”

Section: Introductionmentioning

confidence: 99%