Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing.

Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing.
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DOI:
10.1002/mrm.24717
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发表时间:
2014-03
影响因子:
3.3
通讯作者:
Jones DK
Jones DK
中科院分区:
医学3区
文献类型:
--
作者:
Santis S;Assaf Y;Evans CJ;Jones DK

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几年前提出了复合受阻和限制扩散模型来描述水在白色物质中的各向异性扩散。该模型提供了各种微观结构指数,例如,轴突密度,与来自扩散张量成像的度量相比,其在表征白色物质结构方面可能更具体。然而,增加的生物特异性是以增加的采集时间为代价的,这对于临床应用来说是具有挑战性的,并且是复杂的后处理步骤,其涉及估计置信区间可能很大的几个参数。在这里,开发了实验采集方案和数据处理管道的优化。基于静电斥力算法,结合优化排序,提出了一种优化的多壳层采样方案。简约的模型选择标准,贝叶斯信息的基础上,被用来选择最多三个受限制的车厢,允许区分区域之间的纤维和区域具有更复杂的几何形状之间的高方向性的连贯性。通过蒙特-卡罗模拟和体内数据证明了数据质量的显著改善。开发了CHARMED管道的优化版本,其平衡了扫描持续时间与估计参数的准确性/精度,仅需要12分钟的全脑覆盖采集。
The composite hindered and restricted model of diffusion was proposed a few years ago to characterise anisotropic water diffusion in white matter. The model provides various micro-structural indices, e.g., the axonal density, which can potentially be more specific in characterising white matter structure as compared to metrics from diffusion tensor imaging. Nevertheless, the increased biological specificity comes at the cost of an increased acquisition time, which is challenging for clinical applications, and an elaborate post-processing step, which involves the estimation of several parameters whose confidence intervals can be large. Here an optimisation of the experimental acquisition scheme and data processing pipeline was developed. An optimized multi-shell sampling scheme is proposed based on the electrostatic repulsion algorithm, combined with optimised ordering. Parsimonious model selection criteria, based on Bayesian information, are used to choose among up to three restricted compartments, allowing discrimination between regions of high directional coherence among fibres and regions with more complex geometries. Marked improvements in data quality are demonstrated both through Monte-Carlo simulations and in vivo data. An optimised version of the CHARMED pipeline is developed, that balances scan duration with accuracy/precision on the estimated parameters, needing only a 12 minutes acquisition for whole-brain coverage.
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