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AxTract: Microstructure-Driven Tractography Based on the Ensemble Average Propagator

机译:AxTract:基于整体平均传播器的微结构驱动的摩擦学

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We propose a novel method to simultaneously trace brain white matter (WM) fascicles and estimate WM microstructure characteristics. Recent advancements in diffusion-weighted imaging (DWI) allow multi-shell acquisitions with b-values of up to 10,000 s/mm~2 in human subjects, enabling the measurement of the ensemble average propagator (EAP) at distances as short as 10 μm. Coupled with continuous models of the full 3D DWI signal and the EAP such as Mean Apparent Propagator (MAP) MRI, these acquisition schemes provide unparalleled means to probe the WM tissue in vivo. Presently, there are two complementary limitations in tractography and microstructure measurement techniques. Tractography techniques are based on models of the DWI signal geometry without taking specific hypotheses of the WM structure. This hinders the tracing of fascicles through certain WM areas with complex organization such as branching, crossing, merging, and bottlenecks that are indistinguishable using the orientation-only part of the DWI signal. Microstructure measuring techniques, such as AxCaliber, require the direction of the axons within the probed tissue before the acquisition as well as the tissue to be highly organized. Our contributions are twofold. First, we extend the theoretical DWI models proposed by Callaghan et al. to characterize the distribution of axonal calibers within the probed tissue taking advantage of the MAP-MRI model. Second, we develop a simultaneous tractography and axonal caliber distribution algorithm based on the hypothesis that axonal caliber distribution varies smoothly along a WM fascicle. To validate our model we test it on in-silico phantoms and on the HCP dataset.
机译:我们提出了一种同时追踪脑白质(WM)束和估计WM微观结构特征的新方法。弥散加权成像(DWI)的最新进展允许在人类受试者中进行b值高达10,000 s / mm〜2的多壳采集,从而可以测量短至10μm的集合平均传播器(EAP) 。结合完整的3D DWI信号和EAP的连续模型(例如,平均视在传播器(MAP)MRI),这些采集方案提供了在体内探测WM组织的无与伦比的手段。目前,在放射线照相术和微结构测量技术中存在两个互补的局限性。牵引成像技术基于DWI信号几何模型,无需采用WM结构的特定假设。这阻碍了通过具有复杂组织的WM区域(例如分支,交叉,合并和瓶颈)来跟踪分册,而这些区域使用DWI信号的仅定向部分是无法区分的。诸如AxCaliber之类的微结构测量技术要求在采集之前被探测的组织内的轴突方向以及要高度组织化的组织。我们的贡献是双重的。首先,我们扩展了Callaghan等人提出的理论DWI模型。利用MAP-MRI模型表征被测组织中轴突口径的分布。其次,基于轴突口径分布沿WM分束平滑变化的假设,我们开发了一种同时进行的tractography和轴突口径分布算法。为了验证我们的模型,我们在计算机模拟模型和HCP数据集上对其进行了测试。

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