Avian egg latebra as brain tissue water diffusion model.

Avian egg latebra as brain tissue water diffusion model.
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DOI:
10.1002/mrm.24941
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发表时间:
2014-08
影响因子:
3.3
通讯作者:
Mulkern, Robert V.
Mulkern, Robert V.
中科院分区:
医学3区
文献类型:
--
作者:
Maier, Stephan E.;Mitsouras, Dimitris;Mulkern, Robert V.

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非单指数扩散信号衰减的简化模型对于研究组织中复杂扩散行为的基本组成部分非常有意义。 Latebra 是禽蛋蛋黄中均匀存在的独特结构,表现出非单指数扩散信号衰减。该模型比基于水和脂质扩散之间差异的简单模型更复杂,但也缺乏具有优先取向或灌注效应的微观结构。在临床 3 特斯拉系统上对平衡至室温的生鸡蛋和煮鸡蛋进行具有多个 b 值的扩散扫描。扩散编码的应用范围为 5–5,000 和 5–50,000 s/mm2。低读出带宽和化学位移用于可靠的脂质/水分离。信号衰减符合指数函数。 Latebra 在 5-5,000 s/mm2 范围内测量时,表现出与制备无关的明显双指数扩散,其扩散参数类似于在体内人脑中通常观察到的扩散参数。对于 5-50,000 s/mm2 的范围,有证据表明存在第三小、非常缓慢扩散的水成分。禽蛋的后脑含有膜结构,这可以解释简单的单指数扩散信号衰减的偏差,这与在脑组织中观察到的偏差非常相似。
Simplified models of non-monoexponential diffusion signal decay are of great interest to study the basic constituents of complex diffusion behaviour in tissues. The latebra, a unique structure uniformly present in the yolk of avian eggs, exhibits a non-monoexponential diffusion signal decay. This model is more complex than simple phantoms based on differences between water and lipid diffusion, but is also devoid of microscopic structures with preferential orientation or perfusion effects. Diffusion scans with multiple b-values were performed on a clinical 3 Tesla system in raw and boiled chicken eggs equilibrated to room temperature. Diffusion encoding was applied over the ranges 5–5,000 and 5–50,000 s/mm2. A low read-out bandwidth and chemical shift was used for reliable lipid/water separation. Signal decays were fitted with exponential functions. The latebra, when measured over the 5–5,000 s/mm2 range, exhibited independent of preparation clearly biexponential diffusion, with diffusion parameters similar to those typically observed in in-vivo human brain. For the range 5–50,000 s/mm2 there was evidence of a small third, very slow diffusing water component. The latebra of the avian egg contains membrane structures, which may explain a deviation from a simple monoexponential diffusion signal decay, which is remarkably similar to the deviation observed in brain tissue.
DOI: 10.1007/s10334-004-0063-7
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