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首页> 外文期刊>Communications in Numerical Methods in Engineering >Three-dimensional reconstruction of internal fascicles and microvascular structures of human peripheral nerves
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Three-dimensional reconstruction of internal fascicles and microvascular structures of human peripheral nerves

机译：人周围神经内束和微血管结构的三维重建

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摘要

Biofabricated nanostructured and microstructured scaffolds have exhibited great potential for nerve tissue regeneration and functional restoration, and prevascularization and biotransportation within 3D fascicle structures are critical. Unfortunately, an ideal internal fascicle and microvascular model of human peripheral nerves is lacking. In this study, we used microcomputed tomography (microCT) to acquire high-resolution images of the human sciatic nerve. We propose a novel deep-learning network technique, called ResNetH3D-Unet, to segment fascicles and microvascular structures. We reconstructed 3D intraneural fascicles and microvascular topography to quantify the fascicle volume ratio (FVR), microvascular volume ratio (MVR), microvascular to fascicle volume ratio (MFVR), fascicle surface area to volume ratio (FSAVR), and microvascular surface area to volume ratio (MSAVR) of human samples. The frequency distributions of the fascicle diameter, microvascular diameter, and fascicle-to-microvasculature distance were analyzed. The obtained microCT analysis and reconstruction provided high-resolution microstructures of human peripheral nerves. Our proposed ResNetH3D-Unet method for fascicle and microvasculature segmentation yielded a mean intersection over union (IOU) of 92.1% (approximately 5% higher than the U-net IOU). The 3D reconstructed model showed that the internal microvasculature runs longitudinally within the internal epineurium and connects to the external vasculature at some points. Analysis of the 3D data indicated a 48.2 +/- 3% FVR, 23.7 +/- 1.8% MVR, 4.9 +/- 0.5% MFVR, 7.26 +/- 2.58 mm(-1) FSAVR, and 1.52 +/- 0.52 mm(-1) MSAVR. A fascicle diameter of 0.98 mm, microvascular diameter of 0.125 mm, and microvasculature-to-fascicle distance of 0.196 mm were most frequent. This study provides fundamental data and structural references for designing bionic scaffolding constructs with 3D microvascular and fascicle distributions.
机译：生物制造的纳米结构和微结构支架在神经组织再生和功能恢复方面显示出巨大潜力，并且在3D束状结构内进行前血管形成和生物转运至关重要。不幸的是，缺少理想的人周围神经的内部束和微血管模型。在这项研究中，我们使用微计算机断层扫描（microCT）来获取人类坐骨神经的高分辨率图像。我们提出了一种新颖的深度学习网络技术，称为ResNetH3D-Unet，以分割束和微血管结构。我们重建了3D神经内束和微血管地形图以量化束体积比（FVR），微血管体积比（MVR），微血管与束体积比（MFVR），束表面积与体积之比（FSAVR）和微血管表面积与体积样本的比率（MSAVR）。分析了束直径，微血管直径和束到微脉管距离的频率分布。所获得的microCT分析和重建提供了人类周围神经的高分辨率显微结构。我们提出的用于束和微脉管系统分割的ResNetH3D-Unet方法产生的平均联合交叉点（IOU）为92.1％（比U-net IOU高5％）。 3D重建模型显示，内部微脉管系统在内部神经外膜内纵向延伸，并在某些点连接到外部脉管系统。对3D数据的分析表明，FVR为48.2 +/- 3％，MVR为23.7 +/- 1.8％，MFVR为4.9 +/- 0.5％，FSAVR为7.26 +/- 2.58 mm（-1）和1.52 +/- 0.52 mm （-1）MSAVR。束直径为0.98毫米，微血管直径为0.125毫米，微血管到束的距离为0.196毫米是最常见的。这项研究为设计具有3D微血管和束分布的仿生脚手架构造提供了基础数据和结构参考。

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