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优化健康和患病主动脉的三维建模以提高几何精度和效率。

Optimization of three-dimensional modeling for geometric precision and efficiency for healthy and diseased aortas.

作者信息

Cheng Christopher P, Zhu Yufei D, Suh Ga-Young

机构信息

a Department of Surgery , Stanford University , Stanford , CA , USA.

出版信息

Comput Methods Biomech Biomed Engin. 2018 Jan;21(1):65-74. doi: 10.1080/10255842.2017.1423291. Epub 2018 Jan 9.

DOI:10.1080/10255842.2017.1423291
PMID:29313372
Abstract

The study purpose is to optimize modeling parameters, specifically segmentation spacing and centerline extraction, to efficiently construct accurate 3D aortic models. Models are constructed by centerline extraction and orthogonal 2D segmentations. We examine the effect of segmentation interval spacing (2, 1, 0.5, 0.25 cm) and orthogonal segmentation and centerline extraction iteration (one, two, three iterations) for constructing models of Healthy, Tortuous, Aneurysmal, and Dissected human thoracic aortas. Aortic arclength, curvature, and cross-sectional axis ratio were computed to compare variations in modeling parameters. Centerline arclength is precisely characterized for all aortas with a single iteration of centerline extraction (≤1% deviation), however, complex anatomies required 1 cm segmentation intervals whereas the Healthy aorta only required 2 cm intervals. Centerline curvature is more sensitive to modeling methods, requiring 1 cm intervals for ≤5% deviation in peak curvature for the three diseased anatomies, and two iterations of segmentation and centerline extraction for the Aneurysmal and Dissected aortas. Accurate lumen cross-sectional characterization required 1 or 0.5 cm segmentation intervals, and two or three segmentation and centerline iterations, with greater refinement needed for more complex geometries. Depending on the geometric characteristic and complexity of anatomy and pathology, different levels of segmentation interval refinement and iterations of segmentation and centerline extraction are required.

摘要

本研究的目的是优化建模参数,特别是分割间距和中心线提取,以高效构建准确的三维主动脉模型。模型通过中心线提取和正交二维分割构建。我们研究了分割间隔间距(2、1、0.5、0.25厘米)以及正交分割和中心线提取迭代次数(一次、两次、三次迭代)对构建健康、迂曲、动脉瘤样和夹层的人体胸主动脉模型的影响。计算主动脉弧长、曲率和横截面轴比,以比较建模参数的变化。通过单次中心线提取迭代(偏差≤1%)可精确表征所有主动脉的中心线弧长,然而,复杂的解剖结构需要1厘米的分割间隔,而健康主动脉仅需要2厘米的间隔。中心线曲率对建模方法更为敏感,三种病变解剖结构的峰值曲率偏差≤5%时需要1厘米的间隔,动脉瘤样和夹层主动脉需要进行两次分割和中心线提取迭代。准确的管腔横截面表征需要1或0.5厘米的分割间隔,以及两次或三次分割和中心线迭代,对于更复杂的几何形状需要更精细的处理。根据解剖结构和病理的几何特征及复杂性,需要不同程度的分割间隔细化以及分割和中心线提取迭代。

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