The three-dimensional shape analysis of the M1 segment of the middle cerebral artery using MRA at 3T

The three-dimensional shape analysis of the M1 segment of the middle cerebral artery using MRA at 3T
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使用 MRA 在 3T 下对大脑中动脉 M1 段进行三维形状分析

DOI:
10.1007/s00234-014-1414-3
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发表时间:
2014-11-01
期刊:
影响因子:
2.8
通讯作者:
Cheng, Ziman
Cheng, Ziman
中科院分区:
医学3区
文献类型:
--
作者:
Han, Jintao;Qiao, Huiting;Cheng, Ziman

文献摘要

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相似文献

大脑中动脉(MCA)M1段在神经外科和介入放射学中具有重要意义。目的:利用磁共振血管成像(MRA)技术,基于形状投影对M1段进行三维描述。方法:建立三视图法,对717例3D-TOF MRA图像中的M1段进行回顾性分析。该方法首先将M1段投影到三个正交平面(轴向、冠状和矢状平面)上;在每个正交平面上将投影血管的路线分为线形、C形和S形;然后在投影图像上测量实际参数,包括内径等。形状分类和测量参数是描述M1段的有效方法。12个几何模型的血管重建,并与那些从实际validationmethod.ResultsThe的3D形状的M1段的3D正交视图是不均匀的。在三维空间中,只有17.3%的M1节段是直的,43.5%遵循平面曲线,近40%是迂曲的。形状分类的概率分布随年龄而变化。血管迂曲的比例随年龄增长而增加。我们还表明,三视图的方法是有效的体积相对误差小于13%.ConclusionThe三视图的方法是方便的描述的三维形态,包括形状信息,的M1段。它是一种潜在的方法,用于计划和预测神经外科/神经干预的风险。
IntroductionThe M1 segment of the middle cerebral artery (MCA) is of great importance to neurosurgery and interventional radiology. The purpose of this study was to describe the M1 segment in three dimensions based on shape projection using magnetic resonance angiography (MRA).MethodsA three-view method was established and used in the retrospective analysis of 717 M1 segments derived from 3D-TOF MRA images. In this method, the M1 segment was first projected on three orthogonal planes (axial, coronary, and sagittal plane); the courses of the projected vessels were classified as line-shape, C-shape, or S-shape on each orthogonal plane; and then the actual parameters, including internal diameter and so on, were measured on the projected images. The shape classifications and the measured parameters were efficient methods of describing the M1 segment. Twelve geometric models of the vessels were reconstructed and were compared with those from an actual validation method.ResultsThe 3D shape of the M1 segment in the 3D orthogonal views was not uniform. Only 17.3 % M1 segments were straight, 43.5 % followed plane curves, and nearly 40 % were tortuous in 3D space. The probability distributions of shape classifications changed with age. The proportion of the tortuous vessels increased with age. We also showed that the three-view method is effective with a volume relative error of less than 13 %.ConclusionThe three-view method is convenient for describing the 3D morphology, including the shape information, of the M1 segment. It is a potential method for planning and predicting risk in neurosurgery/neurointervention.