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Three dimensional analysis of the vascular perfusion for anterolateral thigh perforator flaps

机译:前翼型毛孔襟翼血管灌注三维分析

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Quantitative analysis of three dimentional (3D) blood flow direction and location will benefit and guide the surgical thinning and dissection process. Toward this goal, this study was performed to reconstruct 3D vascular trees with the incorporation of temporal information from contrast-agent propagation. A computational technique based on our previous work to segment the 3D vascular tree structure from the CT scan volume image sets was proposed. This technique utilizes the deformation method which is a moving grid methodology and which in tradition is used to improve the computational accuracy and efficiency in solving differential equations. Compared with our previous work, we extended the moving grid deformation method to 3D and incorporated 3D region growing method for an initial segmentation. At last, a 3D divergence operator was applied to delineate vascular tree structures from the 3D grid volume plot. Experimental results show the 3D nature of the vascular structure and four-dimensional (4D) vascular tree evolving process. The proposed computational framework demonstrates its effectiveness and improvement in the modeling of 3D vascular tree.
机译:三维(3D)血流方向和位置的定量分析将受益和引导外科稀释和解剖过程。对此目的,进行该研究以重建3D血管树与从对比剂传播的时间信息纳入时间信息。提出了一种基于我们之前的工作的计算技术,用于从CT扫描体图像集段中分割3D血管树结构。该技术利用作为移动栅格方法的变形方法,并且在传统中用于提高求解微分方程的计算精度和效率。与我们以前的工作相比,我们将移动的网格变形方法扩展到3D和掺入初始分割的3D区域生长方法。最后,应用了3D发散操作者从3D网格卷图中划分血管树结构。实验结果表明了血管结构的3D性质和四维(4D)血管树演化过程。所提出的计算框架展示了3D血管树的建模中的有效性和改进。

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