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

机译:大腿前外侧穿孔皮瓣血管灌注的三维分析

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摘要

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:对三个三维(3D)血液流动方向和位置的定量分析将有益于并指导外科手术稀疏和解剖过程。为了实现这一目标,本研究通过结合来自造影剂传播的时间信息来重建3D血管树。提出了一种基于我们先前工作的计算技术,该技术可从CT扫描体图像集中分割3D血管树结构。该技术利用了变形方法,该方法是一种移动网格方法,在传统上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,我们将移动网格变形方法扩展到了3D并结合了3D区域增长方法以进行初始分割。最后,使用3D散度算子从3D网格体积图中描绘出维管束树的结构。实验结果显示了血管结构的3D性质和四维(4D)血管树演变过程。所提出的计算框架证明了其在3D血管树建模中的有效性和改进。

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