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3D Vector Flow Guided Segmentation of Airway Wall in MSCT

机译:3d传染媒介在Msct的气道墙壁的导航分割

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This paper develops a 3D automated approach for airway wall segmentation and quantification in MSCT based on a patient-specific deformable model. The model is explicitly defined as a triangular surface mesh at the level of the airway lumen segmented from the MSCT data. The model evolves according to simplified Lagrangian dynamics, where the deformation force field is defined by a case-specific generalized gradient vector flow. Such force formulation allows locally adaptive time step integration and prevents model self-intersections. The evaluations performed on simulated and clinical MSCT data have shown a good agreement with the radiologist expertise and underlined a higher potential of the proposed 3D approach for the study of airway remodeling versus 2D cross-section techniques.
机译:本文基于患者特定的可变形模型,开发了一种用于MSCT中的气道壁分割和定量的3D自动化方法。该模型被明确地定义为从MSCT数据分段的气道内腔的电平的三角形表面网。该模型根据简化的拉格朗日动态演变,其中变形力场由特定于具体的广义梯度向量流定义。这种力制剂允许局部自适应时间步长集成并防止模型自交叉点。对模拟和临床MSCT数据进行的评估显示了与放射科医师的专业知识吻合良好,并强调了提出的3D方法的潜力,用于研究气道重塑与2D横截面技术的研究。

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