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3-Dimensional Automatic Computer-Aided Evaluation of Pleural Effusions onChest CT Images

机译:三维自动计算机辅助评估胸腔积液onchest CT图像

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The ability to estimate the volume of pleural effusions is desirable as it can provide information about the severity of the condition and the need for thoracentesis. We present here an improved version of an automated program to measure the volume of pleural effusions using regular chest CT images. First, the lungs are segmented using region growing, mathematical morphology, and anatomical knowledge. The visceral and parietal layers of the pleura are then extracted based on anatomical landmarks, curve fitting and active contour models. The liver and compressed tissues are segmented out using thresholding. The pleural space is then fitted to a Bezier surface which is subsequently projected onto the individual two-dimensional slices. Finally, the volume of the pleural effusion is quantified. Our method was tested on 15 chest CT studies and validated against three separate manual tracings. The Dice coefficients were 0.74±0.07, 0.74±0.08, and 0.75±0.07 respectively, comparable to the variation between two different manual tracings.
机译:估计胸腔积液的体积的能力是理想的,因为它可以提供关于条件严重程度的信息和胸腔饱和的需要。我们在这里提供了一种改进的自动化程序版本,用于使用常规胸部CT图像测量胸腔积液的体积。首先,使用区域生长,数学形态和解剖知识进行肺部进行分段。然后基于解剖标志,曲线配件和有源轮廓模型提取胸膜的内脏和垂直层。使用阈值化分割肝脏和压缩组织。然后将胸腔空间装配到贝塞尔表面,随后将其投射到各个二维切片上。最后,量化了胸腔积液的体积。我们的方法在15个胸部CT研究中进行了测试,并针对三个单独的手动追踪进行了验证。骰子系数分别为0.74±0.07,0.74±0.08和0.75±0.75±0.07,与两个不同的手动描绘之间的变化相当。

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