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Computer Assisted Solitary Pulmonary Nodules Morphological Enhancement Characteristics - A preliminary study

机译:计算机辅助孤零零肺结构形态增强特征 - 初步研究

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The quantity analysis on Solitary Pulmonary Nodules (SPN) is very important for pulmonary disease diagnosis and prediction, especially, in the early phase or small sizes. Due to the breathing activity of patients, the SPN region is translated and deformed after the injection of bolus so that it is hard to obtain the exact enhancement patterns. In this presentation, we give an approach to combine plain CT images and enhanced CT images to assist the radiologists in SPN diagnosis or prediction. First we segmented SPN region in both the plain image and the enhanced image, then rigid and deformable registration method were carried out to match the enhanced SPN region to the plain SPN region, then we subtracted the SPN region from the enhanced SPN region to show the enhancement, finally we correlated the enhancement characteristics with corresponding diagnosis results.
机译:孤立性肺结核(SPN)的数量分析对于肺部疾病诊断和预测非常重要,特别是在早期或小尺寸。由于患者的呼吸活性,在注入推注后,SPN区域被翻译和变形,使得难以获得精确的增强模式。在本演示文献中,我们提供了一种方法来组合普通CT图像和增强的CT图像来帮助放射科学家在SPN诊断或预测中。首先,我们在普通图像和增强图像中分段的SPN区域,然后执行刚性和可变形的登记方法以将增强的SPN区域与普通的SPN区域匹配,然后我们从增强的SPN区域中减去了SPN区域以显示增强,最后我们与相应的诊断结果相关联。

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