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

机译:计算机辅助孤立性肺结节形态增强特征-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:孤立肺结节(SPN)的数量分析对于肺部疾病的诊断和预测非常重要,尤其是在早期或小规模疾病中。由于患者的呼吸活动,注射推注后SPN区域会发生平移和变形,因此很难获得确切的增强模式。在本演示中,我们提供了一种将普通CT图像和增强型CT图像相结合的方法,以帮助放射科医生进行SPN诊断或预测。首先我们在普通图像和增强图像中分割SPN区域,然后进行刚性和可变形配准方法,使增强SPN区域与普通SPN区域匹配,然后从增强SPN区域中减去SPN区域以显示增强,最后我们将增强特征与相应的诊断结果相关联

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