Computerized scheme for the detection of pulmonary nodules. A nonlinear filtering technique.
Computerized scheme for the detection of pulmonary nodules. A nonlinear filtering technique.
复制标题
用于检测肺结节的计算机化方案。
DOI：
10.1097/00004424-199202000-00005
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发表时间：
1992
影响因子：
6.7
通讯作者：
Montner,SM
中科院分区：
文献类型：
--
作者：
Yoshimura,H;Giger,ML;Doi,K;MacMahon,H;Montner,SM
为了帮助放射科医生检测肺癌，作者正在开发一种计算机辅助诊断系统，该系统可以定位数字胸片上可疑结节的区域。该系统采用差分图像方法和多种特征提取技术。作者描述了差分图像方法中使用的非线性滤波器。在差分图像步骤中分别采用形态学开放运算和环形中值滤波器进行信号增强和信号抑制。使用60张临床胸片，非线性滤波方法检测出约63%的实际结节，每张图像约19个假阳性结果。然而，假阳性检测的位置通常与线性滤波方法的位置不一致。因此，通过结合使用两种方法的检测，假阳性率降低到每幅图像两到三个，灵敏度为60%。
To aid radiologists in the detection of lung cancer, the authors are developing a computer-aided diagnosis system that locates areas suspicious for nodules in digital chest radiographs. The system involves a difference-image approach and various feature-extraction techniques. The authors describe nonlinear filters used in the difference-image approach. A morphological open operation and a ring-shaped median filter are applied in the difference-image step for signal enhancement and signal suppression, respectively. Using 60 clinical chest radiographs, the nonlinear filtering method detected approximately 63% of actual nodules with approximately 19 false-positive results per image. The locations of the false-positive detections, however, usually did not coincide with those from the linear filtering method. Thus, by using a combination of the detections from the two methods, the false-positive rate was reduced to two to three per image at a sensitivity of 60%.