COMPUTERIZED DETECTION OF PULMONARY NODULES IN DIGITAL CHEST IMAGES - USE OF MORPHOLOGICAL FILTERS IN REDUCING FALSE-POSITIVE DETECTIONS
COMPUTERIZED DETECTION OF PULMONARY NODULES IN DIGITAL CHEST IMAGES - USE OF MORPHOLOGICAL FILTERS IN REDUCING FALSE-POSITIVE DETECTIONS
复制标题
DOI：
10.1118/1.596478
复制
发表时间：
1990-09-01
期刊：
影响因子：
3.8
通讯作者：
METZ, CE
中科院分区：
文献类型：
--
作者：
GIGER, ML;AHN, N;METZ, CE
目前，放射科医生在高达30%的实际阳性病例中无法检测到肺结节。如果计算机化的方案可以提醒放射科医生可疑结节的位置，那么可能会减少漏诊结节的数量。我们正在开发这样一个计算机化的计划，涉及不同的图像方法和各种特征提取技术。在本文中，我们描述了我们使用的数字形态学处理在减少计算机识别的假阳性检测。一种特征提取技术，其中包括腐蚀和膨胀的非线性滤波器的顺序应用，采用减少结节检测的肋骨和血管的破坏作用。这种额外的特征提取技术使计算机化方案的真阳性率降低了13%，假阳性率降低了50%。在有和没有额外的特征提取技术的方案的比较中，包含额外的技术在每个胸部图像的三到四个假阳性检测的水平上将检测灵敏度增加了大约一半。
Currently, radiologists can fail to detect lung nodules in up to 30% of actually positive cases. If a computerized scheme could alert the radiologist to locations of suspected nodules, then potentially the number of missed nodules could be reduced. We are developing such a computerized scheme that involves a difference-image approach and various feature-extraction techniques. In this paper, we describe our use of digital morphological processing in the reduction of computer-identified false-positive detections. A feature-extraction technique, which includes the sequential application of nonlinear filters of erosion and dilation, is employed to reduce the camouflaging effect of ribs and vessels on nodule detection. This additional feature-extraction technique reduced the true-positive rate of the computerized scheme by 13% and the false-positive rate by 50%. In a comparison of the scheme with and without the additional feature-extraction technique, inclusion of the additional technique increased the detection sensitivity by about half at the level of three to four false-positive detections per chest image.