Automated detection of ureter abnormalities on multi-detector row CT urography
Automated detection of ureter abnormalities on multi-detector row CT urography
复制标题
多排 CT 尿路造影自动检测输尿管异常
DOI：
10.1117/12.654985
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
H. Chan
中科院分区：
文献类型：
--
作者：
Lubomir M. Hadjiiski;B. Sahiner;E. Caoili;R. Cohan;H. Chan
我们正在开发一种用于在多排CT尿路成像上自动检测输尿管异常的CAD系统，该系统可能有助于放射科医生检测输尿管癌。在CAD系统的第一阶段，给定初始起点，根据对比剂填充的管腔的CT值跟踪输尿管。在第二阶段，利用直方图和形状分析检测病变候选，将异常从充满造影剂的输尿管背景中分离出来。设计了一种均匀性测量方法来检测输尿管体积内CT值的不均匀性。如果输尿管异常，CT值的一致性将被扭曲，导致一致性测量的降低。输尿管壁的平整度也是使用形状测量来估计的。一个基于规则的系统被用来结合这两个措施。在这项初步研究中，使用了11名经活检证实的病变患者的有限数据集。9例患者中12例为输尿管癌，6例为良性病变，2例为良性病变。12例癌灶平均大小为7.8 mm(2.1~9.5 mm)。该追踪程序成功追踪了其中10名患者的输尿管。我们的系统检测到75%(15/20)的输尿管病变，每个患者2.6(28/11)个假阳性。83%(10/12)的输尿管癌被检出。初步结果表明，我们的检测系统可以跟踪输尿管，检测出中等显着性和相对较小的输尿管癌。
We are developing a CAD system for automated detection of ureter abnormalities on multi-detector row CT urography, which potentially can assist radiologists in detecting ureter cancer. In the first stage of the CAD system, given an initial starting point, the ureter is tracked based on the CT values of the contrast-filled lumen. In the second stage, lesion candidates are detected using histogram and shape analysis to separate the abnormality from the background, which is the ureter filled with contrast material. A uniformity measure is designed to detect non-uniformity of the CT values within the ureter volume. If a ureter abnormality is present, the CT values uniformity will be distorted, resulting in a reduced uniformity measure. The smoothness of the ureter wall is also estimated using a shape measure. A rule-based system is used to combine the two measures. In this pilot study, a limited data set of 11 patients with biopsy-proven lesions was used. Nine patients had 12 ureter cancers and 6 benign lesions and the remaining two patients had 2 benign lesions. The average lesions size for the 12 cancers was 7.8mm (range: 2.1mm-9.5mm). The tracking program successfully tracked the ureters in 10 of the patients. Our system detected 75% (15/20) of the ureter lesions with 2.6 (28/11) false positives per patient. 83% (10/12) of the ureter cancers were detected. The preliminary results show that our detection system can track the ureter and detect ureter cancer of medium conspicuity and relatively small size.