Shi Rong, Napel Sandy, Rosenberg Jarrett K, Shin Lewis K, Walsh Cynthia F, Mogensen Monique A, Joshi Ajay Jayant, Pankhudi Pankhudi, Beaulieu Christopher F
Department of Radiology, Stanford University Medical Center, CA, USA.
J Comput Assist Tomogr. 2007 Sep-Oct;31(5):773-9. doi: 10.1097/rct.0b013e3180325648.
We developed a classifier that permits transparent rendering of both tagging material and air to facilitate interpretation of tagged computed tomographic (CT) colonography. With this technique, a reader can simultaneously appreciate polyps on endoluminal views both covered with tagging material and against air, along with unmodified 2-dimensional CT images. Evaluated with 49 polyps from 26 patients (data from public National Library of Medicine, Health Insurance Portability and Accountability Act compliant), 3 readers were able to determine the presence/absence of polyps in tagged locations with equivalent accuracy compared with polyps in air. This method offers an alternative way to visualize tagged CT colonography.
我们开发了一种分类器，它能够清晰显示标记物质和空气，便于对标记的计算机断层扫描（CT）结肠造影进行解读。通过这项技术，读者可以在腔内视图中同时看到覆盖有标记物质和与空气对比的息肉，以及未修改的二维CT图像。对来自26名患者的49个息肉进行评估（数据来自美国国立医学图书馆公开的符合《健康保险流通与责任法案》的数据），与在空气环境中的息肉相比，3名读者能够以相同的准确率确定标记位置处息肉的有无。这种方法为可视化标记的CT结肠造影提供了一种替代方式。
