Morphological Lesion Detection in CT Colonography

描述（由申请人提供）： 结肠直肠癌是工业化国家癌症死亡的第二大原因。目前的筛查技术缺乏足够的灵敏度或昂贵，需要患者镇静。该项目旨在开发一套新的工具，以帮助医生使用CT结肠成像检测癌性病变，这是一种对患者快速无痛的新筛查技术。这些工具基于计算机化检测算法的概念，作为备份读取器，其主要目标是确保临床医生对可疑病变发出警报。该检测算法被设计为快速，灵敏和特异性-能够检测息肉，这些息肉通常被错过使用现有技术，因为它们被埋在结肠的褶皱上。根据该计划开发的工具还可以帮助临床医生对病变进行分型，并将为量化病变随时间的增长提供强大的研究工具。

DESCRIPTION (provided by applicant): Colorectal cancer is the second leading cause of cancer death in industrialized nations. Current screening techniques lack sufficient sensitivity or are expensive and require patient sedation. This project aims to develop a new set of tools to assist physicians in detecting cancerous lesions using CT colonography, a new screening technique that is fast and painless for the patient. The tools are based on the concept of a computerized detection algorithm to serve as a backup reader whose primary goal is to make sure that the clinician is alerted to suspicious lesions. The detection algorithm has been designed to be fast, sensitive and specific--capable of detecting polyps that are often missed using present techniques because they are buried on folds of the colon. The tools developed under this program may also assist the clinician in subtyping lesions and will provide a powerful research tool for quantifying lesion growth over time.