Computer Aided Detection for CT Colonography

CT 结肠成像的计算机辅助检测

• 批准号: 10253693
• 负责人: Ronald M. Summers
• 金额: --
• 依托单位: CLINICAL CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10253693
• 关键词: Affect; American; Atherosclerosis; Body Composition; Cancer Etiology; Cathartics; Cessation of life; Colon; Colonic Polyps; Colonoscopy; Colorectal; Colorectal Cancer; Computed Tomographic Colonography; Computer software; Computer-Assisted Diagnosis; Consumption; Densitometry; Diagnosis; Disease; Economics; Future; Goals; Human; Image; Incidence; Intestines; Laboratories; Length; Malignant Neoplasms; Metabolic syndrome; Methods; Minerals; Modification; Optics; Osteoporosis; Patients; Perception; Physicians; Polyps; Preparation; Sedation procedure; Sensitivity and Specificity; System; Techniques; Testing; Time; Training; Tube; accurate diagnosis; bone; colorectal cancer screening; computer aided detection; improved; radiologist; sarcopenia; screening; software development

We are improving CT colonography (virtual colonoscopy) by developing computer-assisted diagnosis methods. These methods attempt to identify and characterize colonic polyps automatically, thereby increasing physician accuracy and efficiency and helping patients by finding their polyps. We are developing methods to detect extracolonic findings on CT colonography using fully-automated software. Examples include automated body composition analysis and bone mineral densitometry. We have improved the accuracy of such methods compared to earlier versions.

我们正在通过开发计算机辅助诊断方法来改善CT结肠造影（虚拟结肠镜检查）。 这些方法试图自动识别和表征结肠息肉，从而提高医师的准确性和效率，并通过寻找息肉来帮助患者。 我们正在开发使用完全自动化软件在CT结肠造影上检测外殖民地发现的方法。例子包括自动体内组成分析和骨矿物质密度法。与早期版本相比，我们提高了此类方法的准确性。