Integrate CAD & Virtual Colonoscopy for Cancer Screening

集成CAD

• 批准号: 6937208
• 负责人: ARIE E KAUFMAN
• 金额: $ 18.33万
• 依托单位: STATE UNIVERSITY NEW YORK STONY BROOK
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6937208
• 关键词: clinical research; colon neoplasms; colon polyp; computed axial tomography; computer assisted diagnosis; computer system design /evaluation; diagnosis design /evaluation; early diagnosis; human data; human subject; neoplasm /cancer diagnosis; rapid diagnosis

DESCRIPTION (provided by applicant) Colorectal carcinoma is the second leading cause of death from cancer in the United States. Since most cancers arise from polyps over 5-15 years of malignant transformation, screening programs to detect small polyps less than 10mm in diameter have been advocated. Unfortunately, most people do not follow this recommendation even though removing polyps prior to malignant transformation can prevent cancer. This reluctance is in reaction to the discomfort, embarrassment and risk associated with the invasive optical colonoscopy procedure. Recently, a new procedure, known as virtual colonoscopy (VC), has been developed for colon cancer screening. Using computed tomography (CT) images of the patient's abdomen, a computer visualization system allows the physician to virtually navigate within a constructed 3D model of the colon looking for polyps. Studies have shown this non-invasive procedure to be accurate, comfortable technique for screening. From the physician's perspective, however, VC still requires careful inspection of the entire length of the colon, a somewhat tedious process that takes at least 15 minutes. For several years our research groups at Stony Brook University and those at Viatronix Inc. have been advancing VC development and commercialization. Currently our focus is on the research and development of 3D texture-based computer aided detection (CAD) techniques using 3D texture information within the colon wall. The goal of this effort is to exploit polyp characteristics in the CT data to automatically identify suspicious regions of the colon wall. Our specific aims are: (1) To exploit 3D subsurface morphology and texture to rapidly identify and accurately classify polyps. (2) To develop interactive CAD reading strategies. (3) To accelerate the CAD processing and interactive rendering using commodity graphics hardware. (4) To integrate CAD and interactive rendering into the commercial Viatronix V3D system. (5) To validate the integrated system on a patient database. We anticipate that integration of texture-based CAD technology into the Viatronix V3D system will substantially enhance VC by providing superior CAD detection performance while dramatically increasing the physician's efficiency of reading the VC data as well as the overall sensitivity of the procedure. Improving the cancer-finding capability and cost-effectiveness of VC will ultimately result in better health care.

描述（由申请人提供） 结直肠癌是美国癌症死亡的第二大原因。 由于大多数癌症都是由5-15年的息肉恶变引起的，因此提倡筛查直径小于10 mm的小息肉。 不幸的是，大多数人不遵循这一建议，即使在恶性转化之前切除息肉可以预防癌症。 这种不情愿是对与侵入性光学结肠镜检查程序相关的不适、尴尬和风险的反应。 最近，一种新的程序，被称为虚拟结肠镜检查（VC），已经开发用于结肠癌筛查。 使用患者腹部的计算机断层扫描（CT）图像，计算机可视化系统允许医生在构建的结肠3D模型内虚拟导航，寻找息肉。 研究表明，这种非侵入性程序是准确、舒适的筛查技术。然而，从医生的角度来看，VC仍然需要仔细检查结肠的整个长度，这是一个至少需要15分钟的繁琐过程。 几年来，我们在斯托尼布鲁克大学的研究小组和Viatronix公司的研究小组。一直在推动风险投资的发展和商业化。目前，我们的重点是研究和开发基于三维纹理的计算机辅助检测（CAD）技术，利用三维纹理信息在结肠壁。这项工作的目标是利用CT数据中的息肉特征来自动识别结肠壁的可疑区域。 我们的具体目标是：（1）利用三维亚表面形态和纹理来快速识别和准确分类息肉。(2)开发交互式CAD阅读策略。(3)使用商用图形硬件加速CAD处理和交互式渲染。(4)将CAD和交互式渲染集成到商用Viatronix V3 D系统中。(5)在患者数据库上验证集成系统。 我们预计，将基于纹理的CAD技术集成到Viatronix V3 D系统中将通过提供上级CAD检测性能，同时显著提高医生阅读VC数据的效率以及程序的整体灵敏度，从而大大增强VC。提高癌症发现能力和VC的成本效益将最终导致更好的医疗保健。