首页> 外文会议>Conference on physiology and function from multidimensional images >Colorectal cancer screening with virtual colonoscopy
【24h】

Colorectal cancer screening with virtual colonoscopy

机译:与虚拟结肠镜检查的结肠直肠癌筛选

获取原文

摘要

Early detection and removal of colorectal polyps have been proven to reduce mortality from colorectal carcinoma (CRC), the second leading cause of cancer deaths in the United States. Unfortunately, traditional techniques for CRC examination (i.e., barium enema, sigmoidoscopy, and colonoscopy) are unsuitable for mass screening because of either low accuracy or poor public acceptance, costs, and risks. Virtual colonoscopy (VC) is a minimally invasive alternative that is based on tomographic scanning of the colon. After a patient's bowel is optimally cleansed and distended with gas, a fast tomographic scan, typically helical computed tomography (CT), of the abdomen is performed during a single breath-hold acquisition. Two-dimensional (2D) slices and three-dimensional (3D) rendered views of the colon lumen generated from the tomographic data are then examined for colorectal polyps. Recent clinical studies conducted at several institutions including ours have shown great potential for this technology to be an effective CRC screening tool. In this paper, we describe new methods to improve bowel preparation, colon lumen visualization, colon segmentation, and polyp detection. Our initial results show that VC with the new bowel preparation and imaging protocol is capable of achieving accuracy comparable to conventional colonoscopy and our new algorithms for image analysis contribute to increased accuracy and efficiency in VC examinations.
机译:早期检测和清除大肠息肉已被证明可以减少结直肠癌(CRC)的死亡率,在美国癌症死亡的第二大原因。不幸的是,CRC检查(即钡剂灌肠,乙状结肠镜,结肠镜检查)传统技术不适合于大规模,因为无论精度低或公众接受性差,成本和风险的筛选。虚拟结肠镜检查(VC)是基于所述结肠的断层扫描微创替代。后患者的肠被最佳地清洗,并用气体,快速断层扫描,典型地螺旋计算机断层扫描(CT),腹部由单个屏气采集期间执行胀得。然后二维(2D)切片和三维(3D)渲染从断层数据生成的结肠管腔的视图检查大肠息肉。在一些机构,包括我们最近进行的临床研究这项技术表现出极大的潜力,是一种有效的大肠癌筛查工具。在本文中,我们描述了新的方法来改善肠道准备,结肠腔内可视化,结肠分割,和息肉检测。我们的初始结果表明,VC与新的肠道准备和成像协议能够实现精度堪比常规结肠镜检查和我们的用于图像分析的新算法有助于在VC检查增加的准确度和效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号