Texture-Based CAD for Cancer Screening from 3D Images

基于纹理的 CAD 从 3D 图像进行癌症筛查

• 批准号: 7657558
• 负责人: JEROME Z LIANG
• 金额: $ 24.38万
• 依托单位: STATE UNIVERSITY NEW YORK STONY BROOK
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7657558
• 关键词: Abdomen; Advocate; Bladder; Bladder Neoplasm; Caliber; Cancer Etiology; Cause of Death; Cessation of life; Colon; Colon Carcinoma; Computed Tomographic Colonography; Computer Assisted; Computers; Cystoscopy; Databases; Detection; Development; Diagnostic Neoplasm Staging; Evaluation; Genus Cola; Health; Imagery; Invasive; Large Intestine Carcinoma; Machine Learning; Magnetic Resonance Imaging; Malignant - descriptor; Malignant Neoplasms; Malignant neoplasm of urinary bladder; Mucous Membrane; Numbers; Organ; Patients; Performance; Phase; Physicians; Polyps; Population; Procedures; Rate; Recommendation; Risk; Screening for cancer; Screening procedure; Second Primary Cancers; Staging; Symptoms; System; Techniques; Texture; Three-Dimensional Image; Three-Dimensional Imaging; Time; Tissues; Tumor stage; United States; base; cancer diagnosis; cost; imaging Segmentation; improved; mortality; programs; three-dimensional modeling; virtual

DESCRIPTION (provided by applicant): Colorectal carcinoma is the third most commonly diagnosed cancer and the second leading cause of death from cancer in the United States. Bladder cancer is the fifth cause of cancer deaths in the United States. Often the cancers are diagnosed at an advanced stage after the patients have developed symptoms, explaining their high mortality rates. Since most colon cancers arise from polyps over a 5 to 15 year period of malignant transformation, screening programs to detect small polyps less than 1 cm in diameter have been advocated. Unfortunately most people do not follow this recommendation. A similar situation exists for bladder tumor staging. The health relatedness of this project is to dramatically increase the number of people willing to participate in screening programs by offering a convenient, nearly risk-free procedure. Virtual colonoscopy (VCon) and virtual cystoscopy (VCys), as new procedures in which computed tomographic (CT) or magnetic resonance (MR) images of the patient's abdomen are taken and a computer visualization system is used to virtually navigate within a constructed 3D model of the colon or bladder, has demonstrated the potential for colon cancer screening and bladder tumor evaluation. We have been contributing the VCon and VCys development for several years. The broad, long-term objective of this project is to develop 3D texture-based computer aided detection (txCAD) techniques to facilitate VCon and VCys as accurate, cost-effective, non-invasive, comfortable techniques to screen large segments of the population. The Phase I specific aims are: (1) To develop tissue-mixture image segmentation mitigating the partial volume effect. (2) To extract the mucosa layer and cleanse the lumen space of the hollow organs from the segmentation. (3) To identify suspicious patches in the mucosa layer with high sensitivity and reasonable false negatives. (4) To obtain the entire volume of each suspicious patch. The Phase II aims are: (5) To extract 3D geometrical, morphological and texture information from each suspicious volume. (6) To classify the extracted features using learning machine to eliminate false positives. (7) To evaluate the performance of the proposed txCAD on a patient database of over 200 cases. It is hypothesized that the proposed txCAD will significantly improve the detection performance compared to previous geometry-based CAD (sfCAD), and dramatically reduces the physician's interaction time with our developed VCon and VCys systems.

描述（由申请人提供）：结直肠癌是美国第三大最常诊断的癌症，也是第二大癌症死亡原因。膀胱癌是美国癌症死亡的第五大原因。通常，癌症在患者出现症状后才被诊断为晚期，这也是其高死亡率的原因。由于大多数结肠癌是由经过 5 至 15 年恶变的息肉引起的，因此提倡采用筛查计划来检测直径小于 1 厘米的小息肉。不幸的是大多数人不遵循这个建议。膀胱肿瘤分期也存在类似的情况。该项目与健康的相关性是通过提供方便、几乎无风险的程序来大幅增加愿意参与筛查计划的人数。虚拟结肠镜检查 (VCon) 和虚拟膀胱镜检查 (VCys)，作为新程序，拍摄患者腹部的计算机断层扫描 (CT) 或磁共振 (MR) 图像，并使用计算机可视化系统在构建的 3D 模型中进行虚拟导航结肠或膀胱的研究已证明其具有结肠癌筛查和膀胱肿瘤评估的潜力。多年来我们一直致力于 VCon 和 VCys 的开发。该项目的广泛、长期目标是开发基于 3D 纹理的计算机辅助检测 (txCAD) 技术，以促进 VCon 和 VCys 作为准确、经济高效、非侵入性、舒适的技术来筛查大部分人群。第一阶段的具体目标是：（1）开发减轻部分体积效应的组织混合图像分割。 (2)从分割中提取粘膜层并清洁中空器官的管腔空间。 (3)以高灵敏度和合理的假阴性识别粘膜层中的可疑斑块。 (4)获取每个可疑补丁的完整体积。第二阶段的目标是：（5）从每个可疑体积中提取3D几何、形态和纹理信息。 (6)利用学习机对提取的特征进行分类，消除误报。 (7) 在包含 200 多个病例的患者数据库上评估所提出的 txCAD 的性能。据推测，与之前基于几何的 CAD (sfCAD) 相比，所提出的 txCAD 将显着提高检测性能，并显着减少医生与我们开发的 VCon 和 VCys 系统的交互时间。