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常见的癌症，是美国癌症的第二大死亡原因。膀胱癌是美国癌症死亡的第五个原因。通常，在患者出现症状后，癌症通常在高级阶段被诊断出来，解释了他们的高死亡率。由于大多数结肠癌源于在5到15年的恶性转化期间息肉，因此已经提倡筛查计划，以检测直径小于1 cm的小息肉。不幸的是，大多数人不遵循此建议。膀胱肿瘤分期也存在类似的情况。该项目的健康相关性是通过提供方便，几乎没有风险的程序来大大增加愿意参与筛查计划的人数。 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.我们已经为VCON和VCYS开发做出了贡献了几年。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，具有成本效益，无创，无创，舒适的技术，以筛选大量人群。 I期特异性目的是：（1）开发组织混合图像分割，以减轻部分体积效应。 （2）提取粘膜层并清洁空心器官的管腔空间，从分割中。 （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全部卷。 II期的目的是：（5）从每个可疑体积中提取3D几何，形态和纹理信息。 （6）使用学习机对提取的功能进行分类以消除误报。 （7）评估在200多个病例的患者数据库上提出的TXCAD的性能。假设与以前的基于几何的CAD（SFCAD）相比，所提出的TXCAD将显着改善检测性能，并大大减少医生与我们开发的VCON和VCYS系统的相互作用时间。