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Developing Virtual Colonoscopy for Cancer Screening

Developing Virtual Colonoscopy for Cancer Screening
开发用于癌症筛查的虚拟结肠镜检查
批准号:
7429730
负责人:
JEROME Z LIANG
金额:
$30.5万
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-04-01 至 2010-05-31

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中文摘要
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英文摘要
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. Often it is diagnosed at an advanced stage, after the patient has developed symptoms, explaining its high mortality rate. Since most 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. The health relatedness of this project is to dramatically increase the number of people willing to participate in screening programs by using a convenient, nearly risk-free procedure. Virtual colonoscopy (VC) is a new procedure in which computed tomographic (CT) images of the patient's abdomen are taken and a computer visualization system is used to virtually navigate within a constructed 3-D image model of the colon, mimicking the current gold-standard optical colonoscopy (OC). The broad, long-term objective of this project is to develop VC as an accurate, cost-effective, minimalinvasive, least-stressful technique to screen large segments of the population. To further advance this technology, the specific aims of this project renewal are: (1) to investigate low-dose CT techniques for VC towards massive screening of colonic polyps; (2) to extend electronic colon cleansing strategies to extract the colon mucosa layer by mixture-based image segmentation; (3) to investigate integrated feature-extraction techniques for polyp modeling towards computed aided detection (CAD) of colonic polyps; and (4) to extend our current real-time volume-rendering based navigation algorithms to include CAD and interactive virtual biopsy means for analysis of suspected abnormalities. The research design and methodology will include evaluating from low-dose CT images the ability to electronically clean the colon lumen and extract the mucosa layer with less-stressful bowel preparation; the feasibility of bringing the technology to a readily accessible environment by documenting VC speed and quality with CAD and interactive virtual biopsy tools through the entire colon; and the accuracy by comparing virtual and optical colonoscopy polyp detection in the same patient using a pilot study.
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Advancing Virtual Colonoscopy for Early Cancer Screening
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
Screening Lung Cancer by Ultra Low-Dose Computed Tomography
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