3-D, REAL-TIME, X-RAY RECONSTRUCT. OF CORONARY STENOSIS

3-D、实时、X 射线重建。

• 批准号: 3508482
• 负责人: WOLFRAM R JARISCH
• 金额: $ 24.71万
• 依托单位: CYBER TECHNOLOGY, INC.
• 依托单位国家: 美国
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-09-30 至 1991-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3508482
• 关键词: DVD /CD ROM; artery stenosis; atherosclerosis; cineangiocardiography; clinical biomedical equipment; computer assisted diagnosis; computers; contrast media; coronary disorder; diagnosis quality /standard; dogs; human subject; image enhancement; image processing; mathematics; radiodiagnosis; time resolved data

Precision in the estimation of the severity of coronary artery disease is critical for evaluating the long-term effects of therapeutic interventions such as diet, lipid-lowering drugs, coronary bypass surgery, and balloon angioplasty (PTCA), as well as assessing prognosis and choosing the appropriate form of therapy for each individual patient. Visual interpretation of the coronary arteriogram is today the gold standard for defining the pathoanatomy in coronary heart disease. There are inherent limitations, however, in this method of interpretation. Typically, the observer will derive an estimate of the percent of vessel diameter narrowing by looking at an averaging 2 views taken at right angles to each other. A significant error of estimating lumen-size may result when an atherosclerotic plaque is not perfectly round or concentrically located within the lumen; in fact, the majority of lesions are eccentric and have irregular shapes. This proposal is to develop an improved, objective method for 3-dimensional reconstruction of coronary angiographic data. This will be achieved by applying refinements of a novel algorithm to already developed computerized densitometric techniques. The algorithm is rapid, and may readily be applied to a large number of image frames. The-algorithm is shown to provide accurate measurements of cross- sectional shape at very low quantum counts. A new anti=warping transformation is presented and designed to invert precisely the effects of patient and heart motion. The goal of the effort is to develop a real-time algorithm for angiographic data, which will allow for reliable decisions for choosing therapy, and immediate decisions while doing balloon angioplasty. The algorithm is expected to have widespread application in industry.

冠状动脉病变程度估计的准确性 疾病是评估长期影响的关键 治疗干预，如饮食，降脂药物， 冠状动脉搭桥手术和球囊血管成形术（PTCA），以及 评估预后和选择适当的治疗方式 对于每一个病人。 冠状动脉的目视判读 动脉造影是今天定义 冠心病的病理解剖学 存在固有 然而，这种解释方法存在局限性。 典型地， 观察员将得出船只百分比的估计， 通过观察平均2个视图缩小直径， 彼此成直角。 估计的重大错误 当动脉粥样硬化斑块不 完全圆形或同心地位于管腔内;在 事实上，大多数病变是偏心的， 形状. 这项建议是为了发展一种改进的、客观的方法 用于冠状动脉造影数据的三维重建。 这将通过应用新算法的改进来实现 已经发展起来的计算机密度测量技术。 的 算法是快速的，可以很容易地应用于大量的 的图像帧。 该算法被证明是提供准确的测量交叉， 在非常低的量子数下的截面形状。 一种新的抗弯 变换的提出和设计，以准确地反演 患者和心脏运动的影响。 这项工作的目标是开发一种实时算法， 血管造影数据，这将允许可靠的决策， 选择治疗，并立即决定，而做气球 血管成形术该算法预计将广泛应用于 在工业上的应用。