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

3-D、实时、X 射线重建。

• 批准号: 3508481
• 负责人: WOLFRAM R JARISCH
• 金额: $ 25.29万
• 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 1990-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3508481
• 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.

冠状动脉严重程度估计的精确度 疾病是评估艾滋病长期效果的关键 治疗干预措施，如饮食、降脂药物、 冠状动脉搭桥手术，以及球囊血管成形术(PTCA) 作为评估预后和选择适当的治疗形式 对于每个单独的病人。冠状动脉的视觉解读 动脉造影术是今天定义 冠心病的病理解剖。有内在的 然而，这种解释方法存在局限性。通常， 观察员将推算出船只所占的百分比。 通过查看平均2个视图来缩小直径 彼此成直角。一个重大的估计误差 当动脉粥样硬化斑块不是时，可能会产生管腔大小 完全圆形的或同心地位于管腔内的；在 事实上，大多数病变是偏心性的，有不规则的 形状。这项建议是为了开发一种改进的、客观的方法 用于冠状动脉造影数据的三维重建。 这将通过应用一种新算法的改进来实现 已经开发出计算机化的密度测量技术。这个 该算法速度快，易于大量应用 图像边框。 结果表明，该算法能够提供准确的交叉测量。 在非常低的量子数下的截面形状。一个新的反翘曲 变换的提出和设计是为了精确地反转 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，用于 血管造影数据，这将使可靠的决策 选择治疗，并在气球飞行时立即做出决定 血管成形术。预计该算法将得到广泛的应用 在工业上的应用。