BAYESIAN ENHANCEMENT OF ECHOCARDIOGRAPHIC STRAIN ASSESSMENT

超声心动图应变评估的贝叶斯增强

• 批准号: 8403974
• 负责人: JAMES Gegan MILLER
• 金额: $ 18.09万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-15 至 2014-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8403974
• 关键词: Adult; Affect; American Heart Association; Bayesian Analysis; Bayesian Method; Cardiac; Cardiomyopathies; Childhood; Clinical; Congenital Heart Defects; Coupled; Data; Data Analyses; Data Reporting; Data Set; Databases; Diagnosis; Diagnostic; Evaluation; Goals; Health Care Costs; Heart Diseases; Image; Laboratories; Marketing; Measurement; Measures; Methods; Modeling; Myocardial; Noise; Patient Care; Performance; Physicians; Probability; Process; Quality of life; Quantitative Evaluations; Radial; Reporting; Research; Signal Transduction; Staging; Technology; Time; Visual; base; cost; data reduction; design; improved; interest; novel; parallel processing; tool

Project Relevance. Cardiac disease reduces quality of life and carries enormous health care costs. The proposed research uses novel Bayesian methods for improving the stability and reliability of myocardial strain measurements resulting in their more routine use as a diagnostic tool in the clinical setting. These fundamental improvements are designed to identify cardiac abnormalities more reliably, thus enhancing patient care.

项目相关性。 心脏病降低了生活质量，并带来了巨大的医疗保健费用。拟议的研究用途 新型的贝叶斯方法，用于提高心肌应变测量的稳定性和可靠性，从而 在临床环境中，他们的常规用作作为诊断工具。这些基本的改进是 旨在更可靠地识别心脏异常，从而增强患者护理。