Novel paradigms for computational analysis for structure and function in medical images

医学图像结构和功能计算分析的新范例

• 批准号: 298141-2009
• 负责人: Abugharbieh, Rafeef
• 金额: $ 2.62万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=505607
• 关键词: Novel; paradigms; computational; analysis; structure

Over the past two decades, medical imaging has become one of the main pillars of modern healthcare. The increasingly rich spectrum of available structural and functional imaging technologies provides exquisite medical data that offer tremendous opportunities for non-invasive visualization and quantitative analysis of anatomy and physiology. Applications, some of which are clinical realities, vary from basic computer-assisted diagnostics to elaborate image-guided interventions. Exploiting the enormous amounts of information embedded in such medical image data is, however, a very complicated task. In fact, the lack of efficient, accurate, and robust computational analysis techniques poses huge challenges that seriously hinder optimal extraction and use of image information in practice.

在过去的二十年中，医学成像已成为现代医疗保健的主要支柱之一。可用的结构和功能成像技术的范围日益丰富，提供了精致的医学数据，为解剖学和生理学的非侵入性可视化和定量分析提供了巨大的机会。应用范围从基本的计算机辅助诊断到复杂的图像引导干预，其中一些是临床现实。然而，利用此类医学图像数据中嵌入的大量信息是一项非常复杂的任务。事实上，缺乏高效、准确和鲁棒的计算分析技术带来了巨大的挑战，严重阻碍了图像信息在实践中的最佳提取和使用。