Estimation of tissue deformation in medical images

医学图像中组织变形的估计

• 批准号: RGPIN-2015-04136
• 负责人: Rivaz, Hassan
• 金额: $ 1.97万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636987
• 关键词: Estimation; tissue; deformation; medical; images

We have seen a significant increase in the use of computers in medicine in the past decade. Extensive use of medical image analysis techniques has helped clinicians transcend many limitations of conventional medicine. The focus of my research lies in the same paradigm: to develop novel medical image analysis techniques that are reliable for clinical use. More specifically, my research program involves the development of novel computing techniques for ultrasound (US) elastography and fusion/registration of US images to magnetic resonance (MR) and computed tomography (CT).

在过去的十年中，我们看到计算机在医学中的使用显着增加。医学图像分析技术的广泛使用帮助临床医生超越了传统医学的许多局限性。我的研究重点在于同一范式：开发临床使用可靠的新型医学图像分析技术。更具体地说，我的研究项目涉及开发用于超声 (US) 弹性成像的新型计算技术以及 US 图像与磁共振 (MR) 和计算机断层扫描 (CT) 的融合/配准。