Combining data and model-driven approaches for the analysis of dynamic contrast-enhanced image sequences

结合数据和模型驱动方法来分析动态对比度增强图像序列

• 批准号: 293126-2010
• 负责人: Martel, Anne
• 金额: $ 1.46万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=525801
• 关键词: Combining; data; model; driven; approaches

Dynamic medical or biological images are acquired after a contrast agent or dye is injected and continue to track the changes that occur during the passage of the contrast agent through the tissue of interest. This kind of study provides far more information than can be obtained from static imaging techniques alone. For example an aggressive tumour will accumulate contrast agent more rapidly than a benign lesion allowing the clinician to make a diagnosis. Contrast enhanced imaging is also frequently carried out before and after a therapeutic procedure in order to obtain a measure of the patients' response.

动态医学或生物图像是在注射造影剂或染料后获得的，并继续跟踪造影剂通过感兴趣组织期间发生的变化。这类研究提供的信息远远多于仅从静态成像技术中获得的信息。例如，侵袭性肿瘤会比良性病变更快地积累造影剂，从而使临床医生能够做出诊断。对比剂增强成像也经常在治疗过程前后进行，以获得患者反应的测量。