L2M NSERC - The Simple Perfusion Reconstruction Algorithm (SPIRAL)

L2M NSERC - 简单灌注重建算法 (SPIRAL)

• 批准号: 580688-2023
• 负责人: Barber, PhilipA
• 金额: $ 1.46万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749538
• 关键词: L2M; NSERC; Simple; Perfusion; Reconstruction

In stroke care, "time is brain", and every second counts when diagnosing and treating a patient in order to save the most brain tissue possible. In order to make a treatment decision, an important measurement to quantify is the blood flow rate to the affected tissue. Currently, the imaging techniques used to make this measurement are either not widely available, too expensive or are too slow, and are therefore not ideal for determining blood perfusion measurements. Our solution, the Simple Perfusion Reconstruction Algorithm (SPIRAL) allows for the measurement of blood flow from an existing scan that is widely available to most care centers, and does so in a safer, cheaper, and faster process.

在中风护理中，“时间就是大脑”，在诊断和治疗患者时，每一秒都很重要，以便尽可能挽救最多的脑组织。为了做出治疗决策，要量化的重要测量是到受影响组织的血液流速。目前，用于进行这种测量的成像技术要么不广泛使用，要么太昂贵，要么太慢，因此对于确定血液灌注测量结果并不理想。我们的解决方案，简单灌注重建算法（SPIRAL）允许从大多数护理中心广泛使用的现有扫描中测量血流，并以更安全，更便宜和更快的过程完成。