Medical physics and biomedical technology development for next generation dose measurement, optimization and computation tools

下一代剂量测量、优化和计算工具的医学物理和生物医学技术开发

• 批准号: RGPIN-2019-05038
• 负责人: Beaulieu, Luc
• 金额: $ 5.46万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=714785
• 关键词: Medical; physics; biomedical; technology; development

Cancer is now the most important cause of premature death in industrialized country and around 50% of cancer patients will have one form of radiation therapy, alone and in combination with surgery and chemotherapy, as part of their treatments. As with any cytotoxic agents, radiation, which must be used safely, has the distinct advantages of being a local treatment modality for which the basic interaction processes with matter are well-known (relative to systemic chemotherapy agents) i.e. the physical dose and its spatial extension can be predicted with high precision. The search for novel approaches to cure or manage cancer is extremely active. Still, a recent review shows that cancers are mainly “cured” using surgery and radiation therapy. This is because surgery and radiation therapy are also benefiting from continuous technological and scientific advances. Our research program is rooted in this paradigm as the ongoing, long-term objective of the research program is to increase the accuracy of dose measurements, dose optimization and dose calculations for radiation-based precision medicine. This is achieved through a comprehensive research program combining elements of basic and applied research in medical physics and biomedical engineering. The proposed program hinges on radiation physics, optics, numerical optimization problems, image and signal processing and high-performance numerical computing. It is a well-established, wide-ranging and highly productive research program. The methodology used combines both experimental and numerical approaches to build tools and algorithms that are novel and clinically relevant to radiation medicine. The 5-year objectives for this renewal spreads along three main research tracks: 1) Development of new plan optimization algorithms, 2) Development of novel scintillation dosimeters, 3) Monte Carlo method for radiation-matter simulations. Our close connection with clinical teams ensures that our program, and its 5-year objectives listed above, are strongly connected with real clinical need. More importantly, the application of the said technologies and algorithms that we are developing has the potential for improved precision of radiation medicine, and thus quality of life of patients, in Canada and worldwide. As a result, they are highly sought after by the various stakeholders (clinicians, researchers, ) as well as the biomedical technology industry partners, actual and future.

癌症现在是工业化国家过早死亡的最重要原因，大约50%的癌症患者将接受一种形式的放射治疗，单独或与手术和化疗相结合，作为其治疗的一部分。与任何细胞毒性剂一样，必须安全使用的放射具有作为局部治疗方式的明显优势，其与物质的基本相互作用过程是众所周知的（相对于全身化疗剂），即物理剂量及其空间范围可以高精度预测。寻找治疗或管理癌症的新方法非常活跃。尽管如此，最近的一项综述显示，癌症主要是通过手术和放射治疗“治愈”的。这是因为手术和放射治疗也受益于不断的技术和科学进步。 我们的研究计划植根于这一范式，因为研究计划的长期目标是提高基于辐射的精准医学的剂量测量，剂量优化和剂量计算的准确性。这是通过一个综合的研究计划，结合医学物理学和生物医学工程的基础和应用研究的元素来实现的。该计划涉及辐射物理，光学，数值优化问题，图像和信号处理以及高性能数值计算。这是一个完善的，广泛的和高生产力的研究计划。所使用的方法结合了实验和数值方法，以建立新的和临床相关的放射医学的工具和算法。 此次更新的5年目标沿着三个主要研究轨道展开： 1)开发新的计划优化算法， 2)新型闪烁剂量计的研制， 3)辐射物质模拟的蒙特卡罗方法。 我们与临床团队的密切联系确保了我们的计划及其上面列出的5年目标与真实的临床需求密切相关。更重要的是，我们正在开发的上述技术和算法的应用有可能提高放射医学的精度，从而提高加拿大和全球患者的生活质量。因此，它们受到各种利益相关者（临床医生，研究人员）以及生物医学技术行业合作伙伴的高度追捧，无论是实际还是未来。