Automatic quality assessment of rigid registration of ultrasound images for radiotherapy

放射治疗超声图像刚性配准的自动质量评估

• 批准号: 488025-2015
• 负责人: Rivaz, Hassan
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586137
• 关键词: Automatic; quality; assessment; rigid; registration

The goal of radiotherapy (RT) is to maximize radiation dose to the tumour while minimizing dose to healthy tissues. The emergence of stereotactic body radiotherapy (SBRT) promises to shorten treatment time from a few weeks to a few days, which is especially significant in remote and rural areas where long commutes are required to attend an RT session. Many organs, such as prostate, liver, lungs and breast, can move substantially during RT due to factors such as breathing, digestion, bladder filling, etc. Therefore, accurate continuous localization of the target is of particular importance in SBRT. Ultrasound is a safe and real-time imaging modality and is commonly used for imaging of soft tissue. It is also significantly less expensive than magnetic resonance (MR) and computed tomography (CT). Tissue tracking with ultrasound can be performed with what is known as image registration in the medical imaging community, which is an active field of research. The tracking information can be used to compensate for motion during treatment. Since the tracking is done automatically, it is important to develop quality assessment (QA) techniques to reduce the chance of missing the target. We propose to develop novel image processing and machine learning techniques that will automatically perform QA of the registration outcome, so that the RT can be temporarily suspended until high quality tracking is restored. Elekta is a world leader in development of advanced RT solutions with strong research and development presence in Canada. The tools developed here may eventually enable more efficient RT methods that significantly shorten the treatment time from daily visits to RT centers from 3-5 weeks to just few days. This is particularly important for individuals who reside in remote areas of Canada, where patients have to be relocated for a long time to receive RT treatment. Furthermore, ultrasound is significantly less expensive and faster compared to MR and CT, and a reliable ultrasound-based tracking system leads to substantial saving for our healthcare system.

放射治疗(RT)的目标是使肿瘤的辐射剂量最大，而对健康的辐射剂量最小。 纸巾。立体定向全身放射治疗(SBRT)的出现有望将治疗时间从 几周到几天，这在偏远和农村地区尤其重要，因为那里通勤时间很长 需要参加RT会议。许多器官，如前列腺、肝脏、肺和乳房，都可以大幅移动。 RT过程中由于呼吸、消化、膀胱充盈等因素，因此，准确连续 靶点的本地化在SBRT中尤为重要。超声是一种安全、实时的成像方法 这是一种成像方式，通常用于软组织成像。它也比磁铁便宜得多。 磁共振(MR)和计算机断层扫描(CT)。利用超声波进行组织跟踪可以用什么来执行 图像配准在医学影像学界被称为图像配准，是一个活跃的研究领域。这个 跟踪信息可用于补偿治疗期间的运动。因为跟踪已经完成 自动地，开发质量评估(QA)技术以减少遗漏的机会是很重要的 目标。我们建议开发新的图像处理和机器学习技术， 自动执行注册结果的QA，以便RT可以暂时暂停到高 质量跟踪已恢复。Elekta是开发高级RT解决方案的世界领先者，拥有强大的 在加拿大的研发机构。这里开发的工具最终可能会实现更高效的 放射治疗方法将治疗时间从每天去放射治疗中心的时间从3-5周缩短到 几天。这对于居住在加拿大偏远地区的个人来说尤其重要，那里的患者 必须搬迁很长时间才能接受RT治疗。此外，超声波明显更少 与MR和CT相比，成本更高、速度更快，而可靠的基于超声波的跟踪系统可以 为我们的医疗体系节省了大量资金。