Real-time Tumor Localization and Guidance for Radiotherapy Using US and MRI

使用超声和 MRI 进行实时肿瘤定位和放射治疗指导

• 批准号: 9321769
• 负责人: Bryan Patrick Bednarz
• 金额: $ 63.23万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9321769
• 关键词: 4D MRI; Abdomen; Address; Algorithms; Anatomy; Area; Biopsy; Brachytherapy; Calibration; Cancer Patient; Cancer Survivor; Chest; Clinical; Clinical Trials; Coupled; Data; Dose; Drug Delivery Systems; Environment; Future; Goals; Hand; Image; Imagery; Individual; Linear Accelerator Radiotherapy Systems; Liver neoplasms; Location; Magnetic Resonance Imaging; Malignant neoplasm of liver; Measurement; Medical; Methods; Modality; Motion; Operative Surgical Procedures; Organ; Outcome; Patients; Phase; Physics; Play; Precision therapeutics; Procedures; Process; Radiation; Radiation Oncology; Radiation therapy; Reproducibility; Research; Research Personnel; Resolution; Resources; Roentgen Rays; Role; Speed; Structure; System; Techniques; Technology; Therapeutic; Time; Tissues; Training; Tumor Volume; Ultrasonic Transducer; Ultrasonography; United States; Universities; Validation; Variant; Wisconsin; Work; base; cancer cell; cancer imaging; cancer therapy; cost; cost effective; design; image guided; image guided radiation therapy; image processing; imaging capabilities; imaging probe; improved; indexing; innovation; magnetic field; multidisciplinary; novel; operation; proton therapy; public health relevance; radiation absorbed dose; respiratory; signal processing; soft tissue; success; treatment planning; treatment strategy; tumor; virtual

 DESCRIPTION (provided by applicant): By 2020, the expected number of cancer survivors in the US is projected to rise to 18.1 million individuals costing an estimated $158 billion US dollars. Radiation therapy currently plays an essential role in the management of nearly 60% of all cancer treatments. The success of radiotherapy depends on the ability to target malignant cells with radiation while simultaneously protecting surrounding healthy tissue from damaging effects. This is often challenged by respiratory-induced motion in the thoracic and abdominal regions during the delivery of the treatment. Our proposal addresses the current need for a cost-effective and non-invasive real- time motion management platform for radiotherapy that does not increase the dose burden to patients. We will develop and validate a novel image-guidance technique to directly track tumor motion using a 4D planar ultrasound transducer during radiation therapy that is coupled to a pre-treatment calibration training image set consisting of a simultaneous 4D ultrasound and 4D MRI acquisition. The image sets will be rapidly matched using advanced image and signal processing algorithms, allowing the display of virtual MR images of the tumor/organ motion in real-time from an ultrasound acquisition. Although our proposal focuses on radiation therapy of liver cancers, it is applicable to other areas of the body A multi-disciplinary team of researchers from University of Wisconsin (UW) and General Electric Global Research Center (GRC) covering expertise in ultrasound imaging and probe design, MRI, signal processing, radiation therapy physics and treatment planning. The completion of this work will result in several innovations including: a (2D) patch-like, MR and LINAC compatible 4D planar ultrasound transducer that is electronically steerable for hands-free operation to provide real-time virtual MR and ultrasound imaging for motion management during radiation therapy; a multi- modal tumor localization strategy that uses US and MRI; fast and accurate image processing algorithms that provide real-time information about the motion and location of tumor related soft-tissue structures within the patient; and, a novel image-guided radiation therapy motion management platform that will be used to guide treatments based on direct visualization of the moving tumor. The broad, long-term objective of this research is to demonstrate that our platform leads to improved clinical outcome in cancer patients by significantly increasing the therapeutic ratio between a moving tumor target volume and relevant sensitive structures Furthermore, the application of our proposal is not limited to IGRT, as the technology may be applied to other image-guided procedures (proton therapy, brachytherapy, biopsies, surgery, and drug delivery).

 描述（由申请人提供）：到2020年，美国癌症幸存者的预期人数预计将上升到1810万人，估计花费1580亿美元。放射治疗目前在近60%的癌症治疗中发挥着重要作用。放射治疗的成功取决于用辐射靶向恶性细胞的能力，同时保护周围的健康组织免受损害。这通常受到在治疗递送期间胸部和腹部区域中的运动诱导的运动的挑战。我们的建议解决了目前需要一个具有成本效益和非侵入性的真实的时间运动管理平台的放射治疗，不增加剂量负担的患者。我们将开发和验证一种新的图像引导技术，以在放射治疗期间使用4D平面超声换能器直接跟踪肿瘤运动，该换能器耦合到治疗前校准训练图像集， 同时进行4D超声和4D MRI采集。将使用先进的图像和信号处理算法快速匹配图像集，从而允许从超声采集实时显示肿瘤/器官运动的虚拟MR图像。虽然我们的建议侧重于肝癌的放射治疗，但它也适用于身体的其他领域。来自威斯康星州大学（UW）和通用电气全球研究中心（GRC）的多学科研究人员团队，涵盖超声成像和探头设计，MRI，信号处理，放射治疗物理学和治疗计划方面的专业知识。这项工作的完成将带来几项创新，包括：（2D）贴片状，MR和LINAC兼容的4D平面超声换能器，其可电子操纵，用于免提操作，以提供实时虚拟MR和超声成像，用于放射治疗期间的运动管理;使用US和MRI的多模式肿瘤定位策略;快速和准确的图像处理算法，其提供关于患者体内肿瘤相关软组织结构的运动和位置的实时信息;以及一种新型的图像引导放射治疗运动管理平台，该平台将用于基于移动肿瘤的直接可视化来引导治疗。这项研究的广泛的长期目标是证明我们的平台通过显著增加移动肿瘤靶体积和相关敏感结构之间的治疗比率来改善癌症患者的临床结果。此外，我们的提议的应用不限于IGRT，因为该技术可以应用于其他图像引导程序。（质子治疗、近距离放射治疗、活组织检查、手术和药物递送）。