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数量预计将上升到1810万人，估计耗资1580亿美元。目前，放射治疗在近60%的癌症治疗中起着至关重要的作用。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破坏性影响。在提供治疗的过程中，这通常会受到胸部和腹部呼吸诱导运动的挑战。我们的建议满足了目前对不增加患者剂量负担的放射治疗的成本效益和非侵入性实时运动管理平台的需求。我们将开发和验证一种新的图像引导技术，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，该换能器与治疗前校准训练图像集耦合，该图像集包括 同时进行4D超声和4D MRI采集。图像集将使用先进的图像和信号处理算法进行快速匹配，从而允许实时显示来自超声采集的肿瘤/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。威斯康星大学(UW)和通用电气全球研究中心(GRC)的一个多学科研究团队涵盖了超声波成像和探头设计、磁共振成像、信号处理、放射治疗物理和治疗规划方面的专业知识。这项工作的完成将带来多项创新，包括：(2D)贴片状、MR和Linac兼容的4D平面超声换能器，该换能器可通过电子控制进行免提操作，从而在放射治疗期间提供实时虚拟MR和超声成像以进行运动管理；使用US和MRI的多模肿瘤定位策略；快速、准确的图像处理算法，提供有关肿瘤相关软组织结构在患者体内的运动和位置的实时信息；以及新型图像引导的放射治疗运动管理平台，将用于基于直接显示肿瘤运动的基础上指导治疗。这项研究的广泛和长期目标是证明我们的平台通过显著增加移动的肿瘤靶区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，我们的建议的应用不仅限于IGRT，因为该技术也可以应用于其他图像引导程序(质子治疗、近距离放射治疗、活检、手术和药物输送)。