Quasi-rigid image registration for DCE-MRI

DCE-MRI 的准刚性图像配准

• 批准号: 8598873
• 负责人: Abhijit J Chaudhari
• 金额: $ 7.04万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8598873
• 关键词: Address; Adjuvant; Adult; Algorithms; Angiogenesis Inhibitors; Arthritis; BAY 54-9085; Biological Markers; Body Regions; Body part; Clinic; Clinical; Clinical Management; Clinical Trials; Collaborations; Communities; Computer software; Computers; Data; Derivation procedure; Development; Disease; Drug Formulations; Elasticity; Elements; Funding; Future; Goals; Gold; Head and Neck Cancer; Human; Hybrids; Image; Image Analysis; Imaging Device; Imaging technology; Individual; Longitudinal Studies; Magnetic Resonance Imaging; Malignant Neoplasms; Measures; Medicine; Methods; Metric; Modeling; Monitor; Motion; Musculoskeletal Diseases; Patient Selection; Patients; Performance; Pharmaceutical Preparations; Physicians; Physics; Play; Population; Positron-Emission Tomography; Process; Protocols documentation; Radiation therapy; Radiology Specialty; Reading; Research; Role; Scanning; Scheme; Software Tools; Surgical Oncologist; Surgical Oncology; Surrogate Endpoint; System; Techniques; Technology; Testing; Therapeutic; Three-Dimensional Image; Training; United States National Institutes of Health; Validation; Visual; Work; base; bone; cancer imaging; combat; design; flexibility; human disease; image registration; innovation; insight; novel; novel therapeutics; open source; pre-clinical; public health relevance; radiologist; response; sarcoma; soft tissue; tool; treatment duration; treatment response

DESCRIPTION (provided by applicant): Dynamic-contrast enhanced magnetic resonance imaging (DCE-MRI) biomarkers are displaying significant promise as early indicators of therapeutic response in the modern clinic. As a consequence, they possess an evolving role in the current realm of individualized medicine. Challenges remain however regarding their application in cross-sectional contemporaneous or longitudinal studies - it is critical in these studies to decouple errors due to intra-scan patient motion or repositioning on the scanner from anatomical or functional changes occurring due to treatment that these biomarkers reflect. Tools that are capable of rapid, but reliable derivation of DCE-MRI biomarkers are therefore urgently needed. The GOAL of this proposed work is to develop, implement and validate three-dimensional image registration technology for enabling the rapid derivation of disease-associated biomarkers from clinical DCE-MRI. The focus is on the alignment of intra-subject anatomical images of body regions that involve both rigid (bone) and non-rigid (soft tissue) components. In our innovative registration scheme, pre-determined components such as bones deform in a rigid manner while soft tissue warps non-rigidly. We HYPOTHESIZE therefore that our method will provide better modeling of patient repositioning compared to currently clinically used technologies as well as state-of-the-art registration methods. In our SPECIFIC AIMS, we will: (1) develop the quasi-rigid, intra-subject registration method for MR image alignment, and (2) validate the registration method using MR images of adult patients with soft tissue sarcoma in a retrospective setting. Both computer-based and human observers will be used to compare the performance of the proposed method against conventional rigid and non-rigid registration methods. A novel system for radiologic scoring of the merits of image registration is devised and will be tested. The registration method will be developed as an open-source technique allowing easy distribution. DCE-MRI biomarkers are currently being evaluated as surrogate end-points in clinical trials of several novel drug treatments. The proposed registration method will enable rapid quantitative change analyses of DCE-MRI biomarkers over the treatment period. Physicians will be able to use this information to tailor therapeutic strategies according to the individual requirements of their patients. In this context, techniques developed in this proposal are applicable to a broad class of human diseases, e.g., oncologic (e.g., sarcomas, head and neck cancer, etc) or musculoskeletal disease (e.g., arthritis, etc). This work is a close collaboration with Robert Canter, a surgical oncologist who specializes in the clinical management of soft tissue sarcoma, Michael Buonocore, an MRI physicist whose expertise lies in clinical MRI protocol design and image analysis, Robert Boutin, a clinical radiologist with expertise in soft tissue sarcoma and consultant Wayne Monsky, an expert in cancer imaging biomarker development.

描述（由申请人提供）：动态对比增强的磁共振成像（DCE-MRI）生物标志物在现代诊所中显示出巨大的前景，作为治疗反应的早期指标。结果，他们在当前的个性化医学领域中具有不断发展的作用。然而，关于它们在横截面同期或纵向研究中的应用仍然存在的挑战 - 在这些研究中，由于扫描内的患者运动或重新定位扫描仪引起的错误或功能变化，因此由于治疗而导致的扫描仪，这些生物标志物反映出这些研究至关重要。因此，迫切需要能够快速但可靠推导DCE-MRI生物标志物的工具。这项拟议工作的目的是开发，实施和验证三维图像登记技术，以使临床DCE-MRI快速推导与疾病相关的生物标志物的快速推导。重点是涉及刚性（骨）和非刚性（软组织）组件的人体区域内解剖图像的比对。在我们的创新注册方案中，预定的成分，例如骨骼以刚性方式变形，而软组织则无辅助地扭曲。我们假设与当前使用的技术以及最新的注册方法相比，我们的方法将提供更好的患者重新定位建模。在我们的具体目的中，我们将：（1）开发用于MR图像对准的准刚性，受试者内注册方法，（2）使用在回顾性环境中使用软组织肉瘤的成人肉瘤的MR图像验证注册方法。基于计算机的观察者和人类观察者都将用于比较所提出的方法的性能与常规的刚性和非刚性注册方法。设计了一个新型的放射学评分系统，设计了图像登记的优点并将进行测试。注册方法将作为一种开源技术开发，可轻松分发。在几种新型药物治疗的临床试验中，目前正在将DCE-MRI生物标志物评估为替代点。提出的注册方法将在治疗期间对DCE-MRI生物标志物进行快速定量变化分析。医师将能够根据患者的个人要求来使用此信息来量身定制治疗策略。在这种情况下，本提案中开发的技术适用于广泛的人类疾病，例如肿瘤学（例如肉瘤，头颈癌等）或肌肉骨骼疾病（例如关节炎等）。这项工作是与一名外科肿瘤学家罗伯特·坎特（Robert Canter）的密切合作，他专门研究软组织肉瘤的临床管理，迈克尔·布诺科尔（Michael Buonocore），MRI物理学家，其专业知识在于临床MRI协议设计和图像分析，罗伯特·布丁（Robert Butin），临床放射科医生，一名临床放射科医生，具有软组织肉瘤和顾问Wayne Monsky的专业知识。