Multiparametric Volumetric MR Characterization of Intracranial Lesions

颅内病变的多参数体积 MR 表征

• 批准号: 8631919
• 负责人: Andrew A. Maudsley
• 金额: $ 55.02万
• 依托单位: UNIVERSITY OF MIAMI SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8631919
• 关键词: Advanced Development; Blood flow; Brain; Brain Pathology; Brain imaging; Cephalic; Classification; Clinical; Collaborations; Computer Assisted; Computer software; Computer-Assisted Image Analysis; Data; Data Analyses; Data Set; Databases; Development; Diagnosis; Diagnostic; Diagnostic Imaging; Diagnostic Procedure; Diagnostic radiologic examination; Differential Diagnosis; Diffusion; Diffusion weighted imaging; Discrimination; Effectiveness; Evaluation; Functional Imaging; Histocompatibility Testing; Image; Image Analysis; Infiltration; Joints; Lesion; Libraries; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Malignant neoplasm of brain; Maps; Measurement; Measures; Medical; Metabolic; Metabolism; Methods; Monitor; Normal tissue morphology; Outcome; Outcome Study; Outpatients; Pathology; Patients; Performance; Perfusion; Physiology; Procedures; Process; Property; Protocols documentation; Public Health; Quality Control; ROC Curve; Reading; Relative (related person); Reproducibility; Resolution; Scientist; Signal Transduction; Site; Spin Labels; System; Techniques; Technology; Testing; Tissues; Translations; base; cluster computing; computerized data processing; diagnostic accuracy; efficacy evaluation; follow-up; image reconstruction; imaging modality; improved; instrument; interest; novel; public health relevance; radiologist; reconstruction; response; spectroscopic imaging; standard of care; technology development; tumor

DESCRIPTION (provided by applicant): MRI acquisitions that map parameters reflecting tissue metabolism and physiology offer considerable potential for improving the yield of diagnostic imaging studies of intra-cranial brain lesions, including better characterization of the type of lesion and increased sensitivity to detect subtle changes of tissue function due to tumor infiltration or response to therapy. A method of particular interest for characterization of brain cancers is MR spectroscopic imaging; however, the techniques currently provided on commercial instruments do not take advantage of recent development in technology and data processing and the potential for new implementations of this imaging modality has yet to be fully evaluated. Additional effort is required to determine the optimal selection of structural and parametric imaging methods for diagnostic studies of brain lesions. This study will develop and make available to other users an efficient implementation of a multiparametric MRI protocol that includes a volumetric "whole-brain" and high spatial resolution MR spectroscopic imaging method that will be integrated onto 3T MRI instruments from Siemens Medical Systems. The MRI protocol will include a novel volumetric and calibrated arterial spin labeling acquisition and diffusion weighted imaging. This combination of advanced imaging modalities will provide optimal sensitivity and spatial coverage for diagnostic MRI studies of intra-cranial masses. The diagnostic efficacy of this multi-parametric and quantitative MRI protocol will then be evaluated for studies of a wide range of brain pathologies in an outpatient setting. Studies will investigate the relative value of structural imaging and parametric imaging protocols, including evaluations of image quality, diagnostic accuracy, and inter- and intra-rater reliability. The data acquired fo this aim will then be used to develop and evaluate computer-aided diagnostic methods using voxel-based tissue classification of the multiparametric, volumetric, and quantitative image data.

描述（由申请人提供）：映射反映组织代谢和生理学的参数的MRI采集为提高颅内脑病变的诊断成像研究的产量提供了相当大的潜力，包括更好地表征脑内病变。 病变类型和增加的灵敏度，以检测由于肿瘤浸润或对治疗的反应而引起的组织功能的细微变化。一种特别感兴趣的表征脑癌的方法是磁共振光谱成像，然而，目前提供的商业仪器上的技术不利用最新的技术和数据处理的发展，这种成像方式的新的实现的潜力还有待充分评估。需要额外的努力来确定用于脑部病变诊断研究的结构和参数成像方法的最佳选择。本研究将开发并向其他用户提供多参数MRI协议的有效实施，该协议包括体积“全脑”和高空间分辨率MR光谱成像方法，该方法将集成到西门子医疗系统的3T MRI仪器上。MRI方案将包括一种新的体积和校准动脉自旋标记采集和弥散加权成像。这种先进成像模式的组合将为颅内肿块的诊断性MRI研究提供最佳的灵敏度和空间覆盖范围。然后，将在门诊环境中评价该多参数和定量MRI方案在广泛脑病理研究中的诊断有效性。研究将调查 结构成像和参数成像协议的相对价值，包括对图像质量、诊断准确性以及评估者间和评估者内可靠性的评价。为此目的获得的数据，然后将用于开发和评估计算机辅助诊断方法，使用基于体素的组织分类的多参数，体积和定量图像数据。