Multiparametric Volumetric MR Characterization of Intracranial Lesions

描述（由申请人提供）：绘制反映组织代谢和生理学参数的 MRI 采集数据，为提高颅内脑损伤的诊断成像研究的产量提供了巨大的潜力，包括更好地表征 病变类型以及检测由于肿瘤浸润或治疗反应而引起的组织功能细微变化的敏感性增加。磁共振波谱成像是一种特别受关注的脑癌表征方法。然而，目前在商业仪器上提供的技术并未利用技术和数据处理方面的最新发展，并且这种成像模式新实施的潜力尚未得到充分评估。需要付出额外的努力来确定用于脑损伤诊断研究的结构和参数成像方法的最佳选择。这项研究将开发并向其他用户提供多参数 MRI 协议的有效实施，其中包括体积“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 协议将包括新颖的体积和校准动脉自旋标记采集和扩散加权成像。这种先进成像方式的组合将为颅内肿块的诊断 MRI 研究提供最佳的灵敏度和空间覆盖范围。然后将评估这种多参数和定量 MRI 协议的诊断功效，以用于门诊环境中各种脑部病理学的研究。研究将调查 结构成像和参数成像协议的相对价值，包括图像质量、诊断准确性以及评估者间和评估者内可靠性的评估。为此目的获得的数据将用于开发和评估计算机辅助诊断方法，该方法使用多参数、体积和定量图像数据的基于体素的组织分类。

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.