Robust 3D MR spectroscopic imaging through multi-coil magnetic field shaping

通过多线圈磁场整形实现稳健的 3D MR 光谱成像

• 批准号: 9552164
• 负责人: ROBIN A DE GRAAF
• 金额: $ 50.29万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9552164
• 关键词: Affect; Air; Alzheimer' s Disease; Area; Biopsy; Brain; Brain Neoplasms; Butyric Acids; Chemicals; Choline; Classification; Clinical; Creatine; Data; Data Compromising; Data Quality; Elements; Ensure; Epilepsy; Excision; Funding; Generic Drugs; Glutamates; Hippocampus (Brain); Human; Image; Implant; Inferior; Infiltration; Lesion; Lipids; Location; Magnetic Resonance Imaging; Maps; Metabolic; Metabolism; Metals; Methods; Modality; Modification; Monitor; Motion; Multiple Sclerosis; Nature; Neurodegenerative Disorders; Operative Surgical Procedures; Pathology; Patients; Performance; Play; Population; Predisposition; Radiation therapy; Radiosurgery; Reproducibility; Resolution; Role; Shapes; Signal Transduction; Slice; Specificity; System; Technology; Temporal Lobe; Testing; Tissues; Translating; Validation; Water; base; design; experience; flexibility; frontal lobe; gamma-Aminobutyric Acid; high resolution imaging; imaging modality; improved; magnetic field; metabolic imaging; metabolic profile; metallicity; nervous system disorder; neurological pathology; novel; prefrontal lobe; spectrograph; spectroscopic imaging; success; tumor; water quality

PROJECT SUMMARY MR spectroscopic imaging (MRSI) is a powerful, non-invasive method to map the metabolic profile of human brain. The intrinsic chemical specificity of MRSI can reveal altered metabolism in regions that would appear non-pathologic on standard MRI. MRSI has successfully been used for brain tumor classification and infiltration, planning of radiation therapy and surgery and has helped to characterize a range of neurodegenerative diseases such as multiple sclerosis, Alzheimer's disease and epilepsy. Despite its merits and successes, MRSI is not a widespread imaging modality because the method is hampered by the long- standing problem of magnetic field inhomogeneity, which leads to lower-quality and thus less-reproducible data. Incomplete water and lipid suppression can compromise data quality even further. Over the last decade we have developed multi-coil (MC) shimming as an alternative to conventional spherical harmonics based shimming. By controlling the current in a matrix of generic, circular DC coils the magnetic field homogeneity can be improved to less than 0.1 ppm across the entire human brain. In this renewal application we propose to apply our extensive experience with MC field manipulation and the superior performance of MC shimming to achieve consistent and reliable MRSI performance across the human brain. Aim 1 is focused on the implementation of MC shimming and its integration with ultra-fast, EPI-based MRSI. The MC technology will be modified and extended to generate local crusher gradients for effective lipid suppression. Aim 2 is concerned with the validation of MC-augmented MRSI on the human brain. Besides comparisons between MC and conventional shimmed MRSI, Aim 2 will also establish intra- and inter-subject, as well as test-retest reproducibility. In addition, the MC setup optimized at 4 T will be transferred to 3 T and 7 T, without modifications, to demonstrate compatibility of MC-based shimming with clinical MR systems. The implementation and validation of MC-augmented MRSI is considered complete when >90% of MRSI voxels on all slices, all subjects and all scanners adhere to stringent data quality requirements. While all neurological disorders and pathologies can benefit from high-fidelity MRSI, Aim 3 focuses on obtaining high-quality, reliable MRSI on tumor patients. The presence of metallic implants in many post-surgery tumor patients, in addition to tumor-related pathology, compromises the magnetic field homogeneity. MC shimming will be used to demonstrate that high-fidelity MRSI can be achieved on a challenging, clinical subject population.

项目摘要 MR光谱成像（MRSI）是一种强大的，无创的方法，用于绘制人类的代谢形象 脑。 MRSI的固有化学特异性可以揭示出现的新陈代谢改变 标准MRI的非病理学。 MRSI已成功用于脑肿瘤分类和 浸润，放射治疗和手术的计划，并有助于表征一系列 神经退行性疾病，例如多发性硬化症，阿尔茨海默氏病和癫痫。尽管有优点 成功，MRSI并不是广泛的成像方式，因为该方法被长期阻碍 磁场不均匀性的站立问题，导致质量较低，因此可复制较少 数据。不完全的水和脂质抑制会进一步损害数据质量。在过去的十年中 我们已经开发了多型线圈（MC），以替代传统球形谐波的替代方案 颤抖。通过控制通用矩阵中的电流，圆形直流磁场均匀性 在整个人脑中，可以提高到小于0.1 ppm。在此续签应用中，我们建议 运用我们在MC现场操纵和MC Shimming的出色表现的丰富经验 在整个人的大脑中实现一致可靠的MRSI表现。 AIM 1专注于 MC Shimming的实施及其与超快速的基于EPI的MRSI的整合。 MC技术将是 修改并扩展以生成局部破碎机梯度，以进行有效的脂质抑制。 AIM 2关心 通过验证MC-EAGMENT MRSI在人脑上。除了比较MC和 常规的MRSI MRSI，AIM 2也将建立受主体内和主体间以及重测 可重复性。此外，在4 T处进行优化的MC设置将转移至3 t和7 t，而无需 修改，以证明基于MC的临床与临床MR系统的兼容性。这 当> 90％的MRSI VoxelS上的MRSI的实施和验证被认为是完整的 所有切片，所有受试者和所有扫描仪都符合严格的数据质量要求。而所有神经系统 疾病和病理可以受益于高保真MRSI，AIM 3专注于获得高质量，可靠的 MRSI对肿瘤患者。许多手术后肿瘤患者中存在金属植入物，此外 与肿瘤相关的病理学，损害了磁场同质性。 MC Shimming将习惯 证明可以在具有挑战性的临床受试者人群中实现高保真性MRSI。