Downfield MR spectroscopic imaging of the human brain

人脑的前场 MR 光谱成像

• 批准号: 10722828
• 负责人: İpek Özdemir
• 金额: $ 13.72万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10722828
• 关键词: 3-Dimensional; Acceleration; Address; Adult; Age; Amides; Award; Bioinformatics; Biomedical Engineering; Biometry; Biopsy; Brain; Brain Neoplasms; Brain imaging; Characteristics; Chemicals; Clinical; Clinical Research; Communities; Complement; Computer software; Data; Data Analyses; Databases; Detection; Development; Diagnosis; Diagnostic; Evaluation; Glioma; Goals; Grant; Human; Image; Imaging Techniques; Learning; MRI Scans; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Maps; Measures; Mentors; Metabolism; Methodology; Methods; Modernization; Monitor; Neurologic; Neurosciences; Noise; Outcome; Pathway interactions; Patients; Performance; Phase; Physiologic pulse; Pilot Projects; Prediction of Response to Therapy; Process; Protons; Publications; Publishing; Radiation necrosis; Recurrent tumor; Relaxation; Reproducibility; Research; Research Project Grants; Resolution; Resource Development; Route; Scanning; Signal Transduction; Slice; Software Framework; Software Tools; System; Techniques; Time; Tissues; Training; Translations; Universities; Variant; Visualization; Water; age related; biomarker identification; biomedical imaging; brain metabolism; career; career development; chemoradiation; clinical application; clinical practice; cohort; follow-up; healthy volunteer; human imaging; image processing; imaging approach; imaging modality; improved; in vivo; metabolic abnormality assessment; metabolic imaging; multimodality; neuropathology; novel; open source; precision medicine; reconstruction; skills; spectroscopic imaging; time use; tool; training opportunity; treatment choice; tumor diagnosis

Project Summary In proton magnetic resonance spectroscopy (MRS) of the human brain, signals arise both upfield (UF) and downfield (DF) from the water resonance. While UF MRS and MR spectroscopic imaging (MRSI) have been extensively studied in humans over the last 30 years, there have been very few downfield studies, and all of them used single voxel spatial localization. Recently, our group developed the first single slice approach for in vivo DF-MRSI at 3T5. Subsequently, I have further implemented the first three-dimensional (3D) DF-MRSI methods in the human brain with whole brain coverage, on both clinical high-field (3T) and research ultra-high- field (7T) MR systems. Currently, there are two significant technical challenges for DF-MRSI, namely (a) the lack of pulse sequences to acquire 3D DF-MRSI with optimum sensitivity in the shortest possible scan time, and (b) specific software for the accurate quantification and visualization of the broad and significantly overlapping DF signals. In addition, the clinical and neuroscience applications of DF-MRSI have yet to be explored. To address these issues, I propose to develop optimized 3D DF-MRSI pulse sequences for both 3T and 7T, and also to develop an open- source software package for improved quantification, analysis, and visualization of DF resonances. DF spectra contain signals from both exchangeable and non-exchangeable protons, and the information content of DF- MRSI may therefore be complementary to chemical exchange saturation transfer (CEST) MRI. In particular, amide-proton transfer (APT) CEST has proven quite successful for the evaluation of human brain tumors; in the R00 phase of this proposal, after establishing normative values and reproducibility, a comparison of the value of 3D DF-MRSI vs. APT-CEST in patients with glioma will be performed. In particular, I will focus on the ability to distinguish recurrent tumor from radiation necrosis in patients treated for high grade glioma; this is an important diagnostic question that directly effects choice of treatment, and which is often difficult to answer using conventional MRI. Developing these novel techniques requires substantial expertise both in MRSI sequence development and in data analysis. This proposal builds upon my unique record in biomedical imaging with new training from a mentoring team of globally recognized experts in the fields of MRSI, clinical multimodal spectroscopic imaging, and development of post-processing and analysis software at the Johns Hopkins University with outstanding career development resources to successfully train me during this Pathway to Independence Award. This project will generate novel tools to study metabolic processes in neurological and neuropathological processes and leverage their potential to advance the understanding of brain tumors, potentially indicating new routes toward improved diagnosis and efficient therapy strategies.

项目摘要 在人脑的质子磁共振光谱（MRS）中，信号同时出现上场（UF）和 水共振的下场（DF）。虽然MRS和MR光谱成像（MRSI）已经 在过去的30年中，在人类中进行了广泛的研究，下场研究很少，所有 他们使用了单个体素空间定位。最近，我们的小组开发了第一个单一切片方法 3T5的Vivo DF-MRSI。随后，我进一步实施了第一个三维（3D）DF-MRSI 临床高场（3T）和研究超高的人类大脑的方法 字段（7T）MR系统。 目前，DF-MRSI面临两个重大的技术挑战，即（a）缺乏脉冲序列 在最短的扫描时间内以最佳灵敏度获取3D DF-MRSI，以及（b）特定软件 宽和显着重叠的DF信号的准确定量和可视化。此外， DF-MRSI的临床和神经科学应用尚未探索。为了解决这些问题，我 建议为3T和7T开发优化的3D DF-MRSI脉冲序列，并开发开放 用于改进DF共振的量化，分析和可视化的源软件包。 DF光谱 包含来自可交换和不可交换质子的信号，以及DF-的信息内容 因此，MRSI可能与化学交换饱和转移（CEST）MRI互补。尤其， 事实证明，在评估人脑肿瘤方面，酰胺 - 普罗顿转移（APT）CEST非常成功。在 该提案的R00阶段在建立规范值和可重复性后，比较 在神经胶质瘤患者中，将进行3D DF-MRSI与APT-CEST的值。特别是，我将专注于 能够区分接受高级神经胶质瘤患者的复发性肿瘤与辐射坏死的能力；这是一个 重要的诊断问题，直接影响治疗的选择，通常很难回答 使用常规MRI。 开发这些新颖的技术需要在MRSI序列开发和 在数据分析中。该提案以我在生物医学成像中的独特记录为基础 MRSI领域的全球认可专家的指导团队，临床多模式光谱成像， 以及约翰霍普金斯大学的后处理和分析软件的开发 职业发展资源在这一获得独立奖的途径中成功训练我。这 项目将生成新的工具来研究神经和神经病理过程中的代谢过程 并利用其潜力来提高对脑肿瘤的理解，可能表明新路线 采取改善诊断和有效的治疗策略。