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波谱（MRS）中，信号在高场（UF）和低场（HF）两者中产生。 低场（DF）从水共振。虽然UF MRS和MR波谱成像（MRSI）已经被广泛应用于临床， 在过去的30年里，在人类身上进行了广泛的研究，很少有深入的研究，所有的研究都是在 他们使用了单体素空间定位。最近，我们的小组开发了第一个单切片方法， 3 T5时的体内DF-MRSI。随后，我进一步实现了第一个三维（3D）DF-MRSI 在临床高场（3 T）和研究超高场（3 T）上， 场（7 T）MR系统。 目前，DF-MRSI存在两个显著的技术挑战，即（a）缺乏脉冲序列 在尽可能短的扫描时间内以最佳灵敏度采集3D DF-MRSI，以及（B）用于 广泛且明显重叠的DF信号的准确量化和可视化。此外，本发明还提供了一种方法， DF-MRSI的临床和神经科学应用还有待探索。为了解决这些问题，我 建议为3 T和7 T开发优化的3D DF-MRSI脉冲序列，并开发开放式 源软件包，用于改进DF共振的量化、分析和可视化。DF光谱 包含来自可交换和不可交换质子的信号，以及DF-1的信息内容。 因此，MRSI可能是化学交换饱和转移（CEST）MRI的补充。特别是， 酰胺质子转移（APT）CEST已被证明在评估人脑肿瘤方面相当成功; 本提案的R 00阶段，在建立规范值和再现性后， 将进行3D DF-MRSI与APT-CEST在胶质瘤患者中的价值。特别是，我将集中讨论 区分高级别胶质瘤患者复发肿瘤和放射性坏死的能力;这是一个 直接影响治疗选择的重要诊断问题，通常难以回答 使用常规MRI。 开发这些新技术需要在MRSI序列开发方面的大量专业知识， 在数据分析中。这项建议建立在我在生物医学成像方面的独特记录基础上， 由MRSI、临床多模式光谱成像、 在约翰霍普金斯大学开发后处理和分析软件， 职业发展资源，成功地训练我在这个途径独立奖。这 该项目将产生新的工具来研究神经和神经病理过程中的代谢过程 并利用它们的潜力来促进对脑肿瘤的理解， 改进诊断和有效治疗策略。