Electrical spectral imaging using magnetic resonance methods

使用磁共振方法进行电光谱成像

基本信息

批准号：
10468820
负责人：
ROSALIND J SADLEIR
金额：
$ 23.57万
依托单位：
ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10468820
关键词：
3-Dimensional Amplifiers Animals Area Biological Biophysics Brain Brain Neoplasms Brain Pathology Brain imaging Caliber Cardiac Cell Culture Techniques Cell Density Cell Shape Cell Size Cells Characteristics Computer Models Contralateral Custom Data Dependence Development Diagnosis Diffusion Disease Electric Conductivity Electric Stimulation Electricity Electrolytes Electroporation Electroporation Therapy Evaluation Frequencies Glioblastoma Glioma Human Image In Vitro Ischemic Stroke Knowledge Letters Magnetic Resonance Magnetic Resonance Imaging Magnetism Malignant Neoplasms Malignant neoplasm of brain Measurable Measurement Measures Mediating Membrane Methods Mitotic Modeling Monitor Pathologic Phase Procedures Process Property Rattus Reporting Research Sampling Scanning Sensitivity and Specificity Short Interspersed Nucleotide Elements Signal Transduction Source Spectrum Analysis Stains Techniques Testing Time Tissues Treatment Efficacy Tumor Tissue Validation Variant Vascularization Work analog base cancer cell cancer diagnosis cancer imaging cancer therapy contrast enhanced density design and construction diagnostic tool digital electric impedance electrical impedance tomography electrical property high resolution imaging human subject imaging modality imaging properties improved in vivo innovation interest neoplastic cell neuroregulation non-invasive imaging noninvasive diagnosis novel programs prospective reconstruction response simulation spectrograph tissue phantom tool treatment planning tumor unilamellar vesicle vector

项目摘要

The low-frequency electrical properties of biological tissue provide sensitive and valuable indications of cell density, membrane properties, electrolyte concentrations and mobilities and the presence or absence of disease, particularly at frequencies between 1 kHz and 1 MHz. Measurements of variations in these properties between these frequencies provide a unique view of tissue state. Imaging of electrical properties, combined with electrical spectroscopy, would allow subtle examination of both spatial and time-dependent tissue characteristics that are important in the diagnosis and therapy of brain cancers. Unfortunately, relatively few reports of tissue electrical properties are in this frequency range, because they involve invasive and often error-prone procedures. Several Magnetic Resonance Imaging (MRI)-based, non-invasive methods of imaging electrical property distributions have recently been developed. However, these methods can only be used at high frequencies (>100 MHz) or very low frequencies (<100 Hz). For example, the technique of Diffusion Tensor Magnetic Resonance Electrical Impedance Tomography (DT-MREIT) combines MR diffusion tensor and MR phase images to produce reconstruction of full anisotropic conductivity tensor images at very low frequencies. However, present DT-MREIT techniques are restricted to measurement frequencies of around 10 Hz. We now propose transforming MREIT methods to capture spectral effects over the frequency range from 10 Hz to 500 kHz. The new technique, multifrequency MREIT (MF-MREIT) will be validated using computational models, cell and tissue phantoms and in-vivo using a rat model of brain cancer. The specific focus of the project will be measuring and characterizing low-frequency electrical properties of cancer cell cultures and tumors grown from these cells in rat brains. It is anticipated that these measurements will lead to better understanding of tumor properties and aid in planning new electrical therapies that are increasingly being used to successfully treat brain tumors. The technique will have further application in diverse areas, including characterization of tissue responses to tumor treating fields, irreversible electroporation therapy, and measurement of tissue properties for construction of accurate computational models used in planning neuromodulation treatments.

生物组织的低频电特性提供了细胞的敏感且有价值的指示密度、膜特性、电解质浓度和迁移率以及是否存在疾病，特别是在 1 kHz 和 1 MHz 之间的频率。这些特性变化的测量这些频率之间提供了组织状态的独特视图。电气特性成像，组合通过电光谱技术，可以对空间和时间相关的组织进行精细检查对脑癌的诊断和治疗很重要的特征。不幸的是，相对较少组织电特性的报告都在这个频率范围内，因为它们涉及侵入性且经常容易出错的程序。几种基于磁共振成像 (MRI) 的非侵入性电特性成像方法最近开发了发行版。然而这些方法只能在高频下使用 (>100 MHz) 或极低频率 (<100 Hz)。例如，扩散张量磁技术共振电阻抗断层扫描 (DT-MREIT) 结合了 MR 扩散张量和 MR 相位图像以重建非常低频率下的完整各向异性电导率张量图像。然而，目前的 DT-MREIT 技术仅限于 10 Hz 左右的测量频率。我们现在建议转变 MREIT 方法以捕获 10 频率范围内的频谱效应赫兹至 500 赫兹。新技术多频 MREIT (MF-MREIT) 将通过计算进行验证模型、细胞和组织模型以及使用脑癌大鼠模型的体内模型。具体重点是该项目将测量和表征癌细胞培养物的低频电特性，老鼠大脑中的这些细胞生长出肿瘤。预计这些测量将带来更好的结果了解肿瘤特性并帮助规划越来越多地使用的新电疗法成功治疗脑肿瘤。该技术将在不同领域得到进一步应用，包括组织对肿瘤治疗场、不可逆电穿孔疗法的反应特征，以及测量组织特性以构建规划中使用的精确计算模型神经调节治疗。