IN-VIVO CONDUCTIVITY IMAGING OF TUMORS WITH MREIT

使用 MREIT 对肿瘤进行体内电导率成像

• 批准号: 7368013
• 负责人: L. Tugan MUFTULER
• 金额: $ 27.91万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-06 至 2010-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7368013
• 关键词: Accounting; Animal Model; Animals; Benign; Biopsy; Breast; Breast Cancer Detection; Computer software; Contracts; Detection; Diagnosis; Diagnostic; Diffusion; Diffusion Magnetic Resonance Imaging; Electric Conductivity; Elements; Equation; Frequencies; Goals; Image; Imaging Phantoms; Imaging Techniques; Ions; Lead; Magnetic Resonance; Magnetic Resonance Imaging; Malignant - descriptor; Mammary Gland Parenchyma; Mammography; Mediating; Methods; Modality; Modeling; Patients; Physiologic pulse; Property; Pulse taking; Range; Rate; Rattus; Reporting; Research Personnel; Resolution; Roentgen Rays; Sensitivity and Specificity; Slice; Sodium; Specificity; Standards of Weights and Measures; Structure; System; Techniques; Testing; Tissues; base; cancer diagnosis; electric impedance; electrical property; extracellular; image reconstruction; improved; in vivo; ion mobility; magnetic field; malignant breast neoplasm; neoplastic; programs; reconstruction; research study; sodium ion; three-dimensional modeling; tomography; tumor

DESCRIPTION (provided by applicant): X-ray mammography is the currently accepted standard for screening breast cancer. However, several other techniques have been developed as an adjunct to X-ray mammography to increase the sensitivity and specificity of the diagnosis. X-ray mammography provides high sensitivity but has a high rate of false-positives. Similarly/the sensitivity of breast MRI has been very high, but the specificity for the detection of abnormalities is variable. Besides the high rate of false positives, some of those techniques also fail to detect the breast cancer in certain cases, such as patients with dense breast tissue, which is common among younger patients. New imaging modalities that offer better specificity may have the potential to reduce the rate of false positives hence eliminate unnecessary biopsies. Several researchers have demonstrated that the electrical properties, specifically the impedance of malignant tissues is significantly different from those of normal and benign tissues. This property has been investigated using various impedance imaging systems. Magnetic Resonance Electrical Impedance Tomography (MREIT) is a new technique to obtain in vivo tissue conductivity images. Objective/Hypothesis: The following two hypotheses will be investigated in this project: 1) Spatial resolution of MREIT will be improved by using a priori information from high resolution MRI. 2) Increase in electrical conductivity in tumors is associated with increased extracellular volume and sodium ion content. Therefore, conductivity images obtained by MREIT method should be highly correlated with sodium-23 and diffusion tensor images obtained with MRI. Specific Aims: 1) Develop and optimize 3D MREIT acquisition and image reconstruction: a) 3D MREIT acquisition; b) 3D FEM analysis; c) Iterative reconstruction to solve the nonlinear equation set; d) Improving MREIT resolution using high-resolution MRI images. 2) Characterization of spatial resolution and contrast of MREIT: Phantom experiments will be carried out to investigate resolution and contrast of MREIT. 3) Sodium and diffusion imaging: Sodium-23 and diffusion tensor images will be collected to investigate ion concentration and mobility and how they relate to conductivity. 4) In vivo imaging of tumors: MREIT, sodium and diffusion tensor imaging will be performed together with Contrast Enhanced-MRI to investigate the potential of these imaging techniques in cancer diagnosis. The MRI based impedance imaging method that we recently developed will be improved using 3D models. Phantom studies will be carried out to investigate image quality including spatial resolution and contrast. Sodium-23 imaging sequence and hardware will be developed and diffusion tensor imaging will be implemented at 4T to investigate ion concentration and mobility. Then, these imaging techniques will be tested on the same group of rats bearing malignant or benign tumors. Dynamic contract enhanced MRI will also be performed on the same animals to investigate tumor structure and how MREIT, sodium and diffusion images correlate with each other. Potential relationships and their complementary usage will be studied to improve quality and possible diagnostic efficacy of MREIT.

描述(由申请人提供)： X光乳房X光摄影是目前公认的筛查乳腺癌的标准。然而，已经开发了其他几种技术作为X光乳房摄影的辅助手段，以提高诊断的敏感性和特异性。X光乳房X光检查灵敏度高，但假阳性率高。同样，乳腺MRI的敏感性非常高，但检测异常的特异度是不同的。除了高假阳性率外，其中一些技术在某些情况下也无法检测出乳腺癌，例如乳房组织致密的患者，这在年轻患者中很常见。提供更好特异性的新的成像方式可能有可能降低假阳性率，从而消除不必要的活检。一些研究人员已经证明，恶性组织的电学性质，特别是阻抗，与正常组织和良性组织有很大的不同。利用各种阻抗成像系统研究了这一特性。磁共振电阻抗断层成像(MREIT)是一种获得活体组织电导图像的新技术。 目标/假设：本项目将研究以下两个假设： 1)利用高分辨率MRI的先验信息，可以提高mREIT的空间分辨率。 2)肿瘤的电导率增加与细胞外体积和钠离子含量增加有关。因此，mREIT方法获得的电导率图像应与MRI获得的Na-23和扩散张量图像高度相关。 具体目标： 1)开发和优化3DmREIT采集和图像重建：a)3DmREIT采集；b)3D有限元分析；c)迭代重建以求解非线性方程组；d)利用高分辨率MRI图像提高mREIT分辨率。 2)mREIT的空间分辨率和对比度的表征：通过体模实验研究mREIT的分辨率和对比度。 3)钠和扩散成像：将收集钠-23和扩散张量图像，以研究离子浓度和迁移率及其与电导率的关系。 4)肿瘤的活体成像：mREIT、钠和弥散张量成像将与增强MRI一起进行，以探讨这些成像技术在癌症诊断中的潜力。 我们最近开发的基于MRI的阻抗成像方法将使用3D模型进行改进。将进行体模研究，以调查图像质量，包括空间分辨率和对比度。将开发钠-23成像序列和硬件，并将在4T进行扩散张量成像，以研究离子浓度和迁移率。然后，这些成像技术将在同一组携带恶性肿瘤或良性肿瘤的大鼠身上进行测试。动态收缩增强磁共振成像也将在相同的动物身上进行，以研究肿瘤结构以及mREIT、钠和扩散图像如何相互关联。将研究潜在的关系及其互补用途，以提高mREIT的质量和可能的诊断效率。

项目成果

MREIT with SENSE acceleration using a dedicated RF coil design.

MREIT 采用专用射频线圈设计，具有 SENSE 加速功能。

• DOI: 10.1088/0967-3334/30/9/004
• 发表时间: 2009
• 期刊: Physiological measurement
• 影响因子: 3.2
• 作者: Muftuler,LTugan;Chen,Gang;Hamamura,MarkJ;Ha,SeungHoon
• 通讯作者: Ha,SeungHoon

Fourier transform magnetic resonance current density imaging (FT-MRCDI) from one component of magnetic flux density.

来自磁通密度的一个分量的傅里叶变换磁共振电流密度成像 (FT-MRCDI)。

• DOI: 10.1088/0031-9155/55/11/013
• 发表时间: 2010
• 期刊: Physics in medicine and biology
• 影响因子: 3.5
• 作者: Ider,YusufZiya;Birgul,Ozlem;Oran,OmerFaruk;Arikan,Orhan;Hamamura,MarkJ;Muftuler,LTugan
• 通讯作者: Muftuler,LTugan