Comparison of the Specificity of MREIT and Dynamic Contrast-Enhanced MRI in Breast Cancer

摘要

It is possible to detect locations of lesions accurately in breast cancer using techniques such as x-ray mammogram accurately; however, the specificity of current techniques is low. Since the conductivity values of malignant, benign, and normal tissues are significantly different, this information can be used in classification. Current conductivity imaging techniques can only provide low-resolution images and fail in extreme cases. Magnetic resonance-electrical impedance tomography (MREIT) is a new modality that can reconstruct high-resolution conductivity images. In this study, we propose the use of MREIT for improving accuracy of breast cancer classification. In this project, MREIT system for 3D data acquisition was implemented. Mesh generation and image reconstruction algorithms in 3D were developed. 3D phantom studies were carried out successfully. Preliminary animal experiments that demonstrate conductivity contrast for R3230 tumor models were carried out. Data acquisition system was generalized for imaging at different field strengths. Preliminary images were acquired using fast imaging sequences that is crucial in in vivo imaging. During this period, PI acquired training in tumor biology and different imaging modalities in tumor imaging.