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

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2007
Accession Number
ADA471382

Entities

People

  • Ozlem Birgul

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Algorithms
  • Breast Cancer
  • Cancer
  • Computational Fluid Dynamics
  • Computational Science
  • Data Acquisition
  • Diagnostic Imaging
  • Electrical Impedance
  • Electrical Properties
  • High Resolution
  • Image Reconstruction
  • Imaging Techniques
  • Magnetic Resonance
  • Medical Personnel
  • Tomography
  • Two Dimensional
  • Voltage

Fields of Study

  • Physics

Readers

  • Medical Imaging.