A Low-Cost, High Quality MRI Breast Scanner Using Prepolarization

Abstract

Magnetic Resonance Imaging (MRI) has been shown to be more sensitive and equally specific when compared to x-ray mammography for detecting breast cancer. MRI is non-invasive, completely non-toxic, and requires no uncomfortable breast compression. But an x-ray mammogram costs about $100 whereas an MRI study costs about $1500. The exam cost is related to the scanner's manufacturing cost (about $400,000) and sale price (about $1 to $3 million). X-ray mammography units cost about one tenth of the cost of an MRI scanner. Our objective is to tailor a new concept in MRI called Prepolarized MR (PMRI) for low-cost MR mammography. PMRI substitutes two inexpensive pulsed magnets for the expensive superconducting magnet. We believe that a high-quality MRI breast scanner using prepolarization could be manufactured for less than $45,000. This project could potentially make MRI as affordable as x-ray mammography. We have made considerable progress this year in realizing a working PMRI scanner. Indeed, we recently obtained our first in vivo human wrist images with our 0.4T prototype scanner. While the image quality of our prototype scanner is not yet of clinical quality, the results are very promising considering the total cost of the magnets was less than $30,000.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2001
Accession Number
ADA405387

Entities

People

  • Albert Macvoski

Organizations

  • Stanford University

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Cartilage
  • Electrical Engineering
  • Electromagnets
  • Engineering
  • Frequency
  • Health Services
  • Linear Programming
  • Magnetic Fields
  • Magnetic Resonance
  • Magnetization
  • Magnets
  • Mammography
  • Manufacturing
  • Medical Personnel
  • Power Supplies
  • X Rays

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Life Cycle Cost Analysis
  • Oncology and Biomarker-Based Cancer Detection.