Development of Efficient Dynamic Magnetic Resonance Imaging Methods With Application to Breast Cancer Detection and Diagnosis.

Abstract

This fellowship research project focuses on improving the temporal and spatial resolution in dynamic contrast-enhanced magnetic resonance imaging (MRI) of the breast. Dynamic contrast-enhanced MRI has been investigated as a possible means for non- invasive determination of the benign or malignant status of a breast tumor due to the differential rate of enhancement following injection of a contrast agent (1-9). In order to capitalize on the time of greatest differentiation between malignant and benign lesions, a sequence of images of the breast must be acquired during the first 1 or 2 minutes following contrast injection (10,11), leading to a requirement for high temporal resolution. In addition, high spatial resolution in 3 dimensions is imperative to allow the visualization of very small tumors with complete coverage of the breast. High signal-to-noise ratio (SNR) is necessary so that noise does not interfere with the differentiation between the malignant and benign enhancement rates. However, with conventional MRI techniques, since each of the dynamic images is collected independently, the requirements for increasing the temporal and spatial resolutions are conflicting. For example, if N encodings are collected for each image where TR is the time to collect one encoding and Ak is the spatial frequency step between encodings, the spatial resolution will be N1Ak' but the temporal resolution will be limited to NTR which may not be acceptable for large N.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1995
Accession Number
ADA301898

Entities

People

  • Jill M. Hanson

Organizations

  • University of Illinois Urbana–Champaign

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Breast Cancer
  • Change Detection
  • Computer Programming
  • Computer Programs
  • Data Acquisition
  • Data Processing
  • Data Sets
  • Detection
  • Detectors
  • Frequency
  • High Resolution
  • Image Processing
  • Low Resolution
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Signal Processing

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Medical Imaging.
  • Systems Analysis and Design