Regularized Reconstruction of Dynamic Contrast-Enhanced MR Images for Evaluation of Breast Lesions

Abstract

The overall goal of this project is to develop, implement, and evaluate methods for improving image quality in dynamic MR imaging. We focus specifically on dynamic contrast-enhanced (DCE) imaging of breast cancer patients. We explore reconstruction methods that use explicit temporal models in object space. Simulation and phantom studies have indicated that our algorithms produce quality reconstructed image sequences that exhibit both high spatial and high temporal resolution.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA514609

Entities

People

  • Kimberly A. Khalsa

Organizations

  • University of Michigan

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Breast Cancer
  • Computations
  • Contrast
  • Department Of Defense
  • Image Reconstruction
  • Imaging Techniques
  • Information Operations
  • Mathematics
  • Neoplasms
  • Sequences
  • Simulations
  • Test And Evaluation

Fields of Study

  • Physics

Readers

  • Nanoscale Plasmonic Nanotechnology
  • Neural Network Machine Learning.

Technology Areas

  • Space