Tactile Mapping of Breast Palpation for Diagnosis, Documentation and Training

Abstract

Effective computational tools are developed for improved detection, diagnosis, and monitoring of breast cancer. A tactile mapping device (TMD) is tested for the early detection of breast cancer through more objective and quantitative breast palpation. Following the detection of breast cancer, diagnosis of the breast is the next step. We introduce a hybrid source decomposition algorithm, which allows for a computational characterization of tumor microvascular heterogeneity in both spatial and temporal domains. The goal is to reveal temporal-spatial patterns for the visualization and quantification of tumor-induced angiogenesis and response to therapy using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). An image-based change detection approach is proposed to assess tumor's response to therapy. Based on promising experimental results, we anticipate that functional imaging based computational characterization of tumor heterogeneity and response will be useful in a wide variety of medical imaging studies.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA421296

Entities

People

  • Rujirutana A. Srikanchana

Organizations

  • The Catholic University of America

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Blood
  • Blood Volume
  • Breast Cancer
  • Data Analysis
  • Detection
  • Diagnostic Imaging
  • Diseases And Disorders
  • Electrical Engineering
  • Image Processing
  • Imaging Techniques
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Measurement
  • Neoplasms
  • Signal Processing
  • Visualizations

Readers

  • Distributed Systems and Data Platform Development
  • Medical Imaging.