Automated Quantitation of Non-Steady Flow and Lumen Area Based on Temporal Correlation

Abstract

A robust method for automated quantitation of nonsteady flow and lumen area is presented. The method utilizes temporal information to differentiate between pixels within the lumen and a background region. Cross correlation (CC) is applied to identify the pixels with temporal information similar to a reference obtained from a pixel within the lumen region. The new method incorporates a computation of an optimal threshold; therefore, it provides an unbiased observer-independent quantitation. We have conducted in vitro and in vivo experiments to evaluate the reproducibility and accuracy of the method.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410357

Entities

People

  • Noam Alperin
  • Sang H. Lee

Organizations

  • University of Illinois at Chicago

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Arteries
  • Blood
  • Blood Vessels
  • Cardiovascular Diseases
  • Flow
  • Flow Rate
  • Jugular Vein
  • Measurement
  • Reproducibility
  • Steady Flow
  • Three Dimensional
  • Veins

Fields of Study

  • Physics

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.