Evaluation of artery visualizations for heart disease diagnosis

Michelle A Borkin1, Krzysztof Z Gajos, Amanda Peters

  • 1School of Engineering & Applied Sciences, Harvard University, USA. borkin@seas.harvard.edu

Insights

This study introduces HemoVis, a new tool for diagnosing heart disease using 2D visualizations of endothelial shear stress (ESS). Results show 2D artery models improve diagnostic accuracy and efficiency compared to 3D, aiding early detection.

Area of Science:

  • Cardiovascular Medicine
  • Medical Imaging
  • Data Visualization

Background:

  • Heart disease is a leading cause of death, necessitating early diagnostic indicators.
  • Endothelial shear stress (ESS) is a critical factor in coronary artery disease progression.
  • Effective non-invasive visualization of ESS is vital for cardiologists.

Purpose of the Study:

  • To evaluate visualization techniques for diagnosing coronary artery disease.
  • To develop and assess an interactive application (HemoVis) for ESS data visualization.
  • To compare 2D and 3D representations of coronary arteries and color map effectiveness.

Main Methods:

  • Formative user study with domain experts to create a task taxonomy for hemodynamics.
  • Development of HemoVis, an application featuring a novel 2D tree diagram for coronary artery visualization.
  • Formal quantitative user study comparing 2D vs. 3D artery representations and color maps for ESS analysis.

Main Results:

  • Statistically significant improvements in accuracy and efficiency with 2D artery visualizations over 3D.
  • A perceptually appropriate color map reduced diagnostic errors compared to a rainbow color map.
  • HemoVis demonstrated effectiveness in identifying regions of low ESS.

Conclusions:

  • Novel 2D tree diagram visualizations enhance the accuracy and efficiency of coronary artery disease diagnosis.
  • Perceptually optimized color maps are crucial for reducing diagnostic errors in ESS analysis.
  • HemoVis provides a valuable tool for non-invasive, early detection of heart disease indicators.

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