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Updated: May 28, 2026

Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images
Published on: September 22, 2023
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.
Abstract:
Heart disease is the number one killer in the United States, and finding indicators of the disease at an early stage is critical for treatment and prevention. In this paper we evaluate visualization techniques that enable the diagnosis of coronary artery disease. A key physical quantity of medical interest is endothelial shear stress (ESS). Low ESS has been associated with sites of lesion formation and rapid progression of disease in the coronary arteries. Having effective visualizations of a patient's ESS data is vital for the quick and thorough non-invasive evaluation by a cardiologist. We present a task taxonomy for hemodynamics based on a formative user study with domain experts. Based on the results of this study we developed HemoVis, an interactive visualization application for heart disease diagnosis that uses a novel 2D tree diagram representation of coronary artery trees. We present the results of a formal quantitative user study with domain experts that evaluates the effect of 2D versus 3D artery representations and of color maps on identifying regions of low ESS. We show statistically significant results demonstrating that our 2D visualizations are more accurate and efficient than 3D representations, and that a perceptually appropriate color map leads to fewer diagnostic mistakes than a rainbow color map.
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