Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Challenges in Visual Data Analysis
IV '06 Proceedings of the conference on Information Visualization
Zooming versus multiple window interfaces: Cognitive costs of visual comparisons
ACM Transactions on Computer-Human Interaction (TOCHI)
Process and Pitfalls in Writing Information Visualization Research Papers
Information Visualization
Left Ventricle Segmentation from Heart MDCT
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
IV '10 Proceedings of the 2010 14th International Conference Information Visualisation
Technical Section: Using color in visualization: A survey
Computers and Graphics
Monitoring treatment outcome: a visualization prototype for left ventricular transformation
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
Myocardial Perfusion Analysis from adenosine-induced stress MDCT
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Evaluation of Artery Visualizations for Heart Disease Diagnosis
IEEE Transactions on Visualization and Computer Graphics
The impact of dimensionality and color coding of information visualizations on knowledge acquisition
Knowledge and Information Visualization
| Hi-index | 0.00 |
Coronary CT angiography is widely used in clinical practice for the assessment of coronary artery disease. Several studies have shown that the same exam can also be used to assess left ventricle (LV) function. Even though coronary CT angiography provides data concerning multiple cardiac phases, along the cardiac cycle, LV function is usually evaluated using just the end-systolic and end-diastolic phases. This unused wealth of data, mostly due to its complexity and the lack of proper tools, has still to be explored to assess if further insight is possible regarding regional LV functional analysis. Furthermore, different parameters can be computed to characterize LV function and though some are well known by clinicians others still need to be tested concerning their value in clinical scenarios. Based on these premises, we present several parameters characterizing global and regional LV function, computed for several cardiac phases over one cardiac cycle. The data provided by the computed parameters is shown using a set of visualizations allowing synchronized visual exploration of the different data. The main purpose is to provide means for clinicians to explore the data and gather insight over their meaning and their correlation with each other and with diagnosis outcomes. © 2012 Wiley Periodicals, Inc.