DocumentCode :
963642
Title :
Glyph-Based SPECT Visualization for the Diagnosis of Coronary Artery Disease
Author :
Meyer-Spradow, Jennis ; Stegger, Lars ; Doring, C. ; Ropinski, Timo ; Hinrichs, Klaus
Author_Institution :
Visualization & Comput. Graphics Res. Group, Univ. of Munster, Munster
Volume :
14
Issue :
6
fYear :
2008
Firstpage :
1499
Lastpage :
1506
Abstract :
Myocardial perfusion imaging with single photon emission computed tomography (SPECT) is an established method for the detection and evaluation of coronary artery disease (CAD). State-of-the-art SPECT scanners yield a large number of regional parameters of the left-ventricular myocardium (e.g., blood supply at rest and during stress, wall thickness, and wall thickening during heart contraction) that all need to be assessed by the physician. Today, the individual parameters of this multivariate data set are displayed as stacks of 2D slices, bull´s eye plots, or, more recently, surfaces in 3D, which depict the left-ventricular wall. In all these visualizations, the data sets are displayed side-by-side rather than in an integrated manner, such that the multivariate data have to be examined sequentially and need to be fused mentally. This is time consuming and error-prone. In this paper we present an interactive 3D glyph visualization, which enables an effective integrated visualization of the multivariate data. Results from semiotic theory are used to optimize the mapping of different variables to glyph properties. This facilitates an improved perception of important information and thus an accelerated diagnosis. The 3D glyphs are linked to the established 2D views, which permit a more detailed inspection, and to relevant meta-information such as known stenoses of coronary vessels supplying the myocardial region. Our method has demonstrated its potential for clinical routine use in real application scenarios assessed by nuclear physicians.
Keywords :
cardiology; data visualisation; diseases; medical image processing; single photon emission computed tomography; 3D glyph visualization; coronary artery disease; coronary vessels stenoses; glyph-based SPECT visualization; left-ventricular myocardium; multivariate data set; myocardial perfusion imaging; single photon emission computed tomography; Acceleration; Arteries; Blood; Coronary arteriosclerosis; Data visualization; Heart; Myocardium; Positron emission tomography; Single photon emission computed tomography; Stress; Index Terms— Multivariate visualization; SPECT; glyph techniques; myocardial perfusion imaging; Algorithms; Artificial Intelligence; Computer Graphics; Coronary Artery Disease; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Tomography, Emission-Computed, Single-Photon; User-Computer Interface; Ventricular Dysfunction, Left;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2008.136
Filename :
4658168
Link To Document :
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