VCBM 08: Eurographics Workshop on Visual Computing for Biomedicine

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https://diglib.eg.org/handle/10.2312/466

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Browsing VCBM 08: Eurographics Workshop on Visual Computing for Biomedicine by Subject "Categories and Subject Descriptors (according to ACM CCS): J.3 [Life and Medical Sciences]: Health"

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    Computation and Visualization of Asynchronous Behavior of the Heart
    (The Eurographics Association, 2008) Wesarg, Stefan; Lacalli, Christina; Charl Botha and Gordon Kindlmann and Wiro Niessen and Bernhard Preim
    Nowadays, computer-aided diagnosis is widely used in the analysis of cardiac image data. Especially, for the investigation of the dynamic behavior of the heart, automated analysis tools for 4D data sets have been developed. A small set of descriptors of the heart s dynamics are established and used in the clinical routine. However, there exists a whole lot more of such parameters that can be extracted by analyzing 4D data sets. But, many of them are not used due to several reasons: time-consuming computation, no intuitive meaning, little clinical relevance, etc.. In this work we propose a novel descriptor for the dynamic behavior of the heart that can easily be computed from 4D data sets. It describes to which extent the heart exhibits an asynchronous movement. This novel descriptor ASYNCHRONISM is based on the already established measures WALL MOTION and WALL THICKENING, but reveals new, valuable information that is not available when relying only upon the two aforementioned parameters. The ASYNCHRONISM has an intuitive meaning, since it corresponds to the clinical classification scheme of wall motion abnormalities. Beyond its computation we present in this work also methods for its visualization as well as first preliminary results for 4D cardiac magnetic resonance image data.
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    Glyph-Based Visualization of Myocardial Perfusion Data and Enhancement with Contractility and Viability Information
    (The Eurographics Association, 2008) Oeltze, Steffen; Hennemuth, Anja; Glaßer, Sylvia; Kühnel, Caroline; Preim, Bernhard; Charl Botha and Gordon Kindlmann and Wiro Niessen and Bernhard Preim
    Perfusion data characterize the regional blood flow in human tissue. In the diagnosis of the Coronary Heart Disease, they are acquired to detect hypoperfused regions of the myocardium (heart muscle) at an early stage or to evaluate the hemodynamical relevance of a known pathologic vessel narrowing. For each voxel in the data, a time-intensity curve describes the enhancement of a contrast agent. Parameters derived from these curves characterize the regional perfusion and have to be integrated for diagnosis. The diagnostic evaluation of this multi-field data is challenging and time-consuming due to its complexity. We tackle this problem by developing a glyph-based integrated visualization of perfusion parameters in 3D-space with the patient-individual ventricular anatomy as context information. Besides the assessment of myocardial perfusion, current cardiac imaging technology allows for the investigation of myocardial contractility as well as for the detection of non-viable tissue. The combined inspection of these data supports diagnosis finding and therapy planning by allowing for the discrimination of healthy, hypoperfused and non-viable tissue as well as between non-viable and temporarily inactive tissue. To facilitate such an inspection, we apply registration methods that cope with differences in orientation and coverage between these three datasets. We enhance the glyph-based visualization of perfusion parameters by integrating parameters describing the myocardial contractility and viability.