Image-Based Computational Modeling of the Human Circulatory by Daniel R. Thedens (auth.), Krishnan B. Chandran, H. S.

By Daniel R. Thedens (auth.), Krishnan B. Chandran, H. S. Udaykumar, Joseph M. Reinhardt (eds.)

Image-Based Computational Modeling of the Human Circulatory and Pulmonary platforms presents an summary of the present modeling equipment and functions bettering interventional remedies and computer-aided surgical procedure. an in depth description of the innovations at the back of picture acquisition, processing and three-d reconstruction are incorporated. ideas for the computational simulation of stable and fluid mechanics and constitution interplay also are mentioned, as well as a number of cardiovascular and pulmonary functions. Engineers and researchers concerned with snapshot processing and computational modeling of human organ platforms will locate this a invaluable reference.

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Extra info for Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems: Methods and Applications

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1 Image Acquisition for Cardiovascular and Pulmonary Applications 11 mass measurement, though this entails some assumptions about the geometry of the chamber. Alternatively, two long-axis views can be used with a Simpson’s rule derivation for a more accurate assessment of LV mass and volumes. Calculating dimensions of the left-and right ventricular outflow tracts is also possible from the appropriate long-and short-axis views, respectively. With similar methods, RV volumes and thickness can be measured as well as those of the left atrium.

Thedens to vary the relative weight of each of these parameters in the measured signal. For example, muscle and fat have very different T1 and T2 parameters, and by varying the timing of the applied RF excitation pulses, maximum contrast between the two can be achieved. Other strategies may enhance or suppress flowing blood compared to stationary tissues. 3 Morphology The most basic use of cardiac MRI is to depict the structure or morphology of the heart. Two general classes of imaging techniques are widely used for cardiac imaging, commonly referred to as black-blood and bright-blood techniques.

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