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Content Provider | IEEE Xplore Digital Library |
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Author | Benkler, S. Kainz, W. Guag, J. Victor, K. Myklebust, J. Isaac, C. Chavannes, N. Jung Hwan Kim Sarntinoranont, M. Kuster, N. |
Copyright Year | 2009 |
Description | Author affiliation: Foundation for Information Technology in Society (IT'IS), Zurich, Switzerland (Chavannes, N.; Kuster, N.) || Center for Devices and Radiological Health, United States Food and Drug Administration, Silver Spring, Maryland, USA (Kainz, W.; Guag, J.; Victor, K.; Myklebust, J.; Isaac, C.) || Soft Tissue Mechanics and Drug Delivery Laboratory, Department of Mechanical and Aerospace, Engineering University of Florida, USA (Jung Hwan Kim; Sarntinoranont, M.) || Schmid & Partner Engineering AG, Zurich, Switzerland (Benkler, S.) |
Abstract | The developed MHD solver is able to calculate the induced current distribution and the equi-potentials in simple geometries. Preliminary validation of the MHD solver shows good agreement with values found in the literature [7] based on computational modeling. The implemented MHD solver is also able to calculate the induced fields in highly accurate models of the human anatomy. We will repeat the simulations in the future with an exact model of the geometry used in [7]. In addition we will perform an experimental validation to compare the MHD solver results with actual measurements. Future simulations will also include the calculation of the MHD signals for all four models of the Virtual Family. We will vary the orientation of the static magnetic field to maximize the MHD signal, and we will determine an optimized location for the measurement of the MHD signal. The optimal location for measuring the MHD signal is a location on the surface of the patient which maximizes the signal strength and optimizes the correlation of the MDH signal to the blood flow by minimizing the influence of the ECG signal. The volunteers based on which the Virtual Family models were developed (two adults and two children) will be used to measure the ECG signal and the combined ECG + MDH signal. The combined ECG + MDH will be measured inside a 3T MR scanner using an MR compatible ECG monitor. We will correlate the computational MHD results with the actual measurement. Based on this information we hope to develop a MHD based biomarker to non-invasively estimate the blood flow for the evaluation of heart failure. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 1014308 |
Page Count | 4 |
File Format | |
ISBN | 9781424436477 |
ISSN | 15223965 |
DOI | 10.1109/APS.2009.5171997 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-06-01 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Blood flow Magnetohydrodynamics Heart Magnetic resonance Electrocardiography Magnetic field measurement Spatial resolution Ultrasonic imaging Magnetic fields Voltage |
Content Type | Text |
Resource Type | Article |
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