Frontiers Abstracts

Combining Imaging Modalities in the Modeling of Multiparameter Devices

[+] Author and Article Information
Jens Vinge Nygaard

Department of Engineering,
Aarhus University,

Manuscript received October 4, 2013; final manuscript received October 17, 2013; published online December 5, 2013. Assoc. Editor: Bo Gao.

J. Med. Devices 7(4), 040928 (Dec 05, 2013) (1 page) Paper No: MED-13-1251; doi: 10.1115/1.4025846 History: Received October 04, 2013; Revised October 17, 2013

Modeling and simulation of medical devices are typically established to identify parameter dependencies within the system of interest. Most devices are multiphysics problems considering solid and fluid mechanics, and electromagnetic mechanisms bridging time and length scales. Typically, the geometries of interest are described by complex morphologies of biological components. These factors all contribute to significant complexity of the developed numerical models. Access to imaging modalities capable of providing the geometrical information of relevance is central in the establishment and verification of numerical analysis. Here, data from image-based models obtained with MRI and μCT to risk access patients prone to realizing stroke, and to evaluate drug eluding scaffolds is presented.

Copyright © 2013 by ASME
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Kock, S. A., Nygaard, J. V., Eldrup, N., Fründ, E.-T., Klærke, A., Paaske, W. P., Falk, E., and Kim, W. Y., 2008, “Mechanical Stresses in Carotid Plaques Uusing MRI-Based Fluid-Structure Interaction Models,” J. Biomech., 41(8), 1651–1658. [CrossRef] [PubMed]
Thrysoe, S. A., Oikawa, M., Yuan, C., Eldrup, N., Klærke, A., Paaske, W. P., Falk, E., Kim, W. Y., and Nygaard, J. V., 2010, “Longitudinal Distribution of Mechanical Stresses in Carotid Plaques of Symptomatic Patients,” Stroke, 41, 1041–1043. [CrossRef] [PubMed]
Thrysøe, S. A., Stegmann, A. F., Eldrup, N., Klærke, A., Paaske, W., Kim, W. Y., and Nygaard, J. V., 2012, “The Effect of Carotid Plaque Morphology on Longitudinal Fibrous Cap Stress Levels,” World J. Mech., 2, 216–223. [CrossRef]
Andersen, M. Ø., Nygaard, J. V., Burns, J. S., Raarup, M. K., Nyengaard, J. R., Bünger, C., Besenbacher, F., Howard, K. A., Kassem, M., and Kjems, J., 2010, “siRNA Nanoparticle Functionalization of Nanostructured Scaffolds Enables Controlled Multilineage Differentiation of Stem Cells,” Molecular Therapy: J. Ame. Soc. Gene Therapy, 18(11), pp. 2018–2027. [CrossRef]
Nygaard, J. V., Andersen, M. Ø., Howard, K. A., Foss, M., Bünger, C., Kjems, J., and Besenbacher, F., 2008, “Investigation of Particle-Functionalized Tissue Engineering Scaffolds Using X-Ray Tomographic Microscopy,” Biotechnology and Bioengineering, 100(4), 820–829. [CrossRef] [PubMed]
Wittenborn, T., Nielsen, T., Nygaard, J. V., Larsen, E. K. U., Thim, T., Rydtoft, L. M., Vorup-Jensen, T., Kjems, J., Nielsen, N. C., Horsman, M. R., and Falk, E., 2012, “Ultrahigh-Field DCE-MRI of Angiogenesis in a Novel Angiogenesis Mouse Model,” J. Magnetic Resonance Imaging, 35(3), pp. 703–710. [CrossRef]


Grahic Jump Location
Fig. 1

Left, example of the stress and flow fields used in plaque risk assessment based on MRI. Right, subvolume of a scaffold composite from μCT reconstruction that illustrates the depth of embedded particles.




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