Measuring Regional Changes in the Diastolic Deformation of the Left Ventricle of SHR Rats Using microPET Technology and Hyperelastic Warping
| Autor: | Arek Sitek, Grant T. Gullberg, Y. Yang, Scott E. Taylor, Alexander I. Veress, Bryan W. Reutter, Ronald H. Huesman, Bing Feng, Jeffrey A. Weiss |
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| Rok vydání: | 2008 |
| Předmět: |
Biomedical Engineering
Diastole Article Ventricular Dysfunction Left Rats Inbred SHR Image Interpretation Computer-Assisted medicine Animals Circumferential strain Computer Simulation Image warping Mathematics Models Cardiovascular Elasticity Rats Data set medicine.anatomical_structure Ventricle Positron-Emission Tomography Subtraction Technique Hyperelastic material Hypertension Anisotropy Elasticity Imaging Techniques Stress Mechanical Fe model Radial stress Algorithms Biotechnology Biomedical engineering |
| Zdroj: | Annals of Biomedical Engineering. 36:1104-1117 |
| ISSN: | 1573-9686 0090-6964 |
| DOI: | 10.1007/s10439-008-9497-9 |
| Popis: | The objective of this research was to assess applicability of a technique known as hyperelastic warping for the measurement of local strains in the left ventricle (LV) directly from microPET image data sets. The technique uses differences in image intensities between template (reference) and target (loaded) image data sets to generate a body force that deforms a finite element (FE) representation of the template so that it registers with the target images. For validation, the template image was defined as the end-systolic microPET image data set from a Wistar Kyoto (WKY) rat. The target image was created by mapping the template image using the deformation results obtained from a FE model of diastolic filling. Regression analysis revealed highly significant correlations between the simulated forward FE solution and image derived warping predictions for fiber stretch (R 2 = 0.96), circumferential strain (R 2 = 0.96), radial strain (R 2 = 0.93), and longitudinal strain (R 2 = 0.76) (p |
| Databáze: | OpenAIRE |
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