Measuring Regional Changes in the Diastolic Deformation of the Left Ventricle of SHR Rats Using microPET Technology and Hyperelastic Warping

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...

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Bibliographic Details
Published in:Annals of biomedical engineering 2008-07, Vol.36 (7), p.1104-1117
Main Authors: Veress, Alexander I., Weiss, Jeffrey A., Huesman, Ronald H., Reutter, Bryan W., Taylor, Scott E., Sitek, Arek, Feng, Bing, Yang, Yongfeng, Gullberg, Grant T.
Format: Article
Language:English
Subjects:
42
60
62
99
Algorithms
Animals
Anisotropy
Biochemistry
Biological and Medical Physics
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Biotechnology - methods
Classical Mechanics
Computer Simulation
DEFORMATION
Diastole - physiology
Elasticity
Elasticity Imaging Techniques - methods
FIBERS
Hypertension - complications
Hypertension - diagnostic imaging
Hypertension - physiopathology
Hypertension, Deformation, microPET, Metabolism, Diastole, SHR model, Hypertrophy, Mechanics, Heart model
Image Interpretation, Computer-Assisted - methods
Models, Cardiovascular
Positron-Emission Tomography - methods
Rats
Rats, Inbred SHR
REGIONAL ANALYSIS
REGRESSION ANALYSIS
STRAINS
Stress, Mechanical
Subtraction Technique
TARGETS
VALIDATION
Ventricular Dysfunction, Left - diagnostic imaging
Ventricular Dysfunction, Left - etiology
Ventricular Dysfunction, Left - physiopathology
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Summary: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  
ISSN:0090-6964
1573-9686
1521-6047
DOI:10.1007/s10439-008-9497-9