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

Abstract

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 (R2 = 0.96), circumferential strain (R2 = 0.96), radial strain (R2 = 0.93), and longitudinal strain (R2 = 0.76) (p<0.001for all cases). The technology was applied to microPET image data of two spontaneously hypertensive rats (SHR) and a WKY control. Regional analysis revealed that, the lateral freewall in the SHR subjects showed the greatest deformation compared with the other wall segments. This work indicates that warpingmore » can accurately predict the strain distributions during diastole from the analysis of microPET data sets.« less

Authors:
; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Life Sciences Division
OSTI Identifier:
934698
Report Number(s):
LBNL-595E
Journal ID: ISSN 0090-6964; ABMECF; TRN: US0803832
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Journal Article
Journal Name:
Annals of Biomedical Engineering
Additional Journal Information:
Journal Volume: 36; Journal Issue: 7; Related Information: Journal Publication Date: July 2008; Journal ID: ISSN 0090-6964
Country of Publication:
United States
Language:
English
Subject:
60; 42; 99; 62; DEFORMATION; FIBERS; REGIONAL ANALYSIS; REGRESSION ANALYSIS; STRAINS; TARGETS; VALIDATION; Hypertension, Deformation, microPET, Metabolism, Diastole, SHR model, Hypertrophy, Mechanics, Heart model

Citation Formats

Gullberg, Grant T, VERESS, ALEXANDER I, WEISS, JEFFREY A, HUESMAN, RONALD H, REUTTER, BRYAN W, TAYLOR, SCOTT E, SITEK, AREK, FENG, BING, YANG, YONGFENG, and GULLBERG, GRANT T. Measuring Regional Changes in the Diastolic Deformation of the Left Ventricle of SHR Rats Using microPET Technology and Hyperelastic Warping. United States: N. p., 2008. Web.
Gullberg, Grant T, VERESS, ALEXANDER I, WEISS, JEFFREY A, HUESMAN, RONALD H, REUTTER, BRYAN W, TAYLOR, SCOTT E, SITEK, AREK, FENG, BING, YANG, YONGFENG, & GULLBERG, GRANT T. Measuring Regional Changes in the Diastolic Deformation of the Left Ventricle of SHR Rats Using microPET Technology and Hyperelastic Warping. United States.
Gullberg, Grant T, VERESS, ALEXANDER I, WEISS, JEFFREY A, HUESMAN, RONALD H, REUTTER, BRYAN W, TAYLOR, SCOTT E, SITEK, AREK, FENG, BING, YANG, YONGFENG, and GULLBERG, GRANT T. 2008. "Measuring Regional Changes in the Diastolic Deformation of the Left Ventricle of SHR Rats Using microPET Technology and Hyperelastic Warping". United States. https://www.osti.gov/servlets/purl/934698.
@article{osti_934698,
title = {Measuring Regional Changes in the Diastolic Deformation of the Left Ventricle of SHR Rats Using microPET Technology and Hyperelastic Warping},
author = {Gullberg, Grant T and VERESS, ALEXANDER I and WEISS, JEFFREY A and HUESMAN, RONALD H and REUTTER, BRYAN W and TAYLOR, SCOTT E and SITEK, AREK and FENG, BING and YANG, YONGFENG and GULLBERG, GRANT T},
abstractNote = {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 (R2 = 0.96), circumferential strain (R2 = 0.96), radial strain (R2 = 0.93), and longitudinal strain (R2 = 0.76) (p<0.001for all cases). The technology was applied to microPET image data of two spontaneously hypertensive rats (SHR) and a WKY control. Regional analysis revealed that, the lateral freewall in the SHR subjects showed the greatest deformation compared with the other wall segments. This work indicates that warping can accurately predict the strain distributions during diastole from the analysis of microPET data sets.},
doi = {},
url = {https://www.osti.gov/biblio/934698}, journal = {Annals of Biomedical Engineering},
issn = {0090-6964},
number = 7,
volume = 36,
place = {United States},
year = {Fri Apr 04 00:00:00 EDT 2008},
month = {Fri Apr 04 00:00:00 EDT 2008}
}