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In-vivo Strain and Stress Estimation of the Left Ventricle from MRI Images [chapter]

Zhenhua Hu, Dimitris Metaxas, Leon Axel
2002 Lecture Notes in Computer Science  
In this paper, we present a novel statistical model to estimate the invivo material properties and strain and stress distribution in the left ventricle.  ...  Little information is known about in-vivo heart strain and stress distribution.  ...  Acknowledgements This research has been funded by grants from the NIH.  ... 
doi:10.1007/3-540-45786-0_87 fatcat:7yuvbvb6fncgzafffaiikqngoq

In vivo strain and stress estimation of the heart left and right ventricles from MRI images

Zhenhua Hu, Dimitris Metaxas, Leon Axel
2003 Medical Image Analysis  
We composite material model for the stress estimation of the in applied the residual stress at the end of diastole to make vivo left and right ventricles.  ...  Three-dimensional residual strain in midanterior the strain and stress of both cardiac ventricles by using canine left ventricle. Am. J.  ... 
doi:10.1016/s1361-8415(03)00032-x pmid:14561549 fatcat:qnqzurh5yjfmjmr7wll3ui3kzy

Page 204 of None Vol. 58, Issue 2 [page]

2005 None  
Phys Med Biol 45: 1611-1632, 2000 Denney TS Jr, Gerber BL, and Yan L. Unsupervised reconstruction of a three-dimensional left ventricular strain from parallel tagged cardiac images.  ...  In summary, with the use of tagged MRI, MR-DTI, mea- sured LV pressures, and in vivo geometry, experimental vali- dation of FE models of LVA is far superior to anything done before.  ... 

Effects of using the unloaded configuration in predicting the in vivo diastolic properties of the heart

Amir Nikou, Shauna M. Dorsey, Jeremy R. McGarvey, Joseph H. Gorman, Jason A. Burdick, James J. Pilla, Robert C. Gorman, Jonathan F. Wenk
2016 Computer Methods in Biomechanics and Biomedical Engineering  
In the current study, in-vivo measurements were acquired using magnetic resonance images (MRI) and synchronous pressure catheterization in the LV (N=5).  ...  To overcome this, a computational technique was adapted to determine the unloaded configuration of an in-vivo porcine left ventricle (LV).  ...  Gorman), and by a grant from the National Science Foundation CMMI-1538754 (J. Wenk).  ... 
doi:10.1080/10255842.2016.1183122 pmid:27153460 pmcid:PMC5278778 fatcat:k6n3mper4jfqxonlrnbfmfzg24

Estimation of mechanical properties from gated SPECT and cine MRI data using a finite-element mechanical model of the left ventricle

B. Feng, A.I. Veress, A. Sitek, G.T. Gullberg, D.G. Roy
2001 IEEE Transactions on Nuclear Science  
An ellipsoidal and a cylindrical model of the left ventricle were developed under both passive loading and active contraction.  ...  Parameters that describe the material properties of the myocardium were estimated for the cylindrical model by fitting the radial motion described by the model to gated SPECT and cine MRI data.  ...  ACKNOWLEDGMENT The authors would like to thank S. Webb for proofreading the manuscript.  ... 
doi:10.1109/23.940154 fatcat:alidzlzf7zct7jfcktvwhskbti

Left Ventricular Diastolic and Systolic Material Property Estimation from Image Data [chapter]

Adarsh Krishnamurthy, Christopher Villongco, Amanda Beck, Jeffrey Omens, Andrew McCulloch
2015 Lecture Notes in Computer Science  
The resulting end-diastolic and end-systolic geometry from the simulation were compared with measured image data.  ...  In this paper, automated methods were used to determine passive material properties while simultaneously computing the unloaded reference geometry of the ventricles for stress analysis.  ...  Acknowledgments The methods and simulations in this paper were performed using Continuity 6.4b (r8149). We would like to thank Jeff Van Dorn for providing us with technical support for the software.  ... 
doi:10.1007/978-3-319-14678-2_7 pmid:25729778 pmcid:PMC4339056 fatcat:hec7v7kxmzeqhkdcfp23s2xzaq

Material stiffness parameters as potential predictors of presence of left ventricle myocardial infarction: 3D echo-based computational modeling study

Longling Fan, Jing Yao, Chun Yang, Zheyang Wu, Di Xu, Dalin Tang
2016 BioMedical Engineering OnLine  
Ventricle material properties are difficult to obtain under in vivo conditions and are not readily available in the current literature.  ...  A noninvasive echo-based modeling approach and a predictive method were introduced to determine left ventricle material parameters and differentiate patients with recent myocardial infarction (MI) from  ...  Acknowledgements This research was supported in part by NIH-1R01-HL 089269 and in part by National Sciences Foundation of China 81571691, 81271589 and 11171030.  ... 
doi:10.1186/s12938-016-0151-8 pmid:27044441 pmcid:PMC4820947 fatcat:ewflxjmy7fhrzejx2sc6vk7nhy

A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Hearts [article]

Fikunwa Kolawole, Mathias Peirlinck, Tyler E. Cork, Vicky Y. Wang, Seraina A. Dual, Marc E. Levenston, Ellen Kuhl, Daniel B. Ennis
2021 bioRxiv   pre-print
However, in vivo validation of these estimates is exceedingly difficult due to the lack of a known ground-truth in vivo myocardial stiffness.  ...  Ultimately, the setup is designed to enable extensive validation of MRI and FEM-based myocardial stiffness estimation frameworks.  ...  Measuring in vivo passive myocardial stiffness requires a comprehensive evaluation of the mechanical behavior (stress-strain) in diastole.  ... 
doi:10.1101/2021.02.21.432169 fatcat:zzk2ubhhxrcohp6gji5vtbcq2e

Infarcted Left Ventricles Have Stiffer Material Properties and Lower Stiffness Variation: Three-Dimensional Echo-Based Modeling to Quantify In Vivo Ventricle Material Properties

Longling Fan, Jing Yao, Chun Yang, Dalin Tang, Di Xu
2015 Journal of Biomechanical Engineering  
Our results indicated that our modeling approach has the potential to determine in vivo ventricle material properties, which in turn could lead to methods to infer presence of infarct from LV contractibility  ...  Methods to quantify ventricle material properties noninvasively using in vivo data are of great important in clinical applications.  ...  Acknowledgment This research was supported in part by NIH-1R01-HL 089269. Chun Yang's research was supported in part by National Sciences Foundation of China No. 11171030.  ... 
doi:10.1115/1.4030668 pmid:25994130 pmcid:PMC4462863 fatcat:kwrhq7o5srculbvltz2sngoegu

Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration [chapter]

Nikhil S. Phatak, Steve A. Maas, Alexander I. Veress, Nathan A. Pack, Edward V. R. Di Bella, Jeffrey A. Weiss
2007 Lecture Notes in Computer Science  
images with strains measured from tagged MRI.  ...  Both tagged and non-tagged cine MR images were obtained. The Hyperelastic Warping solution was evolved using a series of non-tagged images in ten intermediate phases from end-diastole to end-systole.  ...  Acknowledgements Financial support from NIH #R01-EB000121 and NSF #BES-0134503 is gratefully acknowledged.  ... 
doi:10.1007/978-3-540-72907-5_4 fatcat:pgqhgvtp35gobfzlucsmjhh6hi

Strain measurement in the left ventricle during systole with deformable image registration

Nikhil S. Phatak, Steve A. Maas, Alexander I. Veress, Nathan A. Pack, Edward V.R. Di Bella, Jeffrey A. Weiss
2009 Medical Image Analysis  
images with strains measured from tagged MRI.  ...  Both tagged and non-tagged cine MR images were obtained. The Hyperelastic Warping solution was evolved using a series of non-tagged images in ten intermediate phases from end-diastole to end-systole.  ...  Acknowledgements Financial support from NIH #R01-EB000121 and NSF #BES-0134503 is gratefully acknowledged.  ... 
doi:10.1016/j.media.2008.07.004 pmid:18948056 pmcid:PMC2873141 fatcat:wvepabjg6vci7p5lifurt42al4

Estimating passive mechanical properties in a myocardial infarction using MRI and finite element simulations

Dimitri Mojsejenko, Jeremy R. McGarvey, Shauna M. Dorsey, Joseph H. Gorman, Jason A. Burdick, James J. Pilla, Robert C. Gorman, Jonathan F. Wenk
2014 Biomechanics and Modeling in Mechanobiology  
Specifically, properties will be determined by minimizing the difference between in-vivo strains and volume calculated from MRI and finite element model predicted strains and volume.  ...  Myocardial infarction (MI) triggers a series of maladaptive events that lead to structural and functional changes in the left ventricle.  ...  Acknowledgments This study was supported by National Institutes of Health grants R01 HL063954 (Gorman), R01 HL111090 (Burdick), and T32 HL007954 (Burdick), and by a grant from the American Heart Association  ... 
doi:10.1007/s10237-014-0627-z pmid:25315521 pmcid:PMC4398581 fatcat:qiyppnasoreqhmg7nslygbpqse

A finite strain nonlinear human mitral valve model with fluid-structure interaction

Hao Gao, Xingshuang Ma, Nan Qi, Colin Berry, Boyce E. Griffith, Xiaoyu Luo
2014 International Journal for Numerical Methods in Biomedical Engineering  
Wenk et al. [20] developed an FE model consisting of the left ventricle, mitral apparatus, and chordae tendineae from magnetic resonance (MR) images from a sheep.  ...  Our results show good agreement, in terms of the flow rate and the closing and opening configurations, with measurements from in vivo magnetic resonance images.  ...  M. was sponsored by a Chinese Scholarship Council studentship and fee waiver funding from the University of Glasgow. B. E.  ... 
doi:10.1002/cnm.2691 pmid:25319496 pmcid:PMC4278556 fatcat:thhsq3bmjnetlcupfixghsyy7q

Cardiac Strain Analysis Using Cine Magnetic Resonance Imaging and Computed Tomography

Michinobu Nagao, Yuzo Yamasaki
2018 Cardiovascular Imaging Asia  
Cardiac MRI lacks the disadvantages of acoustic windows and a narrow field of view, with the advantage of measuring right ventricular strain and the geometric difference in left ventricular contraction  ...  Using tagged cine magnetic resonance imaging (MRI) to analyze myocardial strain provides direct information regarding the timing of onset and peak of myocardial contraction and allows for the evaluation  ...  Acknowledgments This work was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI (16K10321). We would like to thank Mr. Yuichiro Sano and Mrs.  ... 
doi:10.22468/cvia.2018.00052 fatcat:oc5xxakgszerrli3vw4lmus2ve

Magnetic resonance imaging assessment of myocardial elastic modulus and viscosity using displacement imaging and phase-contrast velocity mapping

Han Wen, Eric Bennett, Neal Epstein, Jonathan Plehn
2005 Magnetic Resonance in Medicine  
MRI-determined VDTCs were similar in the three regions (VDTC = −1.15 ± 12.37 versus 3.04 ± 7.25 versus 4.17 ± 5.76 ms, P = ns) and did not differ from lateral and septal wall strain gauge assessment (VDTC  ...  in agreement with direct strain gauge measurements (3.78 ± 0.93 and 2.96 ± 0.88 kPa for the lateral wall and the septum, P = ns for both versus MRI).  ...  Hiroshi Ashikaga and Elliot McVeigh of NHLBI/NIH for allowing us to scan their ischemic dog model and providing the Gd-DTPA contrast images.  ... 
doi:10.1002/mrm.20589 pmid:16086299 pmcid:PMC2886520 fatcat:7v5hrh2kv5aujh5aalpno33mhe
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