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1.
Med Image Anal ; 13(2): 354-61, 2009 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-18948056

RESUMO

The objective of this study was to validate a deformable image registration technique, termed Hyperelastic Warping, for left ventricular strain measurement during systole using cine-gated, non-tagged MR images with strains measured from tagged MRI. The technique combines deformation from high resolution, non-tagged MR image data with a detailed computational model, including estimated myocardial material properties, fiber direction, and active fiber contraction, to provide a comprehensive description of myocardial contractile function. A normal volunteer (male, age 30) with no history of cardiac pathology was imaged with a 1.5 T Siemens Avanto clinical scanner using a TrueFISP imaging sequence and a 32-channel cardiac coil. 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. The solution may be considered as ten separate warping problems with multiple templates and targets. At each stage, an active contraction was initially applied to a finite element model, and then image-based warping penalty forces were utilized to generate the final registration. Warping results for circumferential strain (R(2)=0.75) and radial strain (R(2)=0.78) were strongly correlated with results obtained from tagged MR images analyzed with a Harmonic Phase (HARP) algorithm. Results for fiber stretch, LV twist, and transmural strain distributions were in good agreement with experimental values in the literature. In conclusion, Hyperelastic Warping provides a unique alternative for quantifying regional LV deformation during systole without the need for tags.


Assuntos
Técnicas de Imagem por Elasticidade/métodos , Ventrículos do Coração/anatomia & histologia , Interpretação de Imagem Assistida por Computador/métodos , Imageamento Tridimensional/métodos , Imageamento por Ressonância Magnética/métodos , Reconhecimento Automatizado de Padrão/métodos , Função Ventricular Esquerda/fisiologia , Adulto , Algoritmos , Simulação por Computador , Módulo de Elasticidade/fisiologia , Humanos , Aumento da Imagem/métodos , Masculino , Modelos Cardiovasculares , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Estresse Mecânico
2.
Ann Biomed Eng ; 35(7): 1175-87, 2007 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-17394084

RESUMO

Ligament function and propensity for injury are directly related to regional stresses and strains. However, noninvasive techniques for measurement of strain are currently limited. This study validated the use of Hyperelastic Warping, a deformable image registration technique, for noninvasive strain measurement in the human medial collateral ligament using direct comparisons with optical measurements. Hyperelastic Warping determines the deformation map that aligns consecutive images of a deforming material, allowing calculation of strain. Diffeomorphic deformations are ensured by representing the deformable image as a hyperelastic material. Ten cadaveric knees were subjected to six loading scenarios each. Tissue deformation was documented with magnetic resonance imaging (MRI) and video-based experimental measurements. MRI datasets were analyzed using Hyperelastic Warping, representing the medial collateral ligament (MCL) with a hexahedral finite element (FE) model projected to a manually segmented ligament surface. The material behavior was transversely isotropic hyperelastic. Warping predictions of fiber stretch were strongly correlated with experimentally measured strains (R (2) = 0.81). Both sets of measurements were in agreement with previous ex vivo studies. Warping predictions of fiber stretch were insensitive to bulk:shear modulus ratio, fiber stiffness, and shear modulus in the range of +2.5SD to -1.0SD. Correlations degraded when the shear modulus was decreased to 2.5SD below the mean (R (2) = 0.56), and when an isotropic constitutive model was substituted for the transversely isotropic model (R (2) = 0.65). MCL strains in the transitional region near the joint line, where the material behavior and material symmetry are more complex, showed the most sensitivity to changes in shear modulus. These results demonstrate that Hyperelastic Warping requires the use of a constitutive model that reflects the material symmetry, but not subject-specific material properties for accurate strain predictions for this application. Hyperelastic Warping represents a powerful technique for noninvasive strain measurement of musculoskeletal tissues and has many advantages over other image-based strain measurement techniques.


Assuntos
Joelho/fisiologia , Ligamentos/fisiologia , Modelos Biológicos , Estresse Mecânico , Adolescente , Adulto , Idoso , Anisotropia , Fenômenos Biomecânicos , Humanos , Imageamento por Ressonância Magnética , Masculino , Pessoa de Meia-Idade
3.
Med Eng Phys ; 27(10): 845-61, 2005 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-16085446

RESUMO

The objective of this paper is to describe strategies for addressing technical aspects of the computational modeling of ligaments with the finite element (FE) method. Strategies for FE modeling of ligament mechanics are described, differentiating between whole-joint models and models of individual ligaments. Common approaches to obtain three-dimensional ligament geometry are reviewed, with an emphasis on techniques that rely on volumetric medical image data. Considerations for the three-dimensional constitutive modeling of ligaments are reviewed in the context of ligament composition and structure. A novel approach to apply in situ strain to FE models of ligaments is described, and test problems are presented that demonstrate the efficacy of the approach. Approaches for the verification and validation of ligament FE models are outlined. The paper concludes with a discussion of future research directions.


Assuntos
Ligamentos/anatomia & histologia , Algoritmos , Fenômenos Biomecânicos , Fenômenos Biofísicos , Biofísica , Simulação por Computador , Elasticidade , Análise de Elementos Finitos , Humanos , Processamento de Imagem Assistida por Computador , Articulação do Joelho , Ligamentos/fisiologia , Ligamentos Articulares , Imageamento por Ressonância Magnética , Modelos Anatômicos , Modelos Biológicos , Modelos Teóricos , Sensibilidade e Especificidade , Software , Estresse Mecânico , Tomografia Computadorizada por Raios X , Suporte de Carga
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