Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI

Wang, Xiaoxu; Chen, Ting; Zhang, Shaoting; Schaerer, Joël; Qian, Zhen; Huh, Suejung; Metaxas, Dimitris N.; Axel, Leon

doi:10.1016/j.mri.2014.08.007

Cited by 9 publications

(4 citation statements)

References 60 publications

(58 reference statements)

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“…CFs proliferate and express increased levels of α-SMA and MMP2 in vitro after exposure to -approximately physiological -cyclic strains between 5% and 15% (Dalla Costa et al, 2010). In addition, expression of MMPs and α-SMA increases the ability of CFs to migrate through and contract 3D substrates (Wang et al, 2014b). High local strains can also signal transition from inflammation to fibrosis.…”

Section: Cardiac Cell Responses To Mechanical Stressmentioning

confidence: 99%

Mechanobiology of myofibroblast adhesion in fibrotic cardiac disease

Schroer

Merryman

2015

Journal of Cell Science

117

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Fibrotic cardiac disease, a leading cause of death worldwide, manifests as substantial loss of function following maladaptive tissue remodeling. Fibrosis can affect both the heart valves and the myocardium and is characterized by the activation of fibroblasts and accumulation of extracellular matrix. Valvular interstitial cells and cardiac fibroblasts, the cell types responsible for maintenance of cardiac extracellular matrix, are sensitive to changing mechanical environments, and their ability to sense and respond to mechanical forces determines both normal development and the progression of disease. Recent studies have uncovered specific adhesion proteins and mechano-sensitive signaling pathways that contribute to the progression of fibrosis. Integrins form adhesions with the extracellular matrix, and respond to changes in substrate stiffness and extracellular matrix composition. Cadherins mechanically link neighboring cells and are likely to contribute to fibrotic disease propagation. Finally, transition to the active myofibroblast phenotype leads to maladaptive tissue remodeling and enhanced mechanotransductive signaling, forming a positive feedback loop that contributes to heart failure. This Commentary summarizes recent findings on the role of mechanotransduction through integrins and cadherins to perpetuate mechanically induced differentiation and fibrosis in the context of cardiac disease.

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Section: Cardiac Cell Responses To Mechanical Stressmentioning

confidence: 99%

Mechanobiology of myofibroblast adhesion in fibrotic cardiac disease

Schroer

Merryman

2015

Journal of Cell Science

117

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“…A fast motion tracking method based on the meshfree kernel method for tagged MRI-based quantitative cardiac analysis was proposed by Chen et al [178]. Chen and his colleagues also implemented a 3D cardiac motion and strain estimation approach, integrating the robust point matching (RPM) and meshfree deformable models [179][180][181] by using tagged MR images. A similar study involving 3D cardiac motion reconstruction from CT data and tagged MR images has also been performed [182,183].…”

Section: Heart and Cardiovascular Mechanicsmentioning

confidence: 99%

Meshfree and Particle Methods in Biomechanics: Prospects and Challenges

Zhang

Ademiloye

Liew

2018

Arch Computat Methods Eng

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The use of meshfree and particle methods in the field of bioengineering and biomechanics has significantly increased. This may be attributed to their unique abilities to overcome most of the inherent limitations of mesh-based methods in dealing with problems involving large deformation and complex geometry that are common in bioengineering and computational biomechanics in particular. This review article is intended to identify, highlight and summarize research works on topics that are of substantial interest in the field of computational biomechanics in which meshfree or particle methods have been employed for analysis, simulation or/and modeling of biological systems such as soft matters, cells, biological soft and hard tissues and organs. We also anticipate that this review will serve as a useful resource and guide to researchers who intend to extend their work into these research areas. This review article includes 333 references. Highlights  We present an up to date review of meshfree and particle methods, including their advantages and limitations.  We comprehensively discuss past and recent applications of meshfree and particle methods in bioengineering and biomechanics.  We identify research areas, directions, and opportunities for the application of meshfree and particle methods in bioengineering and biomechanics.

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“…Haber et al 39 extended parametric functions to recover the right-ventricle (RV) motion, and Park et al 40 , 41 used deformable models for RV-LV modeling and conducting 4D cardiac functional analysis via finite element modeling (FEM). More recently, Wang et al 42 introduced meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI.…”

Section: Introductionmentioning

confidence: 99%

Deformable cardiac surface tracking by adaptive estimation algorithms

Tuna

Franson

Seiberlich

et al. 2023

Sci Rep

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This study presents a particle filter based framework to track cardiac surface from a time sequence of single magnetic resonance imaging (MRI) slices with the future goal of utilizing the presented framework for interventional cardiovascular magnetic resonance procedures, which rely on the accurate and online tracking of the cardiac surface from MRI data. The framework exploits a low-order parametric deformable model of the cardiac surface. A stochastic dynamic system represents the cardiac surface motion. Deformable models are employed to introduce shape prior to control the degree of the deformations. Adaptive filters are used to model complex cardiac motion in the dynamic model of the system. Particle filters are utilized to recursively estimate the current state of the system over time. The proposed method is applied to recover biventricular deformations and validated with a numerical phantom and multiple real cardiac MRI datasets. The algorithm is evaluated with multiple experiments using fixed and varying image slice planes at each time step. For the real cardiac MRI datasets, the average root-mean-square tracking errors of 2.61 mm and 3.42 mm are reported respectively for the fixed and varying image slice planes. This work serves as a proof-of-concept study for modeling and tracking the cardiac surface deformations via a low-order probabilistic model with the future goal of utilizing this method for the targeted interventional cardiac procedures under MR image guidance. For the real cardiac MRI datasets, the presented method was able to track the points-of-interests located on different sections of the cardiac surface within a precision of 3 pixels. The analyses show that the use of deformable cardiac surface tracking algorithm can pave the way for performing precise targeted intracardiac ablation procedures under MRI guidance. The main contributions of this work are twofold. First, it presents a framework for the tracking of whole cardiac surface from a time sequence of single image slices. Second, it employs adaptive filters to incorporate motion information in the tracking of nonrigid cardiac surface motion for temporal coherence.

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Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI

Cited by 9 publications

References 60 publications

Mechanobiology of myofibroblast adhesion in fibrotic cardiac disease

Mechanobiology of myofibroblast adhesion in fibrotic cardiac disease

Meshfree and Particle Methods in Biomechanics: Prospects and Challenges

Deformable cardiac surface tracking by adaptive estimation algorithms

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