3D Tissue Deformation Research Articles

Backscatter tensor imaging and 3D speckle tracking for simultaneous ex vivo structure and deformation measurement of myocardium.

Biaxial mechanical testing is a common method for elucidation of mechanical properties of excised ventricular myocardium, especially in the context of structural remodeling that accompanies heart disease. Current imaging strategies in biaxial testing are based on optical camera imaging of the tissue surface, thus providing no information about the tissue microstructure and limiting strain measurements to two dimensions. Here, these limitations are overcome by replacing the camera with ultrasound imaging in order to measure both transmural fiber orientation and 3D tissue deformation during biaxial testing. Quasi-static biaxial mechanical testing is applied to four samples of excised porcine ventricular myocardium (two left- and two right-ventricular tissues). During testing, a rotational scan of an ultrasound linear array provides data for both backscatter tensor imaging and 3D speckle tracking, from which transmural fiber orientation and tissue deformation are computed, respectively. Ultrasound-derived fiber orientation and tissue strain are validated against histology and camera surface imaging, respectively. Ultrasound-derived fiber angle and tissue strain exhibit good accuracy, with root-mean-square errors of 9.9° and 1.2% strain, respectively. Further investigation into the optimization of backscatter tensor imaging is warranted. Replacing the rotational scan of a linear array with volume imaging with a matrix array will improve the technique. Ultrasound imaging can replace the optical camera measurement during biaxial mechanical testing of ventricular myocardium in order to accurately provide measurements of transmural fiber orientation and tissue strain. In situ knowledge of transmural fiber structure and tissue deformation can enhance the inverse problem used to determine tissue mechanical properties from biaxial testing.

Intestinal and optic-cup organoids as tools for unveiling mechanics of self-organizing morphogenesis.

Organoid, an organ-like tissue reproduced in a dish, has specialized, functional structures in three-dimensional (3D) space. Organoid development replicates the self-organizing process of each tissue development during embryogenesis but does not necessarily require external tissues, illustrating the autonomy of multicellular systems. Herein, we review the developmental processes of epithelial organoids, namely, the intestine, and optic-cup, with a focus on their mechanical aspects. Recent organoid studies have advanced our understanding of the mechanisms of 3D tissue deformation, including appropriate modes of deformation and factors controlling them. In addition, the autonomous nature of organoid development has also allowed us to access the stepwise mechanisms of deformation as organoids proceed through distinct stages of development. Altogether, we discuss the potential of organoids in unveiling the autonomy of multicellular self-organization from a mechanical point of view. This review article is an extended version of the Japanese article, Mechanics in Self-organizing Organoid Morphogenesis, published in SEIBUTSU BUTSURI Vol. 60, p.31-36 (2020).

Gaining Insight into the Deformation of Achilles Tendon Entheses in Mice

Understanding the biomechanics of tendon entheses is fundamental for surgical repair and tissue engineering but also relevant in biomimetics and paleontology. Examinations into the 3D tissue deformation under load are an important element in this process. However, entheses are difficult objects for microcomputed tomography due to extreme differences in X–ray attenuation. Herein, the ex vivo examination of Achilles tendon entheses from mice using a combination of tensile tests and synchrotron radiation‐based microcomputed tomography is reported. Strains and volume changes are compared between the more proximal free tendon and the distal tendon that wraps around the Tuber calcanei. Tomographic datasets of relaxed and deformed entheses are recorded with propagation‐based phase contrast. The tissue structure is rendered in sufficient detail to enable manual tracking of patterns along the tendon, as well as digital volume correlation in a suitable pair of tomographic datasets. The strains are higher in the distal than in the proximal tendon. These results support the existence of a compliant zone near the insertion. Necessary steps to extend the automatic tracking of tissue displacements to all stages of the deformation experiment are discussed.

Quantitative Analysis of 3D Tissue Deformation Reveals Key Cellular Mechanism Associated with Initial Heart Looping

Despite extensive study, the morphogenetic mechanisms of heart looping remain controversial because of a lack of information concerning precise tissue-level deformation and the quantitative relationship between tissue andcellular dynamics; this lack of information causes difficulties in evaluating previously proposed models. To overcome these limitations, we perform four-dimensional (4D) high-resolution imaging to reconstruct a tissue deformation map, which reveals that, at the tissue scale, initial heart looping is achieved by left-right (LR) asymmetry in the direction of deformation within the myocardial tube. We further identify F-actin-dependent directional cell rearrangement in the right myocardium as a major contributor to LR asymmetric tissue deformation. Our findings demonstrate that heart looping involves dynamic and intrinsic cellular behaviors within the tubular tissue and provide a significantly different viewpoint from current models that are based on LR asymmetry of growth and/or stress at the tube boundaries. Finally, we propose a minimally sufficient model for initial heart looping that is also supported by mechanical simulations.

Real-time Simulation for 3D Tissue Deformation with CUDA Based GPU Computing

The medical training systems based on virtual simulation are highly desired since minimally invasive surgical techniques have become popular to patients. The training system helps surgeon trainees to acquire, practice and evaluate their surgical skills, and the key component of such a system is to simulate the dynamic procedure such as 3D biological tissue deformation in surgical operation. In our paper, an improved mass-spring model is proposed to represent the biological tissue surface, during which the virtual spring is introduced and utilized to help compensate the weakness of the conventional mass-spring model. Then Verlet integration is adopted to calculate the position of mass points during the deformation process without explicit computation of the velocity values. Finally the bilinear interpolation method is employed to generate one smooth mesh to render the deformed tissue surface. To speed up the simulation performance for surgical tissue deformation, CUDA based GPU computing is adopted, while related data structures and algorithm are designed and implemented for the parallel computation. Our method has been tested by experiments and it can generate realistic biological tissue deformation images. Compared with CPU, our approach can be performed in real time. Therefore, the proposed method in our paper is an effective and practical way for tissue deformation of medical training system.