No abstract

Manual quantitative analysis of cardiac left ventricular function using Multislice CT and MR is arduous because of the large data volume. In this paper, we present a 3-D active shape model (ASM) for semiautomatic segmentation of cardiac CT and MR volumes, without the requirement of retraining the underlying statistical shape model. A fuzzy c-means based fuzzy inference system was incorporated into the model. Thus, relative gray-level differences instead of absolute gray values were used for classification of 3-D regions of interest (ROIs), removing the necessity of training different models for different modalities/acquisition protocols. The 3-D ASM was evaluated using 25 CT and 15 MR datasets. Automatically generated contours were compared to expert contours in 100 locations. For CT, 82.4% of epicardial contours and 74.1% of endocardial contours had a maximum error of 5 mm along 95% of the contour arc length. For MR, those numbers were 93.2% (epicardium) and 91.4% (endocardium). Volume regression analysis revealed good linear correlations between manual and semiautomatic volumes, r(2) >/= 0.98. This study shows that the fuzzy inference 3-D ASM is a robust promising instrument for semiautomatic cardiac left ventricle segmentation. Without retraining its statistical shape component, it is applicable to routinely acquired CT and MR studies.

Abstract-Load-bearing soft tissues predominantly consist of collagen and exhibit anisotropic, non-linear visco-elastic behavior, coupled to the organization of the collagen fibers. Mimicking native mechanical behavior forms a major goal in cardiovascular tissue engineering. Engineered tissues often lack properly organized collagen and consequently do not meet in vivo mechanical demands. To improve collagen architecture and mechanical properties, mechanical stimulation of the tissue during in vitro tissue growth is crucial. This study describes the evolution of collagen fiber orientation with culture time in engineered tissue constructs in response to mechanical loading. To achieve this, a novel technique for the quantification of collagen fiber orientation is used, based on 3D vital imaging using multiphoton microscopy combined with image analysis. The engineered tissue constructs consisted of cell-seeded biodegradable rectangular scaffolds, which were either constrained or intermittently strained in longitudinal direction. Collagen fiber orientation analyses revealed that mechanical loading induced collagen alignment. The alignment shifted from oblique at the surface of the construct towards parallel to the straining direction in deeper tissue layers. Most importantly, intermittent straining improved and accelerated the alignment of the collagen fibers, as compared to constraining the constructs. Both the method and the results are relevant to create and monitor loadbearing tissues with an organized anisotropic collagen network.

Skeletal muscle tissue engineering has major promise for regenerative treatment of patients suffering from muscle loss due to, for example, traumatic injury, but faces considerable challenges to progress toward clinical application. In the present study the creation of an aligned prevascularized muscle tissue was addressed. We hypothesized that an aligned vascularized three-dimensional (3D) muscle tissue can be induced in vitro by merely using uniaxial stress. The present study showed that not only do endothelial cells and muscle cells independently align in the direction of uniaxial stress in a hydrogel-based 3D culture system, but also, more importantly, the endothelial cells in the co-cultured 3D constructs organized into vascular structures. Strikingly, in these cultures no additional growth factors were needed to induce vascular formation of the endothelial cells. Vascular endothelial growth factor (VEGF) production by the muscle cells was stimulated by the uniaxial stress that develops in the tissue when constrained in one direction. This stress accompanied by VEGF production appeared to play a key role in the organization of the endothelial cells into vessel-like structures.