Introduction to 3d Cardiac

What is/are 3d Cardiac?

3d Cardiac - Graphics processing unit (GPU)-based parallelization efforts to this date have been shown to be more effective than parallelization efforts on the CPU-based clusters in terms of addressing the 3D cardiac simulation time challenge. ^[1] By exploiting TBX18 induced pacemaker cells by somatic gene transfer, 3D cardiac pacemaker spheroids can be tissue‐engineered. ^[2] Here, we report on the development of a 3D cardiac μTissue towards recapitulating the architecture and composition of native myocardium in vitro. ^[3] MSCs could also generate fibroblasts within 3D cardiac microtissues and, subsequently, these fibroblasts were transdifferentiated into myofibroblasts by the exogenous addition of TGF-β1. ^[4] With this study, we evaluated intra-observer variability in semi-automated 3D cardiac volumetric analysis using CCT in patients with LVADs. ^[5] Electrocardiographic imaging (ECGI), computed tomography angiography (CTA), and delayed enhancement cardiac magnetic resonance imaging (DE-CMR) were integrated into a 3D cardiac model (CRT-roadmap) using anatomic landmarks from CTA and DE-CMR. ^[6] In this paper, we propose a novel deep heterogeneous feature aggregation network (HFA-Net) to fully exploit complementary information from multiple views of 3D cardiac data. ^[7] Medical image-based 3D cardiac models have grown rapidly in the last fifteen years due to the advance and consolidation of imaging systems such as magnetic resonance, computed tomography and real-time 3D echocardiography. ^[8] This review summarizes the recent vascularization strategies for engineering 3D cardiac tissues. ^[9] We produced a bioartificial 3D cardiac patch with cardioinductive properties on stem cells. ^[10] To evaluate the test results of our presented algorithm in non-rigid medical image registration, experiments on simulated three-dimension (3D) brain magnetic resonance imaging (MR) images, real 3D thoracic computed tomography (CT) volumes and 3D cardiac CT volumes were carried out on elastix package. ^[11] METHODS/STUDY POPULATION: HiPSC-CMs are cultured and matured as 3D cardiac microtissues (CMTs) on a microtissue array. ^[12] Most conventional 3D cardiac CBCT acquisition techniques attempt to combat heart motion through retrospective gating techniques, whereby acquired projections are sorted into the desired cardiac phase after the completion of the scan. ^[13] Fast and accurate catheter localization in 3D cardiac US can improve the outcome and efficiency of the cardiac interventions. ^[14] By using 3D printed models, cardiologists and surgeons can comprehend the complex 3D cardiac structure and spatial positional relationship preoperatively and perform surgical rehearsal. ^[15] First, we conducted an exhaustive review of the literature associated with the existing 3D cardiac models in order to gain a deep knowledge about their main features and the methods used for their construction, with special focus on those models oriented to simulation of cardiac EP. ^[16] Fluoroscopy provided 3D cardiac and electrode geometries in the tank that were transformed to the 2D optical mapping window using an optimization algorithm. ^[17] As one of the mainstream technical routes in biofabrication, bioassembly has been widely used for generating 3D cardiac microtissues. ^[18] BACKGROUND Catheter navigation and 3D cardiac mapping are essential components of minimally invasive electrophysiological procedures. ^[19] Conclusions We succeeded in engineering spontaneously beating 3D cardiac tissue in vitro using human cardiac cell sheets and a vascular bed derived from porcine small intestine. ^[20] MethodsWe propose a catheter localization method for 3D cardiac ultrasound (US). ^[21] Introduction Understanding of cardiac structure has been improved by 3D cardiac echocardiography. ^[22] We used this biofabrication device to construct 3D cardiac tissue (LbL-3D Heart) using human-induced pluripotent stem cell-derived cardiomyocytes. ^[23] To the best of our knowledge, this is the first work that uses such an approach for 3D cardiac shape prediction. ^[24] Importantly, it was also found that CMs in the 3D microenvironment mature earlier and show an improved communication system, which we suggested to be responsible for a higher structural and functional maturation of 3D cardiac aggregates. ^[25] , due to different breath-hold positions and large slice thickness), which preclude the creation of anatomically meaningful 3D cardiac shapes. ^[26] For the first time, a distinctive beating-force relation for DMD CMs was measured on the 3D cardiac in vitro model. ^[27] We show the effects of a combination of biochemical factors, thyroid hormone, dexamethasone, and insulin-like growth factor-1 (TDI) on the maturation of hiPSC-CMs in 3D cardiac microtissues (CMTs) that recapitulate aspects of the native myocardium. ^[28] In this study, we designed and investigated on a heart-on-a-chip platform that provides online monitoring of contractile behavior of a 3D cardiac tissue construct. ^[29] In this study, we utilize a net mold-based method to create a biomaterial-free 3D cardiac tissue and compare it to current methods using biomaterials. ^[30] Surgical outcomes of study subjects with a 3D cardiac printout available and their paired control subject without a 3D cardiac printout available were compared. ^[31] We exposed 3D cardiac and hepatic microtissues to medium with or without 0. ^[32] Although multidetector row computed tomography is currently the standard imaging modality for such assessment, 3D cardiac magnetic resonance (CMR) is a feasible radiation-free alternative. ^[33] Results From part of the simulation results, the imaged 3D cardiac electrical source provides dynamic information regarding the heart’s electrical activity at any given location within the 3D myocardium. ^[34]

3d cardiac tissue

This review summarizes the recent vascularization strategies for engineering 3D cardiac tissues. ^[1] Conclusions We succeeded in engineering spontaneously beating 3D cardiac tissue in vitro using human cardiac cell sheets and a vascular bed derived from porcine small intestine. ^[2] We used this biofabrication device to construct 3D cardiac tissue (LbL-3D Heart) using human-induced pluripotent stem cell-derived cardiomyocytes. ^[3] In this study, we designed and investigated on a heart-on-a-chip platform that provides online monitoring of contractile behavior of a 3D cardiac tissue construct. ^[4] In this study, we utilize a net mold-based method to create a biomaterial-free 3D cardiac tissue and compare it to current methods using biomaterials. ^[5]

3d cardiac microtissue

MSCs could also generate fibroblasts within 3D cardiac microtissues and, subsequently, these fibroblasts were transdifferentiated into myofibroblasts by the exogenous addition of TGF-β1. ^[1] METHODS/STUDY POPULATION: HiPSC-CMs are cultured and matured as 3D cardiac microtissues (CMTs) on a microtissue array. ^[2] As one of the mainstream technical routes in biofabrication, bioassembly has been widely used for generating 3D cardiac microtissues. ^[3] We show the effects of a combination of biochemical factors, thyroid hormone, dexamethasone, and insulin-like growth factor-1 (TDI) on the maturation of hiPSC-CMs in 3D cardiac microtissues (CMTs) that recapitulate aspects of the native myocardium. ^[4]

3d cardiac model

Electrocardiographic imaging (ECGI), computed tomography angiography (CTA), and delayed enhancement cardiac magnetic resonance imaging (DE-CMR) were integrated into a 3D cardiac model (CRT-roadmap) using anatomic landmarks from CTA and DE-CMR. ^[1] Medical image-based 3D cardiac models have grown rapidly in the last fifteen years due to the advance and consolidation of imaging systems such as magnetic resonance, computed tomography and real-time 3D echocardiography. ^[2] First, we conducted an exhaustive review of the literature associated with the existing 3D cardiac models in order to gain a deep knowledge about their main features and the methods used for their construction, with special focus on those models oriented to simulation of cardiac EP. ^[3]

3d cardiac shape

To the best of our knowledge, this is the first work that uses such an approach for 3D cardiac shape prediction. ^[1] , due to different breath-hold positions and large slice thickness), which preclude the creation of anatomically meaningful 3D cardiac shapes. ^[2]