Purpose: Three-dimensional modeling and printing (3DMP) of anatomical structures from cross-sectional imaging data can enhance the understanding of spatial relationships in complex congenital heart defects. Partially due to the substantial financial, material and personnel resources required, 3DMP is not yet universally used. Here, we describe a workflow that addresses and eliminates these drawbacks.
Description: The workflow utilizes the open-source software "3D Slicer" (The Slicer Community) and "Blender" (Blender Foundation) for segmentation and post-editing of datasets. This approach enables the generation of virtual or physical 3D models. The physical models are printed using a standard fused deposition modeling printer.
Evaluation: The financial challenges that likely constrain the wider use of 3DMP are largely addressed by this approach. However, the workflow still requires a considerable amount of time to manually segment the imaging data.
Conclusions: Three-dimensional modeling and printing might improve planning and safety of congenital cardiac surgical treatment. Furthermore, it is a useful tool for education of parents and medical professionals. This workflow increases its suitability for routine use also in regions with low economic resources.
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http://dx.doi.org/10.1177/21501351241293305 | DOI Listing |
BMC Nephrol
January 2025
Department of Medical Rehabilitation and Clinical Physiotherapy, Pomeranian Medical University, Żołnierska 54, Szczecin, 71-210, Poland.
Background: The problem of reduced physical activity in patients with stage 5 Chronic Kidney Disease (CKD) is becoming more and more interesting in the medical community. One of the innovative solutions that can significantly increase patients' motivation to exercise is the integration of physical training with virtual reality (VR) technology during hemodialysis. The aim of this study was to comprehensively assess the impact of regular physical activity using virtual reality on the concentration of plasma PCSK9 protein and TNF-α in patients with stage 5 CKD treated with hemodialysis.
View Article and Find Full Text PDFSurgery
December 2024
Center for Equity in Global Surgery, University of Global Health Equity, Kigali, Rwanda.
The traditional apprenticeship model of "see one, do one, teach one" is no longer considered the most effective approach for training surgical trainees. Key factors such as patient safety, increasing trainee numbers, and clinician workload pose significant challenges to surgical training. These pressures have led to the adoption of simulation-based education as an effective adjunct to clinical experience when training future surgeons.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
Institute for Water and Wastewater Technology, Durban University of Technology, Durban-4001, South Africa. Electronic address:
Recent advancements in data analytics, predictive modeling, and optimization have highlighted the potential of integrating algal blooms (ABs) with Industry 4.0 technologies. Among these innovations, digital twins (DT) have gained prominence, driven by the rapid development of artificial intelligence (AI) and machine learning (ML) technologies, particularly those associated with the Internet of Things (IoT).
View Article and Find Full Text PDFPLoS One
December 2024
Department of Psychology, York University, Toronto, Ontario, Canada.
Spatial updating, the ability to track the egocentric position of surrounding objects during self-motion, is fundamental to navigating around the world. However, people make systematic errors when updating the position of objects after linear self-motion. To determine the source of these errors, we measured errors in remembered target position with or without passive lateral translations.
View Article and Find Full Text PDFSci Rep
December 2024
Chair of Applied Electrodynamics and Plasma Technology, Ruhr University Bochum, Universitätsstraße 150, 44780, Bochum, Germany.
Nonlinearity is a crucial characteristic for implementing hardware security primitives or neuromorphic computing systems. The main feature of all memristive devices is this nonlinear behavior observed in their current-voltage characteristics. To comprehend the nonlinear behavior, we have to understand the coexistence of resistive, capacitive, and inertia (virtual inductive) effects in these devices.
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