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| How 3D printing continues to evolve in the medical field to better understand patients’ conditions. Keywords: 3D-printing, STL files, stimulation |
Wallace Rangel June 17, 2025 |
Introduction: Image acquisition
Each bone weighs a different number of pounds. The device analyzes the thickness of the bones to determine the exact measurements of each bone kernel. It is positioned on 4 toothpicks. A couple of the easy tissue (STK) as well as the bone kernel (BK) were individually acquiring each set of measurements that was used to start scanning the width of the bones that had been sliced approximately 5 times. The widths they included: 0.4, 0.6, 1.5, 3.0, and 5.0mm (Juergensen, Rischen, Hasselmann, Toennemann, et al, 2024). The device captures the images of the bones and then displays them on the user’s end for evaluation, so they can examine them closely to understand the importance of what the bones indicate. Technology continues to grow, and with such development, it helps organizations grow and succeed in the competitive marketplace.
The medical 3d printing process and its errors
There is a procedure that the 3D model follows to begin generating virtualized sculptures, which then continue to create the necessary images segmented within the datasets by the Digital Imaging and Communications in Medicine (DICOM) standard. All the information is inside (Juergensen, Rischen, Hasselmann, Toennemann, et al, 2024). It follows a procedure that results in the production of images. The device then captures the images that have been implemented into the device and gives the user full access to edit if needed. Sometimes the device may run into technical errors that prevent the files from going through, which creates systemic issues. These models are saved as Standard Tessellation Language files (STL), which represent the model as a 3D mesh of triangles and vectors. Users can access the files that have been implemented and create further fixtures if required to make sure that everything is going according to plan. STL files can contain errors such as artifacts, mesh gaps, and vector misalignments. Sometimes the files will not be generated because of technical errors. For instance, say a surgeon sees that a patient has been delivered to the hospital with a broken arm and ACL, they have to undergo further examination to find out the best possible treatment for the patient without causing them to lose full mobility of their body. They are then required to take them to the X-ray room and place them inside an X-ray machine or a particular machine that examines the injured part of the person so that they can figure out what is the best surgical procedure they can perform on that individual to minimize risks. Although this is a common procedure in hospitals, in rare cases, infectious diseases may spread across the body, resulting in the person dying if left under no observation by nurses and doctors. There are manualized techniques that help fix the automation, as well as the problems that have been happening throughout various areas, but nothing was addressed (Juergensen, Rischen, Hasselmann, Toennemann, et al, 2024). This causes the machine to not produce results accurately and may run into several technical problems that would have to be fixed by a professional person that specializes in dealing with machine fixtures. Material-specific post-processing steps may be required, such as the removal of support structures. If an error occurs with the device, the device will not analyze the information correctly, causing further problems, and an alternative procedure will have to be performed by the medical doctors who are evaluating patients who need special care or require a surgical procedure.
Quality assurance for medical 3D printing
They can be attributed to the often-required significant manual intervention during segmentation, but parameters such as slice thickness, image reconstruction algorithm and threshold can also affect the segmentation results. This prevents the machine from producing accurate results that the computer can read systematically from the device, to then transfer over to the machine to capture the images given by the individual that are accessing the medical machine. In rare cases, it may not produce the correct results. 3D printing machines continue to advance as time goes on, making bigger and economical changes to the medical industry. The subsequent process steps (DEE and PrE) are less dependent on manual intervention and primarily influenced by software parameters. The images are placed at the center of the machine and then analyzed by the software that is programmed inside the machine. The user is able to observe the image that shows up on the device and make changes if needed. However, several approaches must be taken into consideration. If an image cannot be generated through the machine, it should be recentered correctly. This indicates that the piece of equipment or item was not placed correctly on top of the machine and was misread. Most of the information used to generate several consequences involved addressing the finalized item to print in high condition, allowing for comparison only of the primary data provided by numerous studies (Juergensen, Rischen, Hasselmann, Toennemann, et al., 2024). They found that only a small portion of images were analyzed correctly. 3D printing continues to develop. Doctors discover new ways to treat medical conditions, while machines continue evolving, and the way nurses and workers work. Equipment is always making a transformation in the medical industry. We see many organizations implementing new policies and standardized procedures to improve the safety of employees. Some machines can start performing many more results superior by detecting technical errors that contain information that rationalizes intensity to see if the images being printed have a core to soften the comparison, signaling the sound to flow around the harder kernels that have edges (Juergensen, Rischen, Hasselmann, Toennemann, et al., 2024). This helps determine what went wrong and what the necessary steps are to find a solution to the problem. Brainlab Elements has not yet been frequently examined in terms of segmentation for 3D printing. There is not enough information available to understand if this makes the medical procedure more effective. As 3D printing continues to develop, individuals are using simulation to gain an understanding of how 3D printing can increase the chances of surviving an earthquake. The article stated, “The simulator can replicate various earthquake conditions by applying horizontal movements and different ground motions.” This will help us understand which areas the earthquake is hitting. Some countries may be able to survive such critical weather conditions, as they will have stronger material to handle the earthquake, giving people a higher chance of survival. This lowers the death rates and may even contribute to providing a better economic lifestyle for its residents.
Conclusion
3D printing is constantly developing with technological advancements. Doctors and the medical industry are seeking new ways to treat patients’ conditions without causing higher chances of death. Although this is not guaranteed, it helps the economy to grow and provides better solutions to medical problems, procedures that require specialized treatment.
References
Juergensen, Lukas, et al. “Insights into Geometric Deviations of Medical 3d-Printing: A Phantom Study Utilizing Error Propagation Analysis.” 3d Printing in Medicine, vol. 10, no. 1, 2024, pp. 38–21, https://doi.org/10.1186/s41205-024-00242-x.
3DPrinting.com. “University of Bristol Researchers Are Testing 3D-Printed Structures for Earthquake Resistance.” 3D Printing, 16 June 2025, 3dprinting.com/news/university-of-bristol-researchers-are-testing-3d-printed-structures-for-earthquake-resistance. https://3dprinting.com/news/university-of-bristol-researchers-are-testing-3d-printed-structures-for-earthquake-resistance/