Dimensional assessment in bioarchaeology applications: a preliminary study on quality controls in 3D printing of human skulls DOI Open Access

Marta Cecchitelli,

Giorgia Fiori, Gabriele Bocchetta

et al.

Published: Jan. 1, 2023

In the last few years, three-dimensional (3D) printing has been used in archaeology and cultural heritage fields for different purposes.Among technologies of 3D printing, e.g., stereolithography or selective laser sintering, this study focuses on quality assessment printed models using fused deposition modeling technology.To simulate archaeological human remains, a cranial model assumed as gold standard from computed tomography (CT) data skull.Eight (3DP) have reproduced CT scanned with same protocol order to quantify their congruence through an objective measurement method based image analysis.Preliminary results show increasing percentage error degree detail increases, 1% 15%.The experimental are discussed commented also metrological point view.

Language: Английский

Additive Manufacturing for Surgical Planning and Education: A Review DOI Creative Commons
Antreas Kantaros, Florian Ion Tiberiu Petrescu, Hamed Abdoli

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(6), P. 2550 - 2550

Published: March 18, 2024

Additive manufacturing has been widely used in various industries, including the healthcare sector. Over last few decades, AM playing an important role medical field different areas, surgical planning, implants, and educational activities. For applications, can help surgeons practice plan operation until they are confident with process. This to reduce operational risk time. In addition, it demonstrate problem other colleagues. also produce 3D models teach students doctors about human anatomy. paper aims comprehensively review diverse applications of additive within domains planning education. By focusing on multifaceted roles played by these critical a contribution growing body knowledge that underscores transformative potential this technology shaping future practices is sought be made.

Language: Английский

Citations

18
Shaping the Future of Cardiovascular Disease by 3D Printing Applications in Stent Technology and its Clinical Outcomes DOI
Muneeb Ullah,

Ayisha Bibi,

Abdul Wahab

et al.

Current Problems in Cardiology, Journal Year: 2023, Volume and Issue: 49(1), P. 102039 - 102039

Published: Aug. 19, 2023

Language: Английский

Citations

27
Dental Material Selection for the Additive Manufacturing of Removable Complete Dentures (RCD) DOI Open Access
Dmitry I. Grachev, Evgeny A. Chizhmakov, D.Yu. Stepanov

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(7), P. 6432 - 6432

Published: March 29, 2023

This research addresses the development of a formalized approach to dental material selection (DMS) in manufacturing removable complete dentures (RDC). Three types commercially available polymethyl methacrylate (PMMA) grades, processed by an identical Digital Light Processing (DLP) 3D printer, were compared. In this way, combination mechanical, tribological, technological, microbiological, and economic factors was assessed. The indices calculated compare materials for set functional parameters related feedstock cost. However, did not solve problem simultaneous consideration all indices, including their significance. developed DMS procedure employs extended VIKOR method, based on analysis interval quantitative estimations, which allowed carrying out fully fledged alternatives. proposed has potential enhance efficiency prosthetic treatment optimizing procedure, taking into prosthesis design its production route.

Language: Английский

Citations

12
Dimensional Accuracy Assessment of Medical Anatomical Models Produced by Hospital-Based Fused Deposition Modeling 3D Printer DOI Creative Commons
Kevin Wendo, Catherine Behets, Olivier Barbier

et al.

Journal of Imaging, Journal Year: 2025, Volume and Issue: 11(2), P. 39 - 39

Published: Jan. 30, 2025

As 3D printing technology expands rapidly in medical disciplines, the accuracy evaluation of 3D-printed models is required. However, no established guidelines to assess dimensional error anatomical exist. This study aims evaluate using a hospital-based Fused Deposition Modeling (FDM) printer. Two dissected cadaveric right hands were marked with Titanium Kirshner wires identify landmarks on heads and bases all metacarpals proximal middle phalanges. Both scanned Cone Beam Computed Tomography scanner. Image post-processing segmentation performed Slicer software. Hand professional FDM Manual measurements both pairs taken by two independent observers digital caliper. The Mean Absolute Difference (MAD) Dimensional Error (MDE) calculated. Our results showed an acceptable level accuracy. overall study’s MAD was 0.32 mm (±0.34), its MDE 1.03% (±0.83). These values fall within recommended range errors. A high achieved, suggesting their reliability suitability for applications.

Language: Английский

Citations

0
Semantic Segmentation for Vision and Intelligence DOI
Junhao Song, Junjie Yang, Bowen Jing

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Nanometabolomics elucidated biological response of 3D printed vascular stents: Towards metabolic reprogramming of metabolome and lipidome DOI

Yu Zeng,

Yumeng Liu,

Tong Sun

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: 508, P. 161051 - 161051

Published: Feb. 26, 2025

Language: Английский

Citations

0
Precision diagnosis of burn injuries using imaging and predictive modeling for clinical applications DOI Creative Commons
Pramod Rangaiah, B. P. Pradeep Kumar, Fredrik Huss

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 4, 2025

Burns represents a serious clinical problem because the diagnosis and assessment are very complex. This paper proposes methodology that combines use of advanced medical imaging with predictive modeling for improvement burn injury assessment. The proposed framework makes Adaptive Complex Independent Components Analysis (ACICA) Reference Region (TBSA) methods in conjunction deep learning techniques precise estimation depth Total Body Surface Area analysis. It also allows burns high accuracy, calculation TBSA, non-invasive analysis 96.7% accuracy using an RNN model. Extensive experimentation on DCE-LUV samples validates enhanced diagnostic precision detailed texture These technologies provide nuanced insights into severity, improving treatment planning. Our results demonstrate potential these to revolutionize care optimize patient outcomes.

Language: Английский

Citations

0
Pore parameter selection for fused deposition modeling of gas diffusion layers in proton exchange membrane fuel cells DOI
Chuanxu Luo, Hui Leng Choo,

Hafisoh Ahmad

et al.

Journal of Applied Polymer Science, Journal Year: 2024, Volume and Issue: 141(16)

Published: Jan. 29, 2024

Abstract Because of the global energy crisis, many researchers have focused their efforts on fuel cells. The gas diffusion layer (GDL) is a fundamental component proton exchange membrane (PEM) manufacturing procedures for traditional carbon‐based GDLs are sophisticated and energy‐intensive, design flexibility constraints, making it difficult to build complicated forms structures. Additive widely used in variety fields, with fused deposition modeling (FDM) technique being most popular method. Prior conducting systematic research printed GDLs, necessary investigate pore parameters support FDM technique. In this research, initial step involves material selection, printer modeling. Subsequently, printing analysis sample characterization conducted select an acceptable shape. A water drainage test determines appropriate size, followed by additional tests porosity range. square shape determined be more suitable. side length 1.0 mm identified. Furthermore, suitable range 10.9%–30.3% Next step, will undergo further testing suitability PEM

Language: Английский

Citations

3
Verifying the Accuracy of 3D-Printed Objects Using an Image Processing System DOI Creative Commons
Takuya Okamoto, Masaaki KIMURA

Journal of Manufacturing and Materials Processing, Journal Year: 2024, Volume and Issue: 8(3), P. 94 - 94

Published: April 30, 2024

Image processing systems can be used to measure the accuracy of 3D-printed objects. These must compare images CAD model object printed with its counterparts identify any discrepancies. Consequently, integrity measurement process is heavily dependent on image settings chosen. This study focuses this issue by developing a customized system. The system generates binary given and then compares them pixel determine accuracy. Users experiment various settings, such as grayscale conversion threshold, noise reduction parameters, masking pixel-fineness adjustment see how they affect concludes that threshold has most significant impact optimal varies depending color object. also effectively eliminate (filament marks) during processing, ensuring accurate measurements. Additionally, highly complex porous structures where pore size, depth, distribution are random. insights gained from develop intelligent for metrology additive manufacturing.

Language: Английский

Citations

2
Masked stereolithography 3D printing of a brain tissue from an MRI data set DOI Creative Commons
Yılmaz Gür

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 98, P. 302 - 311

Published: May 7, 2024

3D printing technology holds tremendous promise for applications in the medical field, particularly creation of anatomical models. The accuracy 3D-printed models is utmost importance, especially surgeons engaged complex surgical planning. goal this study was to create an anatomically precise model brain tissue using data obtained from MRI scan, with a resin-based Masked Stereolithography printer, and assess model's potential uses. process creating SLA printer divided into six fundamental stages. project necessitated 55.4 g resin, total time 4 h 56 min. Any liquid resin residues on structure eliminated through cleaning have been conducted 99.6 % pure isopropyl alcohol. Following phase, produced underwent curing chamber illuminated ultraviolet light at wavelength 405 nm ensure complete solidification. Once solidification completed, dimensions are measured micrometer compared those digitally generated scan data. results showed that overall dimensional error less than 1 %.

Language: Английский

Citations

2