Kare Design Picture Frame Mirror Skull, black, frame glass mirrored, Glass Toughened safety glass, back panel MDF, wall art, room decor, home decor for living room, hallway, bedroom, 100x100cm

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Kare Design Picture Frame Mirror Skull, black, frame glass mirrored, Glass Toughened safety glass, back panel MDF, wall art, room decor, home decor for living room, hallway, bedroom, 100x100cm

Kare Design Picture Frame Mirror Skull, black, frame glass mirrored, Glass Toughened safety glass, back panel MDF, wall art, room decor, home decor for living room, hallway, bedroom, 100x100cm

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Thiong’o, G.M.; Bernstein, M.; Drake, J. 3D printing in neurosurgery education: A review. 3D Print. Med. 2021, 7, 9. [ Google Scholar] [ CrossRef] [ PubMed] Ridgway, E.B.; Weiner, H.L. Skull deformities. Pediatr. Clin. N. Am. 2004, 51, 359–387. [ Google Scholar] [ CrossRef] Hay, A.J.; Smayra, T.; Moussa, R. Customized Polymethylmethacrylate Cranioplasty Implants Using 3-Dimensional Printed Polylactic Acid Molds: Technical Note with 2 Illustrative Cases. World Neurosurg. 2017, 105, 971–979.e1. [ Google Scholar] [ CrossRef]

In any acquisition from XCT systems, various artifacts may appear because of physical problems of the object, such as (i) a high density of the material, (ii) an excessive size of the object for the limits of the scanning envelope of the machine, and (iii) displacement of the object during the acquisition process or due to the inaccurate calibration of the machine (i.e., the parameters of acquisition used). Accordingly, the first step to follow is to review and to calibrate the images obtained to eliminate artifacts. ii) Increasing voxel and pixel sizes. In some studies performed here, an increment in voxel and pixel sizes of the medical XCT dataset and laboratory XCT dataset was applied to improve the contrast of small structures such as the trabeculae of cancellous bone. To perform this process, pixel size was increased in medical XCT datasets of 512 × 512 pixels to 1,024 × 1,024 pixels (see Table 1, image matrix “processed”), using this path Image→Adjust→Size (Resize). For increasing voxel size (see Table 1, voxel size “processed”), using the same pathway for converting non-isotropic to isotropic voxel. We performed these processes in ImageJ ( Rueden et al., 2017) using the bicubic interpolation method ( Maret et al., 2012; Parsania and Virparia, 2016; Camardella et al., 2017; Rajarapollu and Mankar, 2017; Figure 5C). Increasing first the pixel size and then the voxel size is recommended. Gerstl, J.V.E.; Rendon, L.F.; Burke, S.M.; Doucette, J.; Mekary, R.A.; Smith, T.R. Complications and cosmetic outcomes of materials used in cranioplasty following decompressive craniectomy—A systematic review, pairwise meta-analysis, and network meta-analysis. Acta Neurochir. 2022, 164, 3075–3090. [ Google Scholar] [ CrossRef]

Yu W, Lia M, Lib X. Fragmented skull modeling using heat kernels. Graphical Models. 2012; 74(4): 140–151. van der Meer WJ, Bos RR, Vissink A, Visser A. Digital planning of cranial implants. Br J Oral Maxillofac Surg. 2013; 51(5): 450–452. pmid:23266152 Cuc, N.T.K.; Cao, X.B.; Vu, T.D.; Thang, V.T. Design and Mechanical Evaluation of a Large Cranial Implant and Fixation Parts. Interdiscip. Neurosurg. 2023, 31, 101676. [ Google Scholar] [ CrossRef] Osenbach, R.K.; Haines, S.J. Infections in Neurological Surgery. In Neurosurgery; Springer Specialist Surgery, Series; Moore, A.J., Newell, D.W., Eds.; Springer: London, UK, 2005. [ Google Scholar] [ CrossRef] We are grateful to Lorenzo Rook, Pasquale Raia, and Josep Fortuny for inviting us to contribute to this volume. We are also especially grateful to Paul Palmqvist for his comments on an earlier version of this manuscript. We are specially grateful to Jordi Marcé-Nogué and Vincent Fernandez for their highly constructive review of our paper. Supplementary Material

This article has been supported by projects CGL2015-68300P, CGL2017-92166-EXP, UMA18-FEDERJA188, and CGL-2016-78577-P. Conflict of Interest Singh, D.K.; Shankar, D.; Yadav, K.; Kaif, M.; Singh, R.K. Use of a Single Standard Skull Model for Preparation of PMMA-Based Cranioplasty Flap: A Novel Low-Cost Technique. Turk. Neurosurg. 2023. [ Google Scholar] [ CrossRef]

In this section, the proposed methodology for designing and fabricating a biomimetic, lightweight patient-specific cranial prosthesis is described. The overall workflow was performed in three modules, as described in detail below. Preoperative Medical Image Data Acquisition and Processing Moreover, the new “virtual world” has significantly changed how scientists conceive the collections of living and fossil organisms. For example, nowadays, virtual free-access collections such as Morphomuseum 1, Phenome10K 2, or the pioneer Digimorph 3 are substantially increasing. Furthermore, such digital collections could be used to detect fossil fakes or to have a digital copy of the original specimen that can be adequately preserved against possible loss ( Rahman et al., 2012). Skervin, A.; Levy, B. Management of Common Surgical Complications. Surgery 2023, 41, 76–80. [ Google Scholar] [ CrossRef] Piitulainen, J.M.; Kauko, T.; Aitasalo, K.M.; Vuorinen, V.; Vallittu, P.K.; Posti, J.P. Outcomes of Cranioplasty with Synthetic Materials and Autologous Bone Grafts. World Neurosurg. 2015, 83, 708–714. [ Google Scholar] [ CrossRef] [ PubMed] The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author. Author Contributions

Mian, S.H.; Moiduddin, K.; Elseufy, S.M.; Alkhalefah, H. Adaptive Mechanism for Designing a Personalized Cranial Implant and Its 3D Printing Using PEEK. Polymers 2022, 14, 1266. [ Google Scholar] [ CrossRef] Gilardino MS, Karunanayake M, Al-Humsi T, Izadpanah A, Al-Ajmi H, Marcoux J, et al. A comparison and cost analysis of cranioplasty techniques: autologous bone versus custom computer-generated implants. Journal of Craniofacial Surgery 2015; 1: 113–117.Jegadeesan, J.T.; Baldia, M.; Basu, B. Next-Generation Personalized Cranioplasty Treatment. Acta Biomater. 2022, 154, 63–82. [ Google Scholar] [ CrossRef] [ PubMed] Winkler, P.A.; Stummer, W.; Linke, R.; Krishnan, K.G.; Tatsch, K. The influence of cranioplasty on postural blood flow regulation, cerebrovascular reserve capacity, and cerebral glucose metabolism. Neurosurg. Focus 2000, 8, 1–9. [ Google Scholar] [ CrossRef] Among all alloplastic materials, titanium continues to be the mainstream material used in cranioplasty due to its excellent biocompatibility, resistance to infection, high strength to weight ratio, corrosion resistance, non-magnetic properties, and toughness ( Niinomi, 1998; Zhang and Chen, 2019). Titanium plates for cranial defect reconstructions were first described in 1974 ( Gordon and Blair, 1974). Since then, cranial reconstructions have witnessed tremendous progress in using computer-aided design (CAD) methods ( Cabraja et al., 2009; Wiggins et al., 2013; Bonda et al., 2015). Additive manufacturing (AM) or three-dimensional (3D) printing of titanium patient-specific implants (PSIs) made its way into cranioplasty, improving the clinical outcomes in complex surgical procedures ( Cho et al., 2015; Park et al., 2016; Moiduddin et al., 2019; Sharma et al., 2020). Furthermore, there has been a significant interest within the medical community in redesigning implants based on natural analogies ( Tejero et al., 2014; Brett et al., 2017).



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