Journal articles: 'Micro-Computed Tomography'

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Baird, Emily, and Gavin Taylor. "X-ray micro computed-tomography." Current Biology 27, no. 8 (April 2017): R289—R291. http://dx.doi.org/10.1016/j.cub.2017.01.066.

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Wenhao Chen, Wenhao Chen, Yudan Wang Yudan Wang, Huiqiang Liu Huiqiang Liu, Biao Deng Biao Deng, Yushuang Yang Yushuang Yang, and Tiqiao Xiao Tiqiao Xiao. "Pseudo-global tomography for local micro-computed tomography with high-brightness synchrotron X-rays." Chinese Optics Letters 12, no. 2 (2014): 023401–23404. http://dx.doi.org/10.3788/col201412.023401.

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Zagorchev, Lyubomir, Pierre Oses, Zhen W. Zhuang, Karen Moodie, Mary Mulligan-Kehoe, Michael Simons, and Thierry Couffinhal. "Micro computed tomography for vascular exploration." Journal of Angiogenesis Research 2, no. 1 (2010): 7. http://dx.doi.org/10.1186/2040-2384-2-7.

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Dame Carroll, J. R. "Airway dimensions measured from micro-computed tomography and high-resolution computed tomography." European Respiratory Journal 28, no. 4 (October 1, 2006): 712–20. http://dx.doi.org/10.1183/09031936.06.00012405.

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Lin, Tao, Xinye Ni, Liugang Gao, Jianfeng Sui, Kai Xie, and Shuquan Chang. "Evaluation of the Effect of a Tracheal Stent on Radiation Dose Distribution via Micro-CT Imaging." Technology in Cancer Research & Treatment 18 (January 1, 2019): 153303381984448. http://dx.doi.org/10.1177/1533033819844485.

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Purpose: To study the effect of a metal tracheal stent on radiation dose distribution. Method: A metal tube bracket is placed in a self-made foam tube sleeve, and micro-computed tomography scanning is performed directly. The foam sleeve containing the metal bracket is placed in a nonuniform phantom for a routine computed tomography scan. The stents in conventional computed tomography images are replaced by the stents in micro-computed tomography images. Subsequently, 2 sets of computed tomography images are obtained and then imported to a radiotherapy treatment planning system. A single photon beam at 0° is designed in a field size of 10 cm × 10 cm, a photon beam of 6 MV, and a monitor unit of 200 MU. Monte Carlo algorithm is used to calculate the dose distribution and obtain the dose curve of the central axis of the field. The dose is verified with thermoluminescence dose tablets. Results: The micro-computed tomography images of the tracheal stent are clearer and less false-like than its conventional computed tomography images. The planned dose curves of the 2 groups are similar. In comparison with the images without any stents in place, the doses at the incident surface of the stent in the conventional computed tomography images and at the stent exit surface in the rear of the stent increase by 1.86% and 2.76%, respectively. In the micro-computed tomography images, the doses at the incident surface of the stent and at the exit surface behind the stent increase by 1.32% and 1.19%, respectively. Conventional computed tomography reveals a large deviation between the measured and calculated values. Conclusion: Tracheal stent based on micro-computed tomography imaging has a less effect on radiotherapy calculation than that based on conventional computed tomography imaging.

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Eloot, L., N. Buls, P. Covens, I. Willekens, T. Lahoutte, and J. de Mey. "Quality control of micro-computed tomography systems." Radiation Protection Dosimetry 139, no. 1-3 (March 11, 2010): 463–67. http://dx.doi.org/10.1093/rpd/ncq088.

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Ritman, Erik L. "Micro-Computed Tomography—Current Status and Developments." Annual Review of Biomedical Engineering 6, no. 1 (August 15, 2004): 185–208. http://dx.doi.org/10.1146/annurev.bioeng.6.040803.140130.

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Chen, R., L. Xu, G. Du, B. Deng, H. Xie, and T. Xiao. "The dynamic micro computed tomography at SSRF." Journal of Instrumentation 13, no. 05 (May 9, 2018): C05006. http://dx.doi.org/10.1088/1748-0221/13/05/c05006.

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Ball, A., R. Abel, J. Ambers, L. Brierley, and L. Howard. "Micro-Computed Tomography Applied To Museum Collections." Microscopy and Microanalysis 17, S2 (July 2011): 1794–95. http://dx.doi.org/10.1017/s1431927611009846.

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Ahmed, F., and D. Sykes. "Micro-Computed Tomography in a Museum Environment." Microscopy and Microanalysis 19, S2 (August 2013): 626–27. http://dx.doi.org/10.1017/s1431927613005126.

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Redenbach, Claudia, Renate Ohser-Wiedemann, Ralf Löffler, Timo Bernthaler, and Alwin Nagel. "Characterization of Powders using Micro Computed Tomography." Particle & Particle Systems Characterization 28, no. 1-2 (April 2011): 3–12. http://dx.doi.org/10.1002/ppsc.200900088.

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Iori, Gianluca, Gianluigi Crimi, Enrico Schileo, Fulvia Taddei, Giulia Fraterrigo, and Martino Pani. "Ciclope: micro Computed Tomography to Finite Elements." Journal of Open Source Software 8, no. 84 (April 2, 2023): 4952. http://dx.doi.org/10.21105/joss.04952.

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Karahara, Ichirou, Daisuke Yamauchi, Kentaro Uesugi, and Yoshinobu Mineyuki. "Three-dimensional imaging of plant tissues using X-ray micro-computed tomography." PLANT MORPHOLOGY 27, no. 1 (2015): 21–26. http://dx.doi.org/10.5685/plmorphol.27.21.

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Rahman, Fadhlil Ulum Abdul, Azhari Azhari, Lusi Epsilawati, Ria Noerianingsih Firman, and Farina Pramanik. "Micro-Computed Tomography: Teknologi pencitraan mikroskopis berbasis Computed Tomography dan pengunaannya dalam analisis kualitas tulang." Jurnal Radiologi Dentomaksilofasial Indonesia (JRDI) 4, no. 3 (December 30, 2020): 111. http://dx.doi.org/10.32793/jrdi.v4i3.632.

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Objectives: The literature review will briefly review the development of micro-CT as a microscopic radiographic modality in the field of dental research for bone analysis Literature Review: Bone quality values represent the mechanical and biological characteristics of bone mass; structural properties including geometry, macrostructure, and microstructure; and tissue properties including modulus elasticity, mineral density, collagen quality, and character cells and bone marrow. Assessment of bone quality is carried out clinically, both locally and systemically, for various disease or therapeutic conditions. The use of micro-CT is growing prominently and effectively as a modality for analysis and evaluation of bone quality because various morphometric parameters to the microstructural level can be obtained. It applies to the analysis of osseointegration of dental implants and the healing conditions of pathological defects. Conclusion: In conclusion, micro-CT with very high resolution is accurate in the analysis of bone quality because the imaging results can provide microstructure morphometric values in osseointegration conditions after dental implant installation and post-fracture biomechanical characteristics, which can be an essential scientific basis for various experimental bone analysis research designs.

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Mazzi-Chaves, Jardel Francisco, Karla de Faria Vasconcelos, Ruben Pauwels, Reinhilde Jacobs, and Manoel Damião Sousa-Neto. "Cone-beam Computed Tomographic–based Assessment of Filled C-shaped Canals: Artifact Expression of Cone-beam Computed Tomography as Opposed to Micro–computed Tomography and Nano–computed Tomography." Journal of Endodontics 46, no. 11 (November 2020): 1702–11. http://dx.doi.org/10.1016/j.joen.2020.07.010.

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Ali Baeshen, Hosam. "Evaluation of orthodontically induced root resorption using con-beam computed tomography and micro computed tomography." Journal of King Saud University - Science 33, no. 6 (September 2021): 101517. http://dx.doi.org/10.1016/j.jksus.2021.101517.

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Kang, Jin-Seok. "Assessment of Rheumatoid Arthritis by Micro-computed Tomography." Joural of the Korea Entertainment Industry Association 9, no. 1 (March 31, 2015): 185. http://dx.doi.org/10.21184/jkeia.2015.03.9.1.185.

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Faulwetter, Sarah, Aikaterini Vasileiadou, Michail Kouratoras, Thanos Dailianis, and Christos Arvanitidis. "Micro-computed tomography: Introducing new dimensions to taxonomy." ZooKeys 263 (February 4, 2013): 1–45. http://dx.doi.org/10.3897/zookeys.263.4261.

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Liao, Che-Wei, Lih-Jyh Fuh, Yen-Wen Shen, Heng-Li Huang, Chih-Wei Kuo, Ming-Tzu Tsai, and Jui-Ting Hsu. "Self-assembled micro-computed tomography for dental education." PLOS ONE 13, no. 12 (December 26, 2018): e0209698. http://dx.doi.org/10.1371/journal.pone.0209698.

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Patterson, Brian M., and Christopher E. Hamilton. "Dimensional Standard for Micro X-ray Computed Tomography." Analytical Chemistry 82, no. 20 (October 15, 2010): 8537–43. http://dx.doi.org/10.1021/ac101522q.

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Williams, James C., James A. McAteer, Andrew P. Evan, and James E. Lingeman. "Micro-computed tomography for analysis of urinary calculi." Urological Research 38, no. 6 (October 22, 2010): 477–84. http://dx.doi.org/10.1007/s00240-010-0326-x.

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Hogan, John P., Robert A. Gonsalves, and Allen S. Krieger. "Micro computed tomography: removal of translational stage backlash." IEEE Transactions on Nuclear Science 40, no. 4 (August 1993): 1238–41. http://dx.doi.org/10.1109/tns.1993.8526784.

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Jing, Yu, Ryan T. Armstrong, Hamed Lamei Ramandi, and Peyman Mostaghimi. "Coal cleat reconstruction using micro-computed tomography imaging." Fuel 181 (October 2016): 286–99. http://dx.doi.org/10.1016/j.fuel.2016.04.127.

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Lee, Yueh Z., Laurel M. Burk, Ko-han Wang, Guohua Cao, Jonathan Volmer, Jianping Lu, and Otto Zhou. "Prospective Respiratory Gated Carbon Nanotube Micro Computed Tomography." Academic Radiology 18, no. 5 (May 2011): 588–93. http://dx.doi.org/10.1016/j.acra.2010.11.022.

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Melenka, Garrett W., Eric Lepp, Benjamin K. O. Cheung, and Jason P. Carey. "Micro-computed tomography analysis of tubular braided composites." Composite Structures 131 (November 2015): 384–96. http://dx.doi.org/10.1016/j.compstruct.2015.05.057.

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Wang, Wei, Zhijun Li, Yingna Qi, Lianxiang Chen, Ping Yi, Feng Yang, Xiangsheng Tang, and Mingsheng Tan. "Micro-architecture study of the normal odontoid with micro-computed tomography." Journal of Spinal Cord Medicine 43, no. 2 (October 2, 2018): 211–16. http://dx.doi.org/10.1080/10790268.2018.1519995.

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Schneider, Sonja Jasmin Maria, Christian Höhne, Martin Schneider, and Marc Schmitter. "Photoacoustic tomography versus cone-beam computed tomography versus micro-computed tomography: Accuracy of 3D reconstructions of human teeth." PLOS ONE 17, no. 12 (December 19, 2022): e0274818. http://dx.doi.org/10.1371/journal.pone.0274818.

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Objectives In this in-vitro study, teeth were imaged using photoacoustic tomography (PAT), cone-beam computed tomography (CBCT), and micro-computed tomography (μ-CT). The study had aim: to identify the best wavelength for PAT images to determine the accuracy of the three imaging methods, and to determine whether PAT images of teeth can achieve acceptable reconstruction quality. Methods Nineteen human mandibular single-rooted incisors were extracted from patients with trauma or periodontitis. To determine the best wavelength for acquiring photoacoustic images, all 19 teeth were scanned in vitro with PAT, using different laser wavelengths between 680 and 960 nm. The images were analyzed using image analysis software. To assess the accuracy of PAT and compare it with the accuracy of CBCT, each tooth was also scanned in vitro using CBCT and the reference standard technique of μ-CT. Subsequently, three different three-dimensional models, one for each imaging technique, were created for each tooth. Finally, the three different three-dimensional models acquired for the same tooth were matched and analyzed regarding volume and surface. Results The highest quality tooth images were achieved using the 680 nm wavelength, which showed the best contrast ratio. The full geometry of the dental root (μ-CT compared with PAT) could be visualized with relative standard deviations of 0.12 mm for the surface and −7.33 mm3 for the volume (n = 19). The full geometry of the dental root (μ-CT compared with CBCT) could be visualized with relative standard deviations of 0.06 mm for the surface and −14.56 mm3 for the volume (n = 19). The difference between the PAT–μ-CT group and CBCT–μ-CT group regarding the total average of the root surface area was not significant (p>0.06). Conclusion Images, which were acquired using PAT at 680nm showed the best contrast ration, enabling the identification of dentin, cementum and the dental pulp. No significant differences were found between the PAT–μ-CT group and CBCT–μ-CT group regarding the total average of the RSA and the total volume. Thus, three-dimensional reconstructions based on in-vitro PAT are already of acceptable reconstruction quality.

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Tanabe, Naoya, and Toyohiro Hirai. "Recent advances in airway imaging using micro-computed tomography and computed tomography for chronic obstructive pulmonary disease." Korean Journal of Internal Medicine 36, no. 6 (November 1, 2021): 1294–304. http://dx.doi.org/10.3904/kjim.2021.124.

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Chronic obstructive pulmonary disease (COPD) is a complex lung disease characterized by a combination of airway disease and emphysema. Emphysema is classified as centrilobular emphysema (CLE), paraseptal emphysema (PSE), or panlobular emphysema (PLE), and airway disease extends from the respiratory, terminal, and preterminal bronchioles to the central segmental airways. Although clinical computed tomography (CT) cannot be used to visualize the small airways, micro-CT has shown that terminal bronchiole disease is more severe in CLE than in PSE and PLE, and micro-CT findings suggest that the loss and luminal narrowing of terminal bronchioles is an early pathological change in CLE. Furthermore, the introduction of ultra-high-resolution CT has enabled direct evaluation of the proximal small (1 to 2-mm diameter) airways, and new CT analytical methods have enabled estimation of small airway disease and prediction of future COPD onset and lung function decline in smokers with and without COPD. This review discusses the literature on micro-CT and the technical advancements in clinical CT analysis for COPD. Hopefully, novel micro-CT findings will improve our understanding of the distinct pathogeneses of the emphysema subtypes to enable exploration of new therapeutic targets, and sophisticated CT imaging methods will be integrated into clinical practice to achieve more personalized management.

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Zabler, Simon, Katja Schladitz, Kilian Dremel, Jonas Graetz, and Dascha Dobrovolskij. "Region-of-Interest X-Ray Tomography for the Non-Destructive Characterization of Local Fiber Orientation in Large Fiber Composite Parts." Key Engineering Materials 809 (June 2019): 587–93. http://dx.doi.org/10.4028/www.scientific.net/kem.809.587.

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To detect and characterize materials defects in fiber composites as well as for evaluatingthe three-dimensional local fiber orientation in the latter, X-ray micro-CT is the preferred methodof choice. When micro computed tomography is applied to inspect large components, the method isreferred to as region-of-interest computed tomography. Parts can be as large as 10 cm wide and 1 mlong, while the measurement volume of micro computed tomography is a cylinder of only 4 − 5 mmdiameter (typical wall thickness of fiber composite parts). In this report, the potentials and limits ofregion-of-interest computed tomography are discussed with regard to spatial resolution and precisionwhen evaluating defects and local fiber orientation in squeeze cast components. The micro computedtomography scanner metRIC at Fraunhofer‘s Development Center X-ray Technology EZRT deliversregion-of-interest computed tomography up to a spatial resolution of 2 μm/voxel, which is sufficientfor determining the orientation of natural or synthetic fibers, wood, carbon and glass. The mean localfiber orientation is estimated on an isotropic structuring element of approximately 0.1 mm length bymeans of volume image analysis (MAVI software package by Fraunhofer ITWM). Knowing the exactlocal fiber orientation is critical for estimating anisotropic thermal conductivity and materials strength.

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Kirby, Miranda, Naoya Tanabe, Dragoş M. Vasilescu, Joel D. Cooper, John E. McDonough, Stijn E. Verleden, Bart M. Vanaudenaerde, et al. "Computed Tomography Total Airway Count Is Associated with the Number of Micro–Computed Tomography Terminal Bronchioles." American Journal of Respiratory and Critical Care Medicine 201, no. 5 (March 1, 2020): 613–15. http://dx.doi.org/10.1164/rccm.201910-1948le.

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Carlson, Stephanie K., Kelly L. Classic, Elizabeth M. Hadac, Claire E. Bender, Bradley J. Kemp, Val J. Lowe, Tanya L. Hoskin, and Stephen J. Russell. "In Vivo Quantitation of Intratumoral Radioisotope Uptake Using Micro-Single Photon Emission Computed Tomography/Computed Tomography." Molecular Imaging and Biology 8, no. 6 (October 12, 2006): 324–32. http://dx.doi.org/10.1007/s11307-006-0058-z.

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Machado, Juliane Freitas, Paula Maciel Pires, Thais Maria Pires dos Santos, Aline de Almeida Neves, Ricardo Tadeu Lopes, and Maria Augusta Portella Guedes Visconti. "Root canal segmentation in cone-beam computed tomography." Brazilian Journal of Oral Sciences 18 (December 18, 2019): e191627. http://dx.doi.org/10.20396/bjos.v18i0.8657328.

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Aim: The purpose of this study was to compare root canal volumes (RCVs) obtained by means of cone beam computed tomography (CBCT) to those obtained by micro-computed tomography (micro-CT) after applying different segmentation algorithms. Methods: Eighteen extracted human teeth with sound root canals were individually scanned in CBCT and micro-CT using specific acquisition parameters. Two different images segmentation strategies were applied to both acquisition methods (a visual and an automatic threshold). From each segmented tooth, the root canal volume was obtained. A paired t-test was used to identify differences between mean values resulted from the experimental groups and the gold standard. In addition, Pearson correlation coefficients and the agreement among the experimental groups with the gold standard were also calculated. The significance level adopted was 5%. Results: No statistical differences between the segmentation methods (visual and automatic) were observed for micro-CT acquired images. However, significant differences for the two segmentation methods tested were seen when CBCT acquired images were compared with the micro-CT automatic segmentation methods used. In general, an overestimation of the values in the visual method were observed while an underestimation was observed with the automatic segmentation algorithm. Conclusion: Cone beam computed tomography images acquired with parameters used in the present study resulted in low agreement with root canal volumes obtained with a micro-CT tomography gold standard method of RCV calculation.

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Malicki, Maciej, and Kamil Sobczak. "Verification of the Computed Tomography Results of Aluminum Alloy Welded Joint." Fatigue of Aircraft Structures 2018, no. 10 (December 1, 2018): 47–52. http://dx.doi.org/10.2478/fas-2018-0004.

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Abstract Computed tomography (CT) of aluminum welded joint specimen has been performed. On the tomographic cross sections some defects have been found. To verify them the metallography cross sections of welded has been done. It was found that selected defects are micro cracks.

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Ito, Masako. "Assessment of bone quality using micro-computed tomography (micro-CT) and synchrotron micro-CT." Journal of Bone and Mineral Metabolism 23, S1 (January 2005): 115–21. http://dx.doi.org/10.1007/bf03026335.

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Wierzbicki, Tom, Tarek El-Bialy, Saleh Aldaghreer, Guang Li, and Michael Doschak. "Analysis of Orthodontically Induced Root Resorption Using Micro-Computed Tomography (Micro-CT)." Angle Orthodontist 79, no. 1 (January 1, 2009): 91–96. http://dx.doi.org/10.2319/112107-546.1.

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Abstract Objective: To establish a protocol for assessing orthodontically induced tooth root resorption (OITRR) in human premolars using micro-computed tomography. Materials and Methods: Ten extracted maxillary first premolars were obtained from eight healthy adolescent patients; five of these premolars were extracted before any orthodontic movement was applied to them, and the other five premolars were involved in nonextraction orthodontic treatment for 1 year before treatment plan modification lead to extraction treatment. Using reconstructed scanned images, we measured several key resorption lacunae parameters, including the number, volume, and depth on each surface, as well as its extension coronoapically. Results: Orthodontic treatment resulted in a significantly greater tooth root resorption lacunae volume, number, maximum depth, and coronoapical extension as well as in areas of dentin demineralization subjacent to the resorption lacunae than in normal premolars. Conclusions: We have established a protocol to evaluate OITRR quantitatively and have provided a method to predict further resorption based on dentine demineralization.

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Hamba, H., T. Nikaido, S. Nakashima, A. Sadr, and J. Tagami. "Quantitative measurement of enamel lesion using micro-computed tomography and micro-radiography." Dental Materials 27 (January 2011): e78. http://dx.doi.org/10.1016/j.dental.2011.08.581.

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Lombardi, C. M., V. Zambelli, G. Botta, G. Cattoretti, V. Fesslova, F. Moltrasio, S. Lombardi, and S. Cuttin. "OP22.06: Postmortem micro-computed tomography (micro-CT) of small fetuses and hearts." Ultrasound in Obstetrics & Gynecology 44, S1 (September 2014): 165. http://dx.doi.org/10.1002/uog.13851.

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Dimonie, Doina, Ionut-Cristian Radu, George Vlasceanu, Catalin Zaharia, Nicoleta Dragomir, Ovidiu Dima, and Sorina Iftimie. "Estimating the 3D Printing Defects by Micro-Computed Tomography." Proceedings 57, no. 1 (November 18, 2020): 97. http://dx.doi.org/10.3390/proceedings2020057097.

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Mantovani, Edoardo, Simone Parrini, Emanuele Coda, Giovanni Cugliari, Nicola Scotti, Damiano Pasqualini, Andrea Deregibus, and Tommaso Castroflorio. "Micro computed tomography evaluation of Invisalign aligner thickness homogeneity." Angle Orthodontist 91, no. 3 (January 21, 2021): 343–48. http://dx.doi.org/10.2319/040820-265.1.

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ABSTRACT Objectives To measure the thickness homogeneity of Invisalign (Align Technology Inc, San José, Calif) aligners with micro-computed tomography (micro-CT) scans. Materials and Methods Starting from micro-CT scanning of 20 different aligners, multiplanar reconstructions were obtained. An orthodontist blinded about the study measured aligner thickness in different regions (molar, canine, incisor) and in different sites (gingival–buccal, buccal, occlusal, lingual, and gingival–lingual). To assess various thicknesses in different aligner sites and regions, the sample was stratified into subgroups and linear regression analysis was performed. Results Descriptive analysis showed that mean thickness of aligners in the incisor region ranged from 0.582 mm to 0.639 mm, in the canine region from 0.569 mm to 0.644 mm, and in the molar region from 0.566 mm to 0.634 mm. Student's t-tests showed no significant differences in the aligner thickness of different regions when data were stratified by different sites. Student's t-tests showed significant differences in thickness homogeneity for the molar region when the data were stratified by tooth (mean difference = 0.068 mm; 95% confidence interval, 0.009–0.126 mm; P = .024). Conclusions Invisalign aligner thickness is characterized by small differences. The only significant difference was revealed in the molar region where thickness of the gingival–lingual edge is significantly thinner than that measured at the occlusal aspect. From a clinical perspective, the results of the present study could be considered to explain the reduced predictability of several orthodontic tooth movements in the molar region.

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Arhatari, Benedicta D., Kathy Andrewartha, and Maurice White. "Micro X-ray computed tomography of pits and fissures." Journal of X-Ray Science and Technology 22, no. 4 (2014): 407–14. http://dx.doi.org/10.3233/xst-140435.

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Erpaçal, Begüm, Özkan Adıgüzel, and Suzan Cangül. "The use of micro-computed tomography in dental applications." International Dental Research 9, no. 2 (August 31, 2019): 78–91. http://dx.doi.org/10.5577/intdentres.2019.vol9.no2.7.

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Together with developments in digital imaging systems, there has been increasing use of micro-computed tomography (μCT) in many areas, primarily in dentistry. As this method allows 3-dimensional images to be taken providing safe and high quality results, without damaging the samples being examined, it is often preferred. Consequently, it has become possible to record rapid progression in endodontic studies in particular and to research and easily compare several techniques. Furthermore, this method can be used in tissue engineering, forming data for FEM analysis, the growth and development of craniofacial bones, imaging bone structure, and in the evaluation of implants and surrounding bone in root tip surgery, to determine mineral concentration in the teeth and to measure the thickness of enamel. The aim of this review was to focus on the areas of use of μCT in dentistry and state the advantages. Key Words: Micro-computed tomography, X-ray micro-CT, dental application, three-dimensional imaging How to cite this article: Erpaçal B, Adıgüzel Ö, Cangül S. The use of micro-computed tomography in dental applications. Int Dent Res 2019;9(2):78-91. Linguistic Revision: The English in this manuscript has been checked by at least two professional editors, both native speakers of English.

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Kim, Seung-Gon, Jae-Hong Lim, Bo-Heum Kim, Eui-Jae Lee, and Sang-Joon Lee. "Development of X-ray Micro Computed Tomography and Applications." Journal of the Korean Society of Visualization 8, no. 2 (June 30, 2010): 45–50. http://dx.doi.org/10.5407/jksv.2010.8.2.045.

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Melenka, Garrett W., and Ali Gholami. "Fiber identification of braided composites using micro-computed tomography." Composites Communications 27 (October 2021): 100813. http://dx.doi.org/10.1016/j.coco.2021.100813.

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Analytical Methods Committee AMCTB No. 109. "X-ray micro-computed tomography for heritage building materials." Analytical Methods 13, no. 48 (2021): 5875–78. http://dx.doi.org/10.1039/d1ay90154k.

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X-ray micro-computed tomography can provide information about the composition and internal structure of materials commonly found in heritage buildings such as natural stone, mortar, brick, concrete and wood.

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Irie, Tomoyo Y., Tohru Irie, Alejandro A. Espinoza Orías, Kazuyuki Segami, Norimasa Iwasaki, Howard S. An, and Nozomu Inoue. "Micro-computed tomography analysis of the lumbar pedicle wall." PLOS ONE 16, no. 7 (July 8, 2021): e0253019. http://dx.doi.org/10.1371/journal.pone.0253019.

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Background Although the pedicle is routinely used as a surgical fixation site, the pedicle wall bone area fraction (bone area per unit area) and its distribution at the isthmus of the pedicle remain unknown. The bone area fraction at the pedicle isthmus is an important factor contributing to the strength of pedicle screw constructs. This study investigates the lumbar pedicle wall microstructure based on micro-computed tomography. Methods Six fresh-frozen cadaveric lumbar spines were analyzed. Left and right pedicles of each vertebra from L1 to L5 were resected for micro-computed tomography scanning. Data was analyzed with custom-written software to determine regional variation in pedicle wall bone area fraction. The pedicular cross-section was divided into four regions: lateral, medial, cranial, and caudal. The mean bone area fraction values for each region were calculated for all lumbar spine levels. Results The lateral region showed lower bone area fraction than the medial region at all spinal levels. Bone area fraction in the medial region was the highest at all levels except for L4, and the median values were 99.8% (95.9–100%). There were significant differences between the lateral region and the caudal region at L1, L2 and L3, but none at L4 and L5. The bone area fraction in the lateral region was less than 64% at all spinal levels and that in the caudal region was less than 67% at the L4 and L5 levels. Conclusions This study provides initial detailed data on the lumbar pedicle wall microstructure based on micro-computed tomography. These findings may explain why there is a higher incidence of pedicle screw breach in the pedicle lateral and caudal walls.

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Szostakiwskyj, Matt, and Jason S. Anderson. "Salamander braincase morphology as revealed by micro‐computed tomography." Journal of Morphology 283, no. 4 (February 2, 2022): 462–501. http://dx.doi.org/10.1002/jmor.21454.

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Suzuki, Michitaka, Kohei Kawabata, Kenji Iimura, and Mitsuaki Hirota. "Particle Shape Measurement Using X-ray Micro Computed Tomography." Journal of the Society of Powder Technology, Japan 41, no. 3 (2004): 156–61. http://dx.doi.org/10.4164/sptj.41.156.

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Geraghty, P. T., A. S. Jones, J. Stewart, and W. G. Macbeth. "Micro-computed tomography: an alternative method for shark ageing." Journal of Fish Biology 80, no. 5 (February 16, 2012): 1292–99. http://dx.doi.org/10.1111/j.1095-8649.2011.03188.x.

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Smith, Catherine, Bronwyn Lowe, Kate Blair, Debra Carr, and Andrew McNaughton. "Identification of historical plant material using micro-computed tomography." Studies in Conservation 58, no. 3 (July 2013): 256–68. http://dx.doi.org/10.1179/2047058412y.0000000043.

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Ontiveros, S., J. A. Yagüe-Fabra, R. Jiménez, G. Tosello, S. Gasparin, A. Pierobon, S. Carmignato, and H. N. Hansen. "Dimensional measurement of micro-moulded parts by computed tomography." Measurement Science and Technology 23, no. 12 (October 23, 2012): 125401. http://dx.doi.org/10.1088/0957-0233/23/12/125401.

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Journal articles on the topic 'Micro-Computed Tomography'

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