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Martínez-Espinosa J, Cordova-Fraga T, Guzmán-Cabrera R. Generation of Raman images through spectral mappings. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019. [DOI: 10.3233/jifs-179045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- J.C. Martínez-Espinosa
- Instituto Politécnico Nacional-UPIIG, Mineral de Valenciana N. 200, Industrial Puerto Interior, Silao de la Victoria, GTO, México
| | - T. Cordova-Fraga
- Departamento de Ingeniería Física – DCI, Universidad de Guanajuato campus León, Loma del Bosque, Lomas del Campestre, León, GTO, México
| | - R. Guzmán-Cabrera
- Departamento de Ingeniería Eléctrica – DICIS, Universidad de Guanajuato campus Irapuato-Salamanca km 3.5 Carretera Salamanca-Valle de Santiago + 1.8 Comunidad de Pablo Blanco, GTO, México
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Liao CW, Fuh LJ, Shen YW, Huang HL, Kuo CW, Tsai MT, Hsu JT. Self-assembled micro-computed tomography for dental education. PLoS One 2018; 13:e0209698. [PMID: 30586444 PMCID: PMC6306236 DOI: 10.1371/journal.pone.0209698] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 12/09/2018] [Indexed: 11/24/2022] Open
Abstract
This study used available or purchased equipment and an image reconstruction system developed by the college of dentistry to establish a basic self-assembled micro-computed tomography (micro-CT) system. Such a system would be suitable for teaching dental radiology to dental students. Specifically, it could help students to understand the principles governing dental cone-beam computed tomography (CBCT) and provide graduate students with a system for scanning small samples (e.g., individual teeth) during the early stages of research. The self-assembled micro-CT system was constructed using a portable dental X-ray tube, an intraoral digital X-ray detector, a high-precision rotation stage, related bracket accessories, and a notebook computer. Reconstructed images and three-dimensional models of the maxillary right third molar were produced using the self-assembled micro-CT system and an advanced commercially available micro-CT system (Skyscan 2211). Subsequently, the reconstructed images and 3D models produced using the two systems were compared by two senior dentists to determine whether considerable visual differences could be observed. Finally, the signal-to-noise ratio (SNR) was used for quantitative analysis and to compare the systems. Although the self-assembled micro-CT system produced image boundaries that were not as sharp as those of Skyscan 2211, the images were nonetheless remarkably similar. In addition, the two micro-CT systems produced 3D models that were almost identical in appearance and root canal shape. Quantitative analysis revealed that Skyscan 2211 had produced a SNR that was superior to that of the self-assembled micro-CT system, with the difference ranging from 36.77% to 136.22%; enamel, which has a higher density, exhibited lower SNR differences, whereas dentin, which has a lower density, exhibited higher SNR differences. The self-assembled micro-CT system with a resolution of 36 μm was created using a portable dental X-ray tube and an intraoral digital X-ray detector. Although the scanning time was relatively long (~30 min to scan images of a tooth), the images were adequate in the preliminary stage of experiments. More importantly, students were afforded the opportunity to observe the process of assembling and disassembling each component of a micro-CT scanner and thereby achieve a more comprehensive understanding of the principles governing micro-CT and dental CBCT.
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Affiliation(s)
- Che-Wei Liao
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, ROC
| | - Lih-Jyh Fuh
- School of Dentistry, College of Dentistry, China Medical University, Taichung, Taiwan, ROC
- Department of Dentistry, China Medical University and Hospital, Taichung, Taiwan, ROC
| | - Yen-Wen Shen
- School of Dentistry, College of Dentistry, China Medical University, Taichung, Taiwan, ROC
- Department of Dentistry, China Medical University and Hospital, Taichung, Taiwan, ROC
| | - Heng-Li Huang
- School of Dentistry, College of Dentistry, China Medical University, Taichung, Taiwan, ROC
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan, ROC
| | - Chih-Wei Kuo
- Materials & Electro-Optics Research Division, National Chung-Shan Institute of Science & Technology, Taoyuan City, Taiwan, ROC
| | - Ming-Tzu Tsai
- Department of Biomedical Engineering Hungkuang University, Taichung, Taiwan, ROC
| | - Jui-Ting Hsu
- School of Dentistry, College of Dentistry, China Medical University, Taichung, Taiwan, ROC
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan, ROC
- * E-mail: ,
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Melli SA, Wahid KA, Babyn P, Cooper DML, Hasan AM. A wavelet gradient sparsity based algorithm for reconstruction of reduced-view tomography datasets obtained with a monochromatic synchrotron-based X-ray source. Comput Med Imaging Graph 2018; 69:69-81. [PMID: 30212736 DOI: 10.1016/j.compmedimag.2018.08.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Revised: 06/16/2018] [Accepted: 08/21/2018] [Indexed: 11/16/2022]
Abstract
High-resolution synchrotron computed tomography (CT) is very helpful in the diagnosis and monitor of chronic diseases including osteoporosis. Osteoporosis is characterized by low bone mass and cortical bone porosity best imaged with CT. Synchrotron CT requires a large number of angular projections to reconstruct images with high resolution for detailed and accurate diagnosis. However, this poses great risks and challenges for serial in-vivo human and animal imaging due to a large amount of X-ray radiation dose required that can damage living specimens. Also, longer scan times are associated with increased risk of specimen movement and motion artifact in the reconstructed images. We developed a wavelet-gradient sparsity based algorithm to be utilized as a synchrotron tomography reconstruction technique allowing accurate reconstruction of cortical bone porosity assessed for in-vivo preclinical study which significantly reduces the radiation dose and scan time required while maintaining satisfactory image resolution for diagnosis. The results of our study on a rat forelimb sample imaged in the Biomedical Imaging and Therapy Bending Magnet (BMIT-BM) beamline at the Canadian Light Source show that the proposed algorithm can produce satisfactory image quality with more than 50 percent X-ray dose reduction as indicated by both visual and quantitative-based performance.
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Affiliation(s)
- S Ali Melli
- Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
| | - Khan A Wahid
- Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada
| | - Paul Babyn
- Department of Medical Imaging, Royal University Hospital, University of Saskatchewan, Saskatoon, SK, Canada
| | - David M L Cooper
- Department of Anatomy and Cell Biology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Ahmed M Hasan
- Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada
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Melli SA, Wahid KA, Babyn P, Cooper DML, Gopi VP. A sparsity-based iterative algorithm for reconstruction of micro-CT images from highly undersampled projection datasets obtained with a synchrotron X-ray source. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2016; 87:123701. [PMID: 28040926 DOI: 10.1063/1.4968198] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Synchrotron X-ray Micro Computed Tomography (Micro-CT) is an imaging technique which is increasingly used for non-invasive in vivo preclinical imaging. However, it often requires a large number of projections from many different angles to reconstruct high-quality images leading to significantly high radiation doses and long scan times. To utilize this imaging technique further for in vivo imaging, we need to design reconstruction algorithms that reduce the radiation dose and scan time without reduction of reconstructed image quality. This research is focused on using a combination of gradient-based Douglas-Rachford splitting and discrete wavelet packet shrinkage image denoising methods to design an algorithm for reconstruction of large-scale reduced-view synchrotron Micro-CT images with acceptable quality metrics. These quality metrics are computed by comparing the reconstructed images with a high-dose reference image reconstructed from 1800 equally spaced projections spanning 180°. Visual and quantitative-based performance assessment of a synthetic head phantom and a femoral cortical bone sample imaged in the biomedical imaging and therapy bending magnet beamline at the Canadian Light Source demonstrates that the proposed algorithm is superior to the existing reconstruction algorithms. Using the proposed reconstruction algorithm to reduce the number of projections in synchrotron Micro-CT is an effective way to reduce the overall radiation dose and scan time which improves in vivo imaging protocols.
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Affiliation(s)
- S Ali Melli
- Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Saskatchewan S7N5A9, Canada
| | - Khan A Wahid
- Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Saskatchewan S7N5A9, Canada
| | - Paul Babyn
- Department of Medical Imaging, Royal University Hospital, University of Saskatchewan, Saskatoon, Saskatchewan S7N 0W8, Canada
| | - David M L Cooper
- Department of Anatomy and Cell Biology, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan S7N 5E5, Canada
| | - Varun P Gopi
- Department of Electronics and Communication Engineering, Government Engineering College Wayanad, Mananthavady, India
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Titarenko V. Analytical formula for two-dimensional ring artefact suppression. JOURNAL OF SYNCHROTRON RADIATION 2016; 23:1447-1461. [PMID: 27787251 DOI: 10.1107/s160057751601479x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 09/19/2016] [Indexed: 06/06/2023]
Abstract
Ring artefacts are the most disturbing artefacts when reconstructed volumes are segmented. A lot of effort has already been put into better X-ray optics, scintillators and detectors in order to minimize the appearance of these artefacts. However, additional processing is often required after standard flat-field correction. Several methods exist to suppress artefacts. One group of methods is based on minimization of the Tikhonov functional. An analytical formula for processing of a single sinogram was developed. In this paper a similar approach is used and a formula for processing two-dimensional projections is found. Thus suppression of ring artefacts is organized as a two-dimensional convolution of `averaged' projections with a given filter. Several approaches are discussed in order to find elements of the filter in a faster and accurate way. Examples of experimental datasets processed by the proposed method are considered.
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Affiliation(s)
- Valeriy Titarenko
- Henry Moseley X-ray Imaging Facility, Photon Science Institute, Alan Turing Building, The University of Manchester, Manchester M13 9PL, UK
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Montgomery JE, Wesolowski MJ, Wolkowski B, Chibbar R, Snead ECR, Singh J, Pettitt M, Malhi PS, Barboza T, Adams G. Demonstration of synchrotron x-ray phase contrast imaging computed tomography of infiltrative transitional cell carcinoma of the prostatic urethra in a dog. J Med Imaging (Bellingham) 2016; 3:015504. [PMID: 27014719 DOI: 10.1117/1.jmi.3.1.015504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Accepted: 02/25/2016] [Indexed: 11/14/2022] Open
Abstract
Prostatic urethral transitional cell carcinoma with prostatic invasion in a dog was imaged with abdominal radiography and abdominal ultrasonography antemortem. Synchrotron in-line x-ray phase contrast imaging computed tomography (XPCI-CT) was performed on the prostate ex vivo at the Canadian Light Source Synchrotron and compared to histology. XPCI-CT imaging provides greater soft tissue contrast than conventional absorption-based x-ray imaging modalities, permitting visualization of regions of inflammatory cell infiltration, differentiation of invasive versus noninvasive tumor regions, and areas of necrosis and mineralization. This represents the first report of XPCI-CT images of an invasive prostatic urothelial neoplasm in a dog.
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Affiliation(s)
- James E Montgomery
- University of Saskatchewan , College of Medicine, 107 Wiggins Road, Saskatoon, Saskatchewan S7N 5E5, Canada
| | - Michal J Wesolowski
- University of Saskatchewan , Department of Medical Imaging, College of Medicine, 107 Wiggins Road, Saskatoon, Saskatchewan S7N 5E5, Canada
| | - Bailey Wolkowski
- University of Saskatchewan , Department of Animal and Poultry Science, College of Agriculture and Bioresources, 51 Campus Drive, Saskatoon, Saskatchewan S7N 5A8, Canada
| | - Rajni Chibbar
- University of Saskatchewan , Department of Pathology and Laboratory Medicine, College of Medicine, 107 Wiggins Road, Saskatoon, Saskatchewan S7N 5E5, Canada
| | - Elisabeth C R Snead
- University of Saskatchewan , Department of Small Animal Clinical Sciences, Western College of Veterinary Medicine, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| | - Jaswant Singh
- University of Saskatchewan , Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| | - Murray Pettitt
- University of Saskatchewan , Department of Animal and Poultry Science, College of Agriculture and Bioresources, 51 Campus Drive, Saskatoon, Saskatchewan S7N 5A8, Canada
| | - Pritpal S Malhi
- Prairie Diagnostic Services , 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| | - Trinita Barboza
- University of Saskatchewan , Western College of Veterinary Medicine, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
| | - Gregg Adams
- University of Saskatchewan , Department of Small Animal Clinical Sciences, Western College of Veterinary Medicine, 52 Campus Drive, Saskatoon, Saskatchewan S7N 5B4, Canada
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