Relevant bibliographies by topics / Absorptiometer

Academic literature on the topic 'Absorptiometer'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Absorptiometer"

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Jin, Han, Yajie Qin, Hao Liang, Lei Wan, Hao Lan, Guoping Chen, Ran Liu, Li-rong Zheng, Patrick Chiang, and Zhi-liang Hong. "A Mobile-Based High Sensitivity On-Field Organophosphorus Compounds Detecting System for IoT-Based Food Safety Tracking." Journal of Sensors 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8797435.

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A mobile-based high sensitivity absorptiometer is presented to detect organophosphorus (OP) compounds for Internet-of-Things based food safety tracking. This instrument consists of a customized sensor front-end chip, LED-based light source, low power wireless link, and coin battery, along with a sample holder packaged in a recycled format. The sensor front-end integrates optical sensor, capacitive transimpedance amplifier, and a folded-reference pulse width modulator in a single chip fabricated in a 0.18 μm 1-poly 5-metal CMOS process and has input optical power dynamic range of 71 dB, sensitivity of 3.6 nW/cm2 (0.77 pA), and power consumption of 14.5 μW. Enabled by this high sensitivity sensor front-end chip, the proposed absorptiometer has a small size of 96 cm3, with features including on-field detection and wireless communication with a mobile. OP compound detection experiments of the handheld system demonstrate a limit of detection (LOD) of 0.4 μmol/L, comparable to that of a commercial spectrophotometer. Meanwhile, an android-based application (APP) is presented which makes the absorptiometer access to the Internet-of-Things (IoT).
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MATSUZAWA, Mitsuhiro, Yukako ASANO, and Minoru MORITA. "Fundamental study on compact absorptiometer for water quality testing." Journal of Advanced Mechanical Design, Systems, and Manufacturing 9, no. 3 (2015): JAMDSM0033. http://dx.doi.org/10.1299/jamdsm.2015jamdsm0033.

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Malezieux, X., J. Rousseau, C. Vasseur, and X. Marchandise. "Bone mineral and fat measurement with a novel dual photon absorptiometer." Medical & Biological Engineering & Computing 31, no. 2 (March 1993): 142–48. http://dx.doi.org/10.1007/bf02446672.

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Waker, A. J., B. Oldroyd, and M. Marco. "The application of microdosimetry in clinical bone densitometry using a dual-photon absorptiometer." British Journal of Radiology 65, no. 774 (June 1992): 523–27. http://dx.doi.org/10.1259/0007-1285-65-774-523.

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Suster, D., B. J. Leury, D. J. Kerton, and F. R. Dunshea. "Repeatability of pig body composition measurements using dual energy X-ray absorptiometry and influence of animal size and subregional analyses." Australian Journal of Experimental Agriculture 46, no. 11 (2006): 1447. http://dx.doi.org/10.1071/ea04279.

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Fifteen Large White × Landrace male pigs were used to investigate the influence of animal size and subregional analysis technique on dual energy X-ray absorptiometry body composition measurements and their repeatability. Pigs were scanned in triplicate with an Hologic QDR4500A X-ray absorptiometer at the beginning of the study (3 weeks of age, liveweight 5–10 kg) and then every 4 weeks until 19 weeks of age. Measurements made by dual energy X-ray absorptiometry included total tissue mass, lean tissue mass, fat tissue mass and bone mineral content. The QDR4500 software allows the scanned image to be divided into head, arms, legs and trunk using an in-built regional analysis grid that contains algorithms unique to each region. Different regional grid manipulations were performed at each scan to evaluate the effects of incorporating subregions into a whole body analysis over time. The dual energy X-ray absorptiometry measurements were highly repeatable and measurement repeatability improved as animal size increased. When results were averaged across regional grid placement and scan time, the most repeatable measurement was total tissue mass (CV = 0.21%), followed by lean tissue mass (CV = 0.59%), bone mineral content (CV = 2.50%) and fat tissue mass (CV = 2.71%). The placement of the regional analysis grid influenced the repeatability of all measurements except for total weight; however, this influence reduced with increasing animal size. It is recommended that the body of the scan image be positioned in the arm region and the head in the head region of the software regional analysis grid to measure whole body composition in pigs because it provides the most repeatable measure overall. Animal placement into the trunk region or utilising the full regional analysis option as specified by the manufacturer provided less repeatable results.
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Suster, D., B. J. Leury, D. J. Kerton, and F. R. Dunshea. "Dual energy X-ray absorptiometry predicts the effects of dietary protein on body composition of pigs." Australian Journal of Experimental Agriculture 46, no. 11 (2006): 1439. http://dx.doi.org/10.1071/ea04266.

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The present study investigated the potential of dual energy X-ray absorptiometry to determine the effect of dietary protein on live pig body composition compared with the standard methods. The experiment utilised 48 Large White × Landrace gilts, stratified on liveweight at 17 weeks of age (initial liveweight about 60 kg), and allocated within strata to diets containing either 85 or 100% of dietary protein requirements. The diets were fed ad libitum and contained 14.6 or 16.7% protein, respectively. Pigs were housed individually to allow weekly measurement of feed intake and liveweight. A Hologic QDR4500A dual energy X-ray absorptiometer was used to determine lean, fat and ash composition of pigs initially and 4 weeks later at the end of the experiment. Daily gain was increased by about 200 g in pigs fed the protein-adequate diet, but feed intake was not affected. Therefore, pigs fed adequate protein had a lower feed conversion ratio (2.92 v. 3.52 g/g, P<0.001). Feeding the protein-adequate diet increased lean deposition by about 150 g/day (577 v. 429 g/day, P<0.001) and ash deposition by about 4 g/day (28.7 v. 25.0 g/day, P<0.001), but did not affect fat accretion. This resulted in carcasses with a higher lean content (54.0 v. 50.7 kg, P<0.001) and ash content (2.35 v. 2.28 kg, P<0.05) but unaltered fat content. Therefore, an inadequate level of dietary protein leads to suboptimal growth in lean tissue and bone mineral, with no pronounced effect on fat. These observations were substantiated by chemical analysis and available corrective equations were useful in correcting differences between dual energy X-ray absorptiometry outputs and chemical values. After correction, dual energy X-ray absorptiometry estimates differed less than 5% from the chemical values for lean, protein, water and ash and 10% for lipid. In addition, reduced standard error of the differences around most dual energy X-ray absorptiometry measurements, relative to chemical analysis, allowed small changes in body composition to be detected with increased confidence. These data support the efficacy of using dual energy X-ray absorptiometry in nutritional studies of pigs.
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Kaminsky, Leonard A., C. Ozemek, K. L. Williams, and W. Byun. "Precision of total and regional body fat estimates from dualenergy X-ray absorptiometer measurements." Journal of nutrition, health & aging 18, no. 6 (January 25, 2014): 591–94. http://dx.doi.org/10.1007/s12603-014-0012-8.

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Meier, Nathan, Yang Bai, and Duck-chul Lee. "Validation Of A Multi-electrode Bioelectrical Impedance Analyzer With A Dual-energy X-ray Absorptiometer." Medicine & Science in Sports & Exercise 49, no. 5S (May 2017): 1050. http://dx.doi.org/10.1249/01.mss.0000519883.22275.c8.

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Madsen, Ole Rintek, Jens-Erik Beck Jensen, and Ole Helmer S�rensen. "Validation of a dual energy X-ray absorptiometer: measurement of bone mass and soft tissue composition." European Journal of Applied Physiology 75, no. 6 (May 1, 1997): 554–58. http://dx.doi.org/10.1007/s004210050204.

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Madsen, Ole Rintek, Jens-Erik Beck Jensen, and Ole Helmer S�rensen. "Validation of a dual energy X-ray absorptiometer: measurement of bone mass and soft tissue composition." European Journal of Applied Physiology 77, no. 1-2 (December 1, 1997): 192. http://dx.doi.org/10.1007/s004210050320.

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Dissertations / Theses on the topic "Absorptiometer"

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Durkin, Jennifer Dowling James. "Development of a geometric modelling approach for human body segment inertial parameter estimation /." *McMaster only, 2003.

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Khoo, Benjamin Cheng Choon. "Clinical and phantom-based studies of the validity and value of quantitative radiological hip structural analysis." University of Western Australia. School of Surgery and Pathology, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0189.

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[Truncated abstract] Areal bone mineral density (BMD) is measured routinely in the clinic by a quantitative radiological technique, dual-energy X-ray absorptiometry (DXA). BMD is used widely to assess non-invasively but indirectly the mechanical fragility of bone and consequently is able to predict fracture risk. While BMD correlates well with in vitro measurements of bone strength it does not directly measure a mechanical property; half of incident minimally traumatic fractures in women occur with BMD values above the World Health Organisation defined threshold for osteoporosis. This arises partly because the mechanical strength of bone is dependent on its structural geometry and material strength as well as bone mineral mass. Essentially, bones fracture when load stresses exceed the mechanical capacity of the material to withstand them. The structural geometry (i.e., the amount of bone tissue and its complex three-dimensional arrangement within the macroscopic bone envelope) defines the stresses produced by a given load, while the intrinsic load capacity of the material is defined by the composition and microstructure of the bone tissue itself. Hip structural analysis (HSA) is a technique that elucidates the structural geometric component of bone strength; essentially combining information available from conventional DXA images of the proximal femur with a biomechanical beam model based on the stresses arising in a combination of pure bending and axial compression. A version of HSA has recently been released commercially, and has obtained US Food and Drug Administration approval for its clinical application. ... Given the acknowledged limitations of the HSA method when applied to 2-D projection images, a 3-D approach to structural geometry, using imaging modalities such as pQCT and QCT or a recently introduced version of DXA that mimics QCT, is indicated for the future. With that in mind and the possibility of the anthropometric phantom being adopted for future accuracy and precision assessments, improvements in the design of this phantom are recommended. Studies to better understand and verify Contents v the relevance of the 'local buckling' phenomenon as a structural geometric factor in the genesis of macro-fractures are also recommended. In summary, it is essential that superior (compared to BMD) non-invasively determined clinical predictors of bone fragility leading to fracture be investigated. Structural geometric variables are potential candidates. This has led to consideration of; (i) the need to progress beyond BMD for a more sensitive and specific bone strength measurement; (ii) theoretical advantages of structural geometry over BMD; (iii) limitations of the current HSA technique based on DXA, including those introduced by its restrictive assumptions; (iv) the value of HSA in longitudinal studies, exemplified by the 'normal' but rapid skeletal changes seen in human lactation, with possible implications for an analogous study of the menopause; and (v) an investigation, using a custom-designed anthropometric phantom, of the adaptation of HSA to certain emerging imaging modalities and methods able to resolve bone structural geometry in three dimensions.
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Alkhalifah, K. "Applications of dual energy X-ray absorptiometry." Thesis, Swansea University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635758.

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Dual energy x-ray absorptiometry is the current technique used for bone mineral density measurements and recently for soft tissue analysis. The technique of dual energy absorptiometry was investigated as a method of measuring heavy elements induced or found in human body, in particular platinum and iodine, by using two energies, one energy below the k-edge and the other above it. The accuracy of iodine measurement was predicted to be 3.2, which is comparable with other methods. The discrimination between different tissue types was investigated by building a phantom and scanning it at 180 different angles using the Hologic QDR-1000/W system. The raw data files were analysed and tomographically reconstructed to produce 6 different axial images from beams with different energy spectra, produced by a combination of two x-ray voltages and three beam filters. The final part of the thesis concerns a new method to solve the beam hardening problem. A new exponential beam hardening formula was derived first by simulation work and then tested on real phantom. The measured attenuations were combined in a polynomal (quadratic) expression, which was optimised using a least squares program, and separation between different tissue components was successfully carried out on the data from the Hologic system. Measuring the bone density with the new procedure can achieve an r.m.s error of 0.26% over a wide range of body composition, and a maximum error of 1.5%, which represents a significant improvement over previous published work.
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Landström, Eric. "Material Identification using Multiple X-Ray Absorptiometry." Thesis, KTH, Numerisk analys, NA, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168573.

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Dual Energy X-ray Absorptiometry is a proven technique used to identify unknown materials, by measuring the transmission of two X-ray energies. This technique is limited to measuring a single chemical quantity and is not able to handle more chemical variation. To overcome this, one approach is to use multiple-energies to resolve more information. The differences in the processes controlling the Xray transmission limits the theoretical resolution capability to three characteristics. Of these three, one is dependent on the sample geometry and density. The remaining two are purely chemical characteristics and are investigated in this thesis. It is found that using X-ray photon energies in the range 20-90 keV, it is possible to measure one chemical characteristic to a high precision. Two chemical characteristics can be measured in limited circumstances and even though the precision is good, the measurement is prone to inaccuracies in machine modeling and stability. A two step method is defined, first finding an approximation of the X-ray spectra and then reconstructing the attenuation coefficient of the sample to a high precision (< 0.2%) using a robust low-rank basis for the characteristics.
DXA (Dual Energy X-ray Absorptiometry) är en teknik för att identifiera okända material genom att mäta transmissionen för två olika röntgenenergier. Den här metoden är begränsad till att mäta en kemiskt variation. Vid mer än en varierande komponent, kan MXA (Multiple Energy X-ray Absorptiometry) användas för att utröna mer information. MXA är dock begränsat av de små skillnaderna i de fysikaliska processerna som styr röntgenfotonernas interaktion med materialet. Teoretiskt är det bara möjligt att mäta tre egenskaper med MXA, varav en är beroende på provets geometri och densitet. De kvarvarande kemiska egenskaper är utforskade i den här rapporten. Det är möjligt att mäta en kemisk material egenskap med hög precision med röntgen energier mellan 20 - 90 keV. Två kemiska egenskaper går att mäta i vissa fall, dock är precisionen sämre och mätningen är känslig för fel i modelleringen av maskinen och mätningens stabilitet. I den tvåstegs metod som används uppskattas först de använda röntgenspectra och sedan återskapas provets attenueringskoefficient med en hög precision (< 0.2 %) med en lågranks bas av attenueringsegenskaperna.
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Steel, Susan A. "Standards in clinical dual energy X-ray absorptiometry." Thesis, University of South Wales, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521629.

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Roussel, Nicolas. "Denoising of Dual Energy X-ray Absorptiometry Images and Vertebra Segmentation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233845.

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Dual Energy X-ray Absorptiometry (DXA) is amedical imaging modality used to quantify bone mineral density and to detect fractures. It is widely used due to its cheap cost and low radiation dose, however it produces noisy images that can be difficult to interpret for a human expert or a machine. In this study, we investigate denoising on DXA lateral spine images and automatic vertebra segmentation in the resulting images. For denoising, we design adaptive filters to avoid the frequent apparition of edge artifacts (cross contamination), and validate our results with an observer experiment. Segmentation is performed using deep convolutional neural networks trained on manually segmented DXA images. Using few training images, we focus on depth of the network and on the amount of training data. At the best depth, we report a 94 % mean Dice on test images, with no post-processing. We also investigate the application of a network trained on one of our databases to the other (different resolution). We show that in some cases, cross contamination can degrade the segmentation results and that the use of our adaptive filters helps solving this problem. Our results reveal that even with little data and a short training, neural networks produce accurate segmentations. This suggests they could be used for fracture classification. However, the results should be validated on bigger databases with more fracture cases and other pathologies.
Dual Energy X-ray Absorptiometry (DXA) är en medicinsk bildbehandlingmodalitetsom används för att kvantifiera bentäthet och upptäckafrakturer. Det används i stor utsträckning tack vare sin låga kostnadoch sin låga exponering, men producerar brusiga bilder som kanvara svåra att förstå för en mänsklig expert eller en maskin. I den här studien undersöker vi avbrusning i DXA i laterala ryggradsbilderoch automatisk segmentering av ryggkotorna i de resulterandebilderna. För avbrusning skapar vi adaptiva filter för att förhindrafrekventa kantartefakter (korskontaminering), och validerar våraresultat med ett observatörsexperiment. Segmentering utförs medanvändning av djupa konvolutionella neuronnät tränade på manuelltsegmenterade DXA-bilder. Med få träningsbilder fokuserar vi pånätverksdjup och mängden träningsdata. På bästa djup rapporterarvi 94% medel-Dice på testbilder utan efterbehandling. Vi undersökerockså tillämpning av ett nätverk tränat på en av våra databaser till enannan databas (annan upplösning). Vi visar att i vissa fall kan korskontamineringförsämra segmenteringsresultatet och att användningenav våra adaptiva filter hjälper till att lösa problemet. Våra resultatvisar att även med få data och korta träningar så producerar neuuronnätkor- rekta segmenteringar. Detta tyder på att de kunde användasför frak- turklassificering. Dock, resultaten bör valideras på större databasermed fler fall av frakturer och andra patologier.
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Almqvist, Heléne. "Studies on root hard-tissue demineralization and remineralization measured by ¹²⁵I absorptiometry." Stockholm : Karolinska Institutet, 1993. http://catalog.hathitrust.org/api/volumes/oclc/29572338.html.

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Gulam, Misbah. "Phalangeal bone mineral density measurements using x-ray absorptiometry and computed tomography." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0017/MQ58041.pdf.

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Skipper, Julie A. "Feasibility of Radiographic Absorptiometry of the Mandible as an Osteoporosis Screening Method." Wright State University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=wright1057695994.

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Salamat, Mohammad Reza. "Development of dual energy X-ray absorptiometry techniques for bone mineral measurement." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/22614.

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Books on the topic "Absorptiometer"

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Erlichman, Martin. Radiographic absorptiometry for measuring bone mineral density. Rockville, MD: U.S. Dept. of Health and Human Services, Public Health Service, 1988.

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Erlichman, Martin. Dual photon absorptiometry for measuring bone mineral density. Rockville, MD: National Center for Health Services Research and Health Care Technology Assessment, U.S. Dept. of Health and Human Services, Public Health Service, 1987.

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Erlichman, Martin. Single photon absorptiometry for measuring bone mineral density. Rockville, MD: National Center for Health Services Research and Health Care Technology Assessment, U.S. Dept. of Health and Human Services, Public Health Service ; Springfield, VA : Available from National Technical Information Service, 1986.

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Wahner, Heinz W. The evaluation of osteoporosis: Dual energy x-ray absorptiometry in clinical practice. London: Martin Dunitz, 1994.

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National Center for Health Statistics (U.S.). Body composition data for individuals 8 years of age and older: U.S. population, 1999-2004. Hyattsville, MD: U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2010.

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Geusens, Piet. Photon absorptiometry in osteoporosis: Bone mineral measurements in animal models and in humans. Leuven: Katholieke Universiteit Leuven, Fakulteit Geneeskunde, Departement Reumatologie, Artritis en Metabole Botziekten Onderzoekseenheid, 1992.

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Atomic and molecular photoabsorption: Absolute total cross sections. San Diego, CA: Academic Press, 2002.

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Djokoto, Christina Camille. The optimization of a mechanical response tissue analyzer (MRTA) and a descriptive comparison with dual energy X-ray absorptiometry and quantitative ultrasound. Ottawa: National Library of Canada, 2002.

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Licata, Angelo A. A DXA primer for the practicing clinician: A case-based manual for understanding and interpreting bone densitometry. New York: Springer, 2014.

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Bonnick, Sydney Lou. Bone densitometry in clinical practice: Application and interpretation. 2nd ed. Totowa, N.J: Humana Press, 2004.

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Book chapters on the topic "Absorptiometer"

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Tothill, P. "Photon Absorptiometry." In Imaging Techniques in Orthopaedics, 251–57. London: Springer London, 1989. http://dx.doi.org/10.1007/978-1-4471-1640-0_18.

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Huddleston, Alan L. "Single-Photon Absorptiometry." In Quantitative Methods in Bone Densitometry, 33–55. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1725-8_3.

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Huddleston, Alan L. "Dual-Photon Absorptiometry." In Quantitative Methods in Bone Densitometry, 57–83. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1725-8_4.

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van Kuijk, C., and H. K. Genant. "Radiogrammetry and Radiographic Absorptiometry." In Bone Densitometry and Osteoporosis, 291–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80440-3_14.

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Mazess, R. B., H. S. Barden, and J. A. Hanson. "Body Composition by Dual-Photon Absorptiometry and Dual-Energy X-Ray Absorptiometry." In In Vivo Body Composition Studies, 427–32. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1473-8_60.

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Adams, J. E. "Dual-Energy X-Ray Absorptiometry." In Radiology of Osteoporosis, 87–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05235-8_6.

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Adams, J. E. "Dual-Energy X-Ray Absorptiometry." In Osteoporosis and Bone Densitometry Measurements, 101–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/174_2012_789.

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Whitehouse, Richard. "Dual Energy X-Ray Absorptiometry (DXA)." In Imaging and Technology in Urology, 19–22. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2422-1_5.

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Slater, Gary, Alisa Nana, and Ava Kerr. "Imaging Method: Dual-Energy X-Ray Absorptiometry." In Best Practice Protocols for Physique Assessment in Sport, 153–67. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5418-1_13.

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Adams, J. E. "Single- and Dual-Energy: X-Ray Absorptiometry." In Bone Densitometry and Osteoporosis, 305–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80440-3_15.

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Conference papers on the topic "Absorptiometer"

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Malezieux, Rousseau, Vasseur, and Marchandise. "Simultaneous Measurements of the Bone Mineral Content and of the Fat Mass Using an Automatically Controlled Speed Dual Photon Absorptiometer." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.590156.

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Malezieux, X., J. Rousseau, C. Vasseur, and X. Marchandise. "Simultaneous measurements of the bone mineral content and of the fat mass using an automatically controlled speed dual photon absorptiometer." In 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5762050.

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Wear, James, Michael Buchholz, Randall K. Payne, Darrell Gorsuch, Joseph Bisek, David L. Ergun, Joe Grosholz, and Ron Falk. "CZT detector for dual-energy x-ray absorptiometry (DEXA)." In International Symposium on Optical Science and Technology, edited by F. P. Doty, H. Bradford Barber, Hans Roehrig, and Edward J. Morton. SPIE, 2000. http://dx.doi.org/10.1117/12.410561.

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Swarnakar, Vivek, Bo Fan, and Harry K. Genant. "Automated radiographic absorptiometry system for quantitative rheumatoid arthritis assessment." In Medical Imaging 2001, edited by Milan Sonka and Kenneth M. Hanson. SPIE, 2001. http://dx.doi.org/10.1117/12.431086.

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Arash Darafsheh, Alireza Kamali-Asl, and S. Mahmoud Reza Aghamiri. "Monte Carlo modeling of a triple photon energy absorptiometry technique." In 2007 IEEE Nuclear Science Symposium Conference Record. IEEE, 2007. http://dx.doi.org/10.1109/nssmic.2007.4436909.

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Kirilov, Nikola K., and Elena K. Kirilova. "Classifying Dual-Energy X-ray Absorptiometry Images Using Machine Learning." In 2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST). IEEE, 2021. http://dx.doi.org/10.1109/icest52640.2021.9483559.

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7

"A wide fan-beam dual-energy X-ray absorptiometry for forearm." In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE, 2013. http://dx.doi.org/10.1109/nssmic.2013.6829162.

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Kipper, M., M. Marcoux, I. Andretta, and C. Pomar. "Calibration of dual-energy x-ray absorptiometry estimating pig body composition." In 6th EAAP International Symposium on Energy and Protein Metabolism and Nutrition. The Netherlands: Wageningen Academic Publishers, 2019. http://dx.doi.org/10.3920/978-90-8686-891-9_132.

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Lautier, A., T. Dehe, and D. Gaillard. "In line measurements of blood gases during ECC-fluorescence vs. absorptiometry." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.95085.

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Faisal, Tayyaba, Sumaira Kausar, Maryam K. Multani, and Mehwish Parevez. "Automatic Vertebra Fracture & Classification using Dual Energy X-Ray Absorptiometry." In 2021 IEEE International Conference on Health, Instrumentation & Measurement, and Natural Sciences (InHeNce). IEEE, 2021. http://dx.doi.org/10.1109/inhence52833.2021.9537263.

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Reports on the topic "Absorptiometer"

1

Aparo, M. Three-energy gamma-ray absorptiometer (TEGA) for nondestructive assay of plutonium and uranium in solution. Office of Scientific and Technical Information (OSTI), January 1986. http://dx.doi.org/10.2172/6143347.

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Maskarinec, Gertraud. Breast Density Assessment by Dual Energy X-ray Absorptiometry in Women and Girls. Fort Belvoir, VA: Defense Technical Information Center, July 2008. http://dx.doi.org/10.21236/ada493870.

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Maskarinec, Gertraud. Breast Density Assessment by Dual Energy X-ray Absorptiometry in Women and Girls. Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada542911.

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Baldwin, C. A., and Tim S. Stahly. Dual-Energy X-Ray Absorptiometry for Determination of Body Composition in a Porcine Model of Obesity Development. Ames (Iowa): Iowa State University, January 2005. http://dx.doi.org/10.31274/ans_air-180814-1087.

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Xiong, Zhencheng, Ping Yi, and Chi Zhang. Evaluation of the Efficacy of Stem Cell Therapy in Ovariectomized Osteoporotic Rats Based on Micro-CT and Dual-energy X-ray Absorptiometry: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2021. http://dx.doi.org/10.37766/inplasy2021.5.0017.

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