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Journal articles on the topic 'Imaging study'

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1

ATKIN, K. L., and M. BALOGUN. "Hysterosalpingography: a resurgent study, 100 years after it was first performed." Imaging 22, no. 1 (May 2013): 90763188. http://dx.doi.org/10.1259/imaging/90763188.

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2

Sun, Haihao, Stephen Pisle, Erin R. Gardner, and William D. Figg, II. "Bioluminescent imaging study." Cancer Biology & Therapy 10, no. 1 (July 2010): 38–43. http://dx.doi.org/10.4161/cbt.10.1.11993.

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3

Brannigan, Paul. "Ultrasound Imaging Study Day." BMUS Bulletin 1, no. 4 (November 1993): 6. http://dx.doi.org/10.1177/1742271x9300100402.

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4

YEH, S. H., R. S. LIU, S. N. LIN, L. C. WU, I. E. CHAO, M. T. CHEN, N. J. PENG, and S. S. CHANG. "Radionuclide imaging clinical study." Nuclear Medicine Communications 12, no. 3 (March 1991): 203–10. http://dx.doi.org/10.1097/00006231-199103000-00005.

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5

Eastman, Peggy. "AHRQ Breast Imaging Study." Oncology Times 28, no. 5 (March 2006): 12. http://dx.doi.org/10.1097/01.cot.0000294741.78256.e7.

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6

Feng, Ting, Yunhao Zhu, Yejing Xie, Dean Ta, Jie Yuan, and Qian Cheng. "Feasibility study for bone health assessment based on photoacoustic imaging method." Chinese Optics Letters 18, no. 12 (2020): 121704. http://dx.doi.org/10.3788/col202018.121704.

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7

Xu, Zhiyuan, Chong Wu, and Wei Pan. "Imaging-wide association study: Integrating imaging endophenotypes in GWAS." NeuroImage 159 (October 2017): 159–69. http://dx.doi.org/10.1016/j.neuroimage.2017.07.036.

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8

Levy, Gerald, Chee Chow, Marco A. Cimmino, and Wolfgang A. Schmidt. "RA Imaging Study Group: Which imaging in rheumatoid arthritis?" Joint Bone Spine 76, no. 4 (July 2009): 438–39. http://dx.doi.org/10.1016/j.jbspin.2009.05.004.

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9

Foust, Alexandra M., Grace S. Phillips, Winnie C. Chu, Pedro Daltro, Karuna M. Das, Pilar Garcia-Peña, Tracy Kilborn, Abbey J. Winant, and Edward Y. Lee. "International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting, and Imaging Study Recommendations." Radiology: Cardiothoracic Imaging 2, no. 2 (April 1, 2020): e200214. http://dx.doi.org/10.1148/ryct.2020200214.

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10

Swain, Sujata, and Paresh Kumar Jena. "Neuro-imaging study in eclampsia." International Journal of Reproduction, Contraception, Obstetrics and Gynecology 8, no. 9 (August 26, 2019): 3550. http://dx.doi.org/10.18203/2320-1770.ijrcog20193774.

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Background: Eclampsia is associated with increased risk of maternal death varying from 1.8 % in developed countries to 14 % in developing countries. Cerebral complications are the major cause of death in eclampsia patients. Eclampsia along with hypercoagulopathy of pregnancy is a high risk fact for patient in respect of development of cerebrovascular thrombosis/haemoorhage. Eclampsia patients have been found to have various CNS pathological conditions amenable to the medical treatment. The aim of the study is to know the neuropathophysiology behind an eclamptic seizure to reduce the morbidity associated with it.Methods: Prospective study design included 50 patients for the study. All patients were admitted in the eclampsia room with h/o convulsions. All patients were put on MgSO4 therapy and anti-hypertensive. Cranial CT scan examinations were performed for all patients within 24hours of last convulsion without intravenous contrast material injection. Time taken to recover from all the clinical symptoms like altered consciousness, defective vision, headache and seizure and the maternal outcome are compared. Results: 62% of patients with eclampsia had detectable pathological changes in CT scan. Cerebral edema was the most common CT scan finding with parietal lobe was the most common site (90.32%) of pathological changes. Mortality rate was high among eclamptic patients with cerebral hemorrhage.Conclusions: CT scan was found to be effective in detecting cerebral pathology in more than half of the eclamptic patients. The most common pathological changes detected are cerebral edema and cerebral infarction. CT scan may not be required for the diagnosis of eclampsia, but it must be used in certain complicated patients to detect cerebral pathology at the earliest so that specific management could be provided to reduce the maternal mortality.
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11

DiOrio, JP, Y. Delmotte, MA Murphy, S. Strathmann, L. Stojanovic, A. Yardimci, J. McCoy, et al. "Correlative Imaging to Study Hemostats." Microscopy and Microanalysis 16, S2 (July 2010): 656–57. http://dx.doi.org/10.1017/s1431927610057909.

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12

Yan, X. H., X. Y. Zhang, C. L. Liu, R. S. Dang, M. Ando, H. Sugiyama, H. S. Chen, and G. H. Ding. "Imaging study on acupuncture points." Journal of Physics: Conference Series 186 (September 1, 2009): 012100. http://dx.doi.org/10.1088/1742-6596/186/1/012100.

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13

Bradley, Kate, and Angie Hibbert. "Online Case Study: Feline imaging." Companion Animal 17, no. 6 (July 2012): 45. http://dx.doi.org/10.1111/j.2044-3862.2012.00211.x.

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14

Marani, S. A., G. C. Canossi, F. A. Nicoli, G. P. Alberti, S. G. Monni, and P. M. Casolo. "Hydatid disease: MR imaging study." Radiology 175, no. 3 (June 1990): 701–6. http://dx.doi.org/10.1148/radiology.175.3.2343117.

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15

Kim, C., M. Li, A. Lowe, N. Venkataramaiah, K. Richmond, J. Kaysen, and F. Cerrina. "DNA microarrays: An imaging study." Journal of Vacuum Science & Technology B: Microelectronics and Nanometer Structures 21, no. 6 (2003): 2946. http://dx.doi.org/10.1116/1.1627802.

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16

Santiago, Fernando Ruiz, Pilar Garófano Plazas, Francisco Ruiz Sanchez, and Juan Miguel Tristán Fernández. "Imaging study of pisotriquetral osteoarthritis." European Journal of Radiology Extra 52, no. 1 (October 2004): 33–36. http://dx.doi.org/10.1016/j.ejrex.2004.07.003.

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17

Namratha, Bathula. "Study on Hyper Spectral Imaging." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 2017–21. http://dx.doi.org/10.22214/ijraset.2021.35403.

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Spectroscopy deals with how light behave in the target and recognize materials bases on their different spectral signatures. Spectrum describes the amount and range of radiation that is emitted, reflected or transmitted from the target. Hyper spectral data acquisition and exploitation by providing imaging sensors and software solutions covering hundreds of spectral bands from UV-VIS to SWIS is used to observe Earth, atmospheric science, space situation awareness etc. The work focuses primarily on hyper spectral imaging, data acquisition methods, Image resolution improvement strategies.
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18

Desoky, Sarah M., Savvas Andronikou, Alan S. Brody, and Franz Wolfgang Hirsch. "Re: “International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Imaging Study Recommendations”." Radiology: Cardiothoracic Imaging 2, no. 3 (June 1, 2020): e200305. http://dx.doi.org/10.1148/ryct.2020200305.

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19

Hibino, Tomoya, Sho Maeda, Yoshio Watanabe, Kazuo Kinoshita, and Masayuki Yamada. "Study of the T2 weighting imaging by echo plannar imaging." Japanese Journal of Radiological Technology 54, no. 1 (1998): 150. http://dx.doi.org/10.6009/jjrt.kj00001351820.

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20

Sukumar, Suresh, and Sushil Yadav. "Study on Sphenoid Sinsuses Variants in Magnetic Resonance Imaging of South Indian Population." International Journal of Scientific Research 1, no. 2 (June 1, 2012): 147–48. http://dx.doi.org/10.15373/22778179/jul2012/51.

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21

Roshan Dsouza, Roshan Dsouza, Hrebesh Subhash Hrebesh Subhash, Kai Neuhaus Kai Neuhaus, Paul M. McNamara Paul M. McNamara, Josh Hogan Josh Hogan, Carol Wilson Carol Wilson, and Martin J. Leahy Martin J. Leahy. "Feasibility study of phase-sensitive imaging based on multiple reference optical coherence tomography." Chinese Optics Letters 15, no. 9 (2017): 090007. http://dx.doi.org/10.3788/col201715.090007.

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22

Horita, Hirosi, Yutaka Takeda, Mie Yasuda, Masahiko Hatanaka, Yoshio Machida, and Fumitoshi Kojima. "Fundament Study of Mixed TR/TI Inversion Recovery MR Imaging." Japanese Journal of Radiological Technology 52, no. 9 (1996): 1182. http://dx.doi.org/10.6009/jjrt.kj00001354924.

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23

Zhang Yu, 张宇, 唐志列 Tang Zhilie, 吴泳波 Wu Yongbo, 谢家兴 Xie Jiaxing, 代芬 Dai Fen, and 赵文锋 Zhao Wenfeng. "Study of Various Photoacoustic Imaging Methods." Laser & Optoelectronics Progress 49, no. 2 (2012): 020004. http://dx.doi.org/10.3788/lop49.020004.

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24

Tinnermann, Alexandra, Christian Büchel, and Julien Cohen-Adad. "Cortico-spinal imaging to study pain." NeuroImage 224 (January 2021): 117439. http://dx.doi.org/10.1016/j.neuroimage.2020.117439.

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25

NISHIDE, HIROKO. "Kansai Study Group of Breast Imaging." Japanese Journal of Radiological Technology 60, no. 10 (2004): 1408–9. http://dx.doi.org/10.6009/jjrt.kj00003326541.

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26

Seunghwan Oh. "Study on Imaging System Using Phenakistoscope." Journal of Digital Design 11, no. 4 (October 2011): 81–89. http://dx.doi.org/10.17280/jdd.2011.11.4.009.

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27

Climen, B., B. Concina, M. A. Lebeault, F. Lépine, B. Baguenard, and C. Bordas. "Ion-imaging study of C60 fragmentation." Chemical Physics Letters 437, no. 1-3 (March 2007): 17–22. http://dx.doi.org/10.1016/j.cplett.2007.02.014.

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28

Sevigny, Jeff, Joyce Suhy, Ping Chiao, Tianle Chen, Gregory Klein, Derk Purcell, Joonmi Oh, Ajay Verma, Mehul Sampat, and Jerome Barakos. "Amyloid pet imaging: prime 1b study." Neurobiology of Aging 39 (March 2016): S25. http://dx.doi.org/10.1016/j.neurobiolaging.2016.01.112.

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29

Bouakaz, Ayache, Boudewijn J. Krenning, Wim B. Vletter, Folkert J. ten Cate, and Nico De Jong. "Contrast superharmonic imaging: A feasibility study." Ultrasound in Medicine & Biology 29, no. 4 (April 2003): 547–53. http://dx.doi.org/10.1016/s0301-5629(03)00012-7.

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30

Gottesman, Rebecca F., Andrea L. C. Schneider, Yun Zhou, Xueqi Chen, Edward Green, Naresh Gupta, David S. Knopman, et al. "The ARIC-PET amyloid imaging study." Neurology 87, no. 5 (July 1, 2016): 473–80. http://dx.doi.org/10.1212/wnl.0000000000002914.

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31

Im, Gijung. "Calcium Imaging for Gentamycin Ototoxicity Study." Otolaryngology–Head and Neck Surgery 143, no. 2_suppl (August 2010): P224. http://dx.doi.org/10.1016/j.otohns.2010.06.476.

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32

Tanaka, Isamu. "Study Group of Kyushu Mammographic Imaging." Japanese Journal of Radiological Technology 63, no. 10 (2007): 1218–19. http://dx.doi.org/10.6009/jjrt.63.1218.

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33

Smith, M., R. Murray, S. Dyson, T. Mair, and J. Boswell. "Magnetic resonance imaging study in horses." Veterinary Record 159, no. 19 (November 4, 2006): 643. http://dx.doi.org/10.1136/vr.159.19.643-a.

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34

Clark, A. S., A. DeMichele, and D. Mankoff. "HER2 imaging in the ZEPHIR study." Annals of Oncology 27, no. 4 (April 2016): 555–57. http://dx.doi.org/10.1093/annonc/mdw033.

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35

Khaleghi, Yasmin, Pierre Dutey-Magni, and Dylan Tsukagoshi. "Study of radiological imaging cost awareness." Clinical Radiology 69 (September 2014): S6—S7. http://dx.doi.org/10.1016/j.crad.2014.05.037.

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36

Hasson, R., and M. A. Zanchi. "Adaptive brain imaging: A simulation study." International Congress Series 1300 (June 2007): 141–44. http://dx.doi.org/10.1016/j.ics.2006.12.053.

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37

Deng, Y. S. "Study of geometric imaging in radiography." NDT International 22, no. 6 (December 1989): 353–58. http://dx.doi.org/10.1016/0308-9126(89)91150-4.

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38

Deng, Y. "Study of geometric imaging in radiography." NDT & E International 22, no. 6 (December 1989): 353–58. http://dx.doi.org/10.1016/0963-8695(89)90586-0.

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39

Deng, Y. S. "Study of geometric imaging in radiography." NDT & E International 25, no. 4-5 (August 1992): 236. http://dx.doi.org/10.1016/0963-8695(92)90287-q.

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40

Malghem, Jacques, Vincent Baudrez, Frédéric Lecouvet, Christian Lebon, Baudouin Maldague, and Bruno Vande Berg. "Imaging study findings in elastofibroma dorsi." Joint Bone Spine 71, no. 6 (November 2004): 536–41. http://dx.doi.org/10.1016/j.jbspin.2004.04.006.

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41

Wendling, Daniel, Eric Toussirot, Gérald Streit, and Clément Prati. "Imaging study scores for ankylosing spondylitis." Joint Bone Spine 73, no. 6 (December 2006): 655–60. http://dx.doi.org/10.1016/j.jbspin.2006.03.007.

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42

Naguib, Abir, Dia Mohasseb, Hussein Sultan, Ahmed Hamimi, and Mayada Fawzy. "Hand osteoarthritis: Clinical and imaging study." Alexandria Journal of Medicine 47, no. 3 (September 1, 2011): 237–42. http://dx.doi.org/10.1016/j.ajme.2011.08.001.

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43

Sugimoto, Tsuneyoshi, Naoki Yoshida, and Motoyoshi Okujima. "Underground Imaging Using Shear Waves –Study on Three Dimentional Underground Imaging–." Japanese Journal of Applied Physics 38, Part 1, No. 5B (May 30, 1999): 3161–62. http://dx.doi.org/10.1143/jjap.38.3161.

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44

Wang, Chengyan, Yan Li, Jun Lv, Jianhua Jin, Xumei Hu, Xutong Kuang, Weibo Chen, and He Wang. "Recommendation for Cardiac Magnetic Resonance Imaging-Based Phenotypic Study: Imaging Part." Phenomics 1, no. 4 (July 28, 2021): 151–70. http://dx.doi.org/10.1007/s43657-021-00018-x.

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45

Seo, Hee, Se Hyung Lee, Jong Hwi Jeong, Chan Hyeong Kim, Ju Hahn Lee, Chun Sik Lee, and Jae Sung Lee. "Feasibility study on hybrid medical imaging device based on Compton imaging and magnetic resonance imaging." Applied Radiation and Isotopes 67, no. 7-8 (July 2009): 1412–15. http://dx.doi.org/10.1016/j.apradiso.2009.02.082.

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46

Anjankar, Vaibhav Prakash, Kanchan P. Wankhede, and Ashutosh S. Mangalgiri. "MORPHOLOGICAL STUDY OF LUNG LOBES AND FISSURES: ANATOMICAL BASIS OF SURGICAL AND IMAGING TECHNIQUES." International Journal of Anatomy and Research 5, no. 1.1 (January 31, 2017): 3447–50. http://dx.doi.org/10.16965/ijar.2016.502.

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47

Lin Li, Lin Li, Qian Li Qian Li, Cuixia Dai Cuixia Dai, Qingliang Zhao Qingliang Zhao, Tianhao Yu Tianhao Yu, Xinyu Chai Xinyu Chai, and and Chuanqing Zhou and Chuanqing Zhou. "Automated segmentation and quantitative study of retinal pigment epithelium cells for photoacoustic microscopy imaging." Chinese Optics Letters 15, no. 5 (2017): 051101–51105. http://dx.doi.org/10.3788/col201715.051101.

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48

Agrawal, Sunil Kumar, Shubhangi Gupta, Ila Pahwa, Sangita Singhal, and Bindu Agrawal. "A Prospective Study of Role of Magnetic Resonance Imaging in Central Nervous System Infections." Asian Journal of Medical Radiological Research 7, no. 2 (July 2019): 165–69. http://dx.doi.org/10.21276/ajmrr.2019.7.2.36.

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49

Winkler, Björn, Karsten Knorr, Andreas Kahle, Peter Vontobel, Eberhard Lehmann, Bernard Hennion, and Guy Bayon. "Neutron imaging and neutron tomography as non-destructive tools to study bulk-rock samples." European Journal of Mineralogy 14, no. 2 (March 22, 2002): 349–54. http://dx.doi.org/10.1127/0935-1221/2002/0014-0349.

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50

Hu, Yang Sheng, Jun Zhang, Rui Cui, Yan Xiang, Lei Ma, San Li Yi, Dang Guo Shao, and Jian Feng He. "An Initial Study for PET Imaging Simulation." Applied Mechanics and Materials 513-517 (February 2014): 612–15. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.612.

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Simulation play an important role in the research of PET/CT imaging technology. In this paper, GATE (Geant4 Application Tomography Emission) software packages and NCAT(dynamic NURBS-based cardiac-torso phantom) were used to simulate GE ST PET/CT imaging. GATE provides abundant of functions to simulate both PET/CT imaging procedure and geometric phantom generation. NCAT can generate voxlised body torso phantom. Three different kinds of digital phantoms were designed and generated for PET/CT imaging simulation. The simulation output of GATE was converted to the data format that the STIR (Software for Tomographic Image Reconstruction) requires to reconstruct image by the OSEM (ordered subsets expectation-maximization) algorithm. The experiment results validate that GATE and NCAT are able to simulate PET/CT imaging.
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