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Journal articles on the topic 'Medical Imaging System'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Jabbar, Shaima Ibraheem, Hasan Shakir Majdi, and Abathar Qahtan Aladi. "Techniques of Musculoskeletal System Imaging." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 04 (2022): 127–42. http://dx.doi.org/10.3991/ijoe.v18i04.28229.

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Musculoskeletal models endow an opportunity to study the movement of the upper limb in vivo. The solid foundation of musculoskeletal model design is inherited from musculoskeletal parameters. Some of these parameters are tendon and muscle fiber length, pennation angle, and muscle volume. It is possible to extract these parameters based on cadaver. However, it is time-consuming and gives a generic statement about the function of the musculoskeletal system, but this is not enough to get accurate data and timely for each patient. Medical imaging has revolutionized visualization of the internal st

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2

Strommer, Gera M., and Uzi Eicher. "Medical imaging and navigation system." Journal of the Acoustical Society of America 124, no. 6 (2008): 3374. http://dx.doi.org/10.1121/1.3047474.

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3

Strommer, Gera, and Uzi Eichler. "Medical imaging and navigation system." Journal of the Acoustical Society of America 128, no. 4 (2010): 2260. http://dx.doi.org/10.1121/1.3500792.

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4

Takimoto, Masao. "MEDICAL DIAGNOSTIC IMAGING SYSTEM, INFORMATION PROCESSING METHOD FOR MEDICAL DIAGNOSTIC IMAGING SYSTEM, ULTRASONIC IMAGING DIAGNOSTIC APPARATUS, AND OPERATION DEVICE." Journal of the Acoustical Society of America 132, no. 3 (2012): 1876. http://dx.doi.org/10.1121/1.4752181.

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5

Andersson, P., S. Montan, and S. Svanberg. "Multispectral system for medical fluorescence imaging." IEEE Journal of Quantum Electronics 23, no. 10 (1987): 1798–805. http://dx.doi.org/10.1109/jqe.1987.1073216.

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6

&NA;. "GE Medical Introduces Cardiovascular Imaging System." INVESTIGATIVE RADIOLOGY 32, no. 8 (1997): 501. http://dx.doi.org/10.1097/00004424-199708000-00011.

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7

Takano, Hiroaki. "Medical Imaging System Division Activities and Medical DX Promotion." Japanese Journal of Radiological Technology 78, no. 7 (2022): 787–90. http://dx.doi.org/10.6009/jjrt.2022-2056.

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8

Todd-Pokropek, A. "Medical imaging." ITNOW 29, no. 3 (1987): 5–17. https://doi.org/10.1093/combul/29.3.5.

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Abstract Medical imaging is an exciting area for the application of computer techniques and there is a reasonable possibility that the whole area of image handling in medicine will become entirely digital. Already many types of medical image are acquired on machines, which are controlled digitally, and formed (ie recconstructed) using digital algorithms. The two areas of the display and interpretation of medical images lend themselves to the use of digital methods. Much medical data is essentially three dimensional, and, at present, the only successful way of presenting such 3-D data is by usi

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9

YAMAMOTO, Seiji. "Autopsy Imaging and Medical Accident Investigation System." JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA 39, no. 7 (2019): 748–52. http://dx.doi.org/10.2199/jjsca.39.748.

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10

Fife, Michael J. "Medical ultrasonic imaging system with dynamic focusing." Journal of the Acoustical Society of America 96, no. 2 (1994): 1225. http://dx.doi.org/10.1121/1.410299.

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11

Erin, Onder, Mustafa Boyvat, Mehmet Efe Tiryaki, Martin Phelan, and Metin Sitti. "Magnetic Resonance Imaging System–Driven Medical Robotics." Advanced Intelligent Systems 2, no. 2 (2020): 1900110. http://dx.doi.org/10.1002/aisy.201900110.

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12

HAYAMI, Akio. "The Integrated Electronic Medical Record System and Function of Medical Imaging Information System." Japanese Journal of Radiological Technology 55, no. 1 (1999): 9–22. http://dx.doi.org/10.6009/jjrt.kj00003110418.

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13

Dobrescu, Lidia, Silviu Stanciu, Cezar Pleșca, and Armand Ropot. "Towards an integrated medical system for radiological medical imaging investigations." Romanian Journal of Military Medicine 120, no. 1 (2017): 5–14. http://dx.doi.org/10.55453/rjmm.2017.120.1.1.

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The continuously increasing number of medical investigations using radiological methods imposes the strong necessity of informing patients about benefits and risks regarding radiation absorbed doses. Tracking the radiation doses absorbed by patients must be a future challenge of any medical system. The effective doses received by patients in many types of medical investigations must be calculated, transformed, recorded and cumulated. Doctors and patients must be very responsible in prescribing or demanding new radiological medical investigations. Radiological standards, legislation, guidelines

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14

Takano, Hiroaki. "Medical Imaging System Division Activities and Utilization of Medical Information." Japanese Journal of Radiological Technology 76, no. 7 (2020): 768–71. http://dx.doi.org/10.6009/jjrt.2020_jjrt_76.7.768.

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15

Powers, Jeff, and Frederick Kremkau. "Medical ultrasound systems." Interface Focus 1, no. 4 (2011): 477–89. http://dx.doi.org/10.1098/rsfs.2011.0027.

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Medical ultrasound imaging has advanced dramatically since its introduction only a few decades ago. This paper provides a short historical background, and then briefly describes many of the system features and concepts required in a modern commercial ultrasound system. The topics addressed include array beam formation, steering and focusing; array and matrix transducers; echo image formation; tissue harmonic imaging; speckle reduction through frequency and spatial compounding, and image processing; tissue aberration; Doppler flow detection; and system architectures. It then describes some of t

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16

Wang, Zhao, Eng Gee Lim, Yujun Tang, and Mark Leach. "Medical Applications of Microwave Imaging." Scientific World Journal 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/147016.

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Ultrawide band (UWB) microwave imaging is a promising method for the detection of early stage breast cancer, based on the large contrast in electrical parameters between malignant tumour tissue and the surrounding normal breast-tissue. In this paper, the detection and imaging of a malignant tumour are performed through a tomographic based microwave system and signal processing. Simulations of the proposed system are performed and postimage processing is presented. Signal processing involves the extraction of tumour information from background information and then image reconstruction through t

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17

Zhang, Bin, Liang Liu, Deyue Meng, and Chin Siang Kue. "Medical imaging technology: Principles and systems." INNOSC Theranostics and Pharmacological Sciences 7, no. 3 (2024): 3360. http://dx.doi.org/10.36922/itps.3360.

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Medical imaging technology is an important course in biomedical engineering. It is a multidisciplinary field integrating advanced technologies from physics, electronic engineering, computer science, engineering mathematics, material science, and fine processing. This course lays the foundation for the implementation of imaging diagnostics essential for medical automation. It enables participants to systematically grasp the fundamental knowledge in medical imaging principles, equipment, and system analysis, as well as to understand the direction of the latest developments in this field. This pa

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18

CHEN Xiao-dong, 陈晓冬, 李明 LI Ming, 周浩 ZHOU Hao, 温世杰 WEN Shi-jie, and 郁道银 YU Dao-yin. "A Digital Ultrasonic Endoscope System for Medical Imaging." ACTA PHOTONICA SINICA 39, no. 4 (2010): 744–47. http://dx.doi.org/10.3788/gzxb20103904.0744.

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19

Besson, Guy M., and Morgan W. Nields. "Integrated x-ray and ultrasound medical imaging system." Journal of the Acoustical Society of America 117, no. 6 (2005): 3366. http://dx.doi.org/10.1121/1.1948311.

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20

Scaringella, M., M. Bruzzi, M. Bucciolini, et al. "A proton Computed Tomography based medical imaging system." Journal of Instrumentation 9, no. 12 (2014): C12009. http://dx.doi.org/10.1088/1748-0221/9/12/c12009.

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21

Doi, Atsuhiro. "First Forum on JIRA Medical Imaging System Industry." Japanese Journal of Radiological Technology 68, no. 2 (2012): 181–82. http://dx.doi.org/10.6009/jjrt.2012_jsrt_68.2.181.

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22

Nanami, Shoji. "Third Forum on JIRA Medical Imaging System Industry." Japanese Journal of Radiological Technology 70, no. 3 (2014): 321–22. http://dx.doi.org/10.6009/jjrt.2014_jsrt_70.3.321.

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23

Takano, Hiroaki, Chikayoshi Yuzawa, and Makoto Hara. "Medical Imaging System Division Activities and Accelerating Innovation." Japanese Journal of Radiological Technology 81, no. 7 (2025): n/a. https://doi.org/10.6009/jjrt.25-0705.

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24

Lim, Hoong-Ta, and Vadakke Matham Murukeshan. "Pushbroom hyperspectral imaging system with selectable region of interest for medical imaging." Journal of Biomedical Optics 20, no. 4 (2015): 046010. http://dx.doi.org/10.1117/1.jbo.20.4.046010.

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25

Zhou, Xiaojuan, and Wenjun Ouyang. "The Application of the Big Data Medical Imaging System in Improving the Medical and Health Examination." Journal of Healthcare Engineering 2021 (September 16, 2021): 1–4. http://dx.doi.org/10.1155/2021/8251702.

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To explore the application effect of the big data medical imaging tertiary diagnostic system in improving the medical and health examination, cases in township health centers were collected by the medical imaging tertiary diagnosis system. Clinical cases examined by the tertiary diagnostic system of big data medical imaging will be set as the observation group. Clinical cases not involved in the tertiary diagnostic system of big data medical imaging were set as the control group. The qualified rate, film positive rate, and film diagnosis accuracy between the two groups are compared, and X-ray

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26

Mikami, Yuji. "MEDICAL IMAGE DIAGNOSTIC SYSTEM, MEDICAL IMAGING APPARATUS, MEDICAL IMAGE STORAGE APPARATUS, AND MEDICAL IMAGE DISPLAY APPARATUS." Journal of the Acoustical Society of America 133, no. 4 (2013): 2520. http://dx.doi.org/10.1121/1.4800169.

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27

Fatima, Shaheen. "Explicit Study on Design and Development of Content-based Image Retrieval in Medical Imaging." Journal of Advanced Research in Electronics Engineering and Technology 08, no. 1&2 (2021): 1–5. http://dx.doi.org/10.24321/2456.1428.202101.

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Digital Image Databases and documentation provide lot of research areas. Significant among them is, the Content Based Image Retrieval (CBIR) research area for manipulating large amount of image databases and archives. The development in the field of medical imaging system has lead industries to conceptualize a complete automated system for the medical procedures, diagnosis, treatment and prediction. There is a continuous research in the area of CBIR systems typically for medical images, which provides a successive algorithm development for achieving generalized methodologies, which could be wi

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28

Fatima, Shaheen. "Explicit Study on Design and Development of Content-based Image Retrieval in Medical Imaging." Journal of Advanced Research in Electronics Engineering and Technology 08, no. 1&2 (2021): 1–5. http://dx.doi.org/10.24321/2456.1428.202101.

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Digital Image Databases and documentation provide lot of research areas. Significant among them is, the Content Based Image Retrieval (CBIR) research area for manipulating large amount of image databases and archives. The development in the field of medical imaging system has lead industries to conceptualize a complete automated system for the medical procedures, diagnosis, treatment and prediction. There is a continuous research in the area of CBIR systems typically for medical images, which provides a successive algorithm development for achieving generalized methodologies, which could be wi

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29

Valluru, Keerthi S., Bhargava K. Chinni, and Navalgund A. Rao. "Photoacoustic Imaging: Opening New Frontiers in Medical Imaging." Journal of Clinical Imaging Science 1 (May 6, 2011): 24. http://dx.doi.org/10.4103/2156-7514.80522.

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In today's world, technology is advancing at an exponential rate and medical imaging is no exception. During the last hundred years, the field of medical imaging has seen a tremendous technological growth with the invention of imaging modalities including but not limited to X-ray, ultrasound, computed tomography, magnetic resonance imaging, positron emission tomography, and single-photon emission computed tomography. These tools have led to better diagnosis and improved patient care. However, each of these modalities has its advantages as well as disadvantages and none of them can reveal all t

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30

Suligoj, Filip, Christoff M. Heunis, Jakub Sikorski, and Sarthak Misra. "RobUSt–An Autonomous Robotic Ultrasound System for Medical Imaging." IEEE Access 9 (2021): 67456–65. http://dx.doi.org/10.1109/access.2021.3077037.

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31

Elmissaoui, Taoufik, Nabila Soudani, and Ridha Bouallegue. "Optimization of the UWB Radar System in Medical Imaging." Journal of Signal and Information Processing 02, no. 03 (2011): 227–31. http://dx.doi.org/10.4236/jsip.2011.23031.

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32

Itaya, Hidehiko. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 78, no. 8 (2022): 912–14. http://dx.doi.org/10.6009/jjrt.2022-2070.

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33

Itaya, Hidehiko. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 77, no. 8 (2021): 896–98. http://dx.doi.org/10.6009/jjrt.2021_jsrt_77.8.896.

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34

Andersson-Engels, Stefan, Jonas Johansson, and Sune Svanberg. "Medical diagnostic system based on simultaneous multispectral fluorescence imaging." Applied Optics 33, no. 34 (1994): 8022. http://dx.doi.org/10.1364/ao.33.008022.

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35

Gaud, Emmanuel. "Medical Imaging System Based On A Targeted Contrast Agent." Journal of the Acoustical Society of America 129, no. 6 (2011): 4101. http://dx.doi.org/10.1121/1.3600978.

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36

Leavitt, Steven C. "Medical ultrasound imaging system with velocity‐dependent rejection filtering." Journal of the Acoustical Society of America 87, no. 6 (1990): 2805. http://dx.doi.org/10.1121/1.399547.

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37

Kasai, Toshifumi, K. Sugimura, K. Morimoto, et al. "Construction of medical imaging network system with internet protocol." Japanese Journal of Radiological Technology 52, no. 9 (1996): 1201. http://dx.doi.org/10.6009/jjrt.kj00001354943.

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38

Itaya, Hidehiko. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 80, no. 8 (2024): 902–4. http://dx.doi.org/10.6009/jjrt.2024-2392.

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39

Choi, Heung-Kook, Se-Myung Park, Jae-Hyo Kang, Sang-Kyoon Kim, and Hang-Mook Choi. "Tele-medical imaging conference system based on the Web." Computer Methods and Programs in Biomedicine 68, no. 3 (2002): 223–31. http://dx.doi.org/10.1016/s0169-2607(01)00174-2.

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40

Dikshit, Aditya, Dawei Wu, Chunyan Wu, and Weizhao Zhao. "An online interactive simulation system for medical imaging education." Computerized Medical Imaging and Graphics 29, no. 6 (2005): 395–404. http://dx.doi.org/10.1016/j.compmedimag.2005.02.001.

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41

Go´mez, E. J., F. del Pozo, J. A. Quiles, et al. "A telemedicine system for remote cooperative medical imaging diagnosis." Computer Methods and Programs in Biomedicine 49, no. 1 (1996): 37–48. http://dx.doi.org/10.1016/0169-2607(95)01706-2.

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42

Nishimura, Masatoshi. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 68, no. 10 (2012): 1428–31. http://dx.doi.org/10.6009/jjrt.2012_jsrt_68.10.1428.

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43

Nishimura, Masatoshi. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 70, no. 8 (2014): 849–51. http://dx.doi.org/10.6009/jjrt.2014_jsrt_70.8.849.

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44

Kajiyama, Koji. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 72, no. 8 (2016): 717–19. http://dx.doi.org/10.6009/jjrt.2016_jsrt_72.8.717.

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45

Kajiyama, Koji. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 73, no. 8 (2017): 714–16. http://dx.doi.org/10.6009/jjrt.2017_jsrt_73.8.714.

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46

Kajiyama, Koji. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 74, no. 8 (2018): 846–48. http://dx.doi.org/10.6009/jjrt.2018_jsrt_74.8.846.

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47

Kajiyama, Koji. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 75, no. 8 (2019): 866–68. http://dx.doi.org/10.6009/jjrt.2019_jsrt_75.8.866.

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48

Itaya, Hidehiko. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 76, no. 8 (2020): 873–75. http://dx.doi.org/10.6009/jjrt.2020_jsrt_76.8.873.

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49

Thomas, Lewis Jones. "Medical diagnositc ultrasound system using contrast pulse sequence imaging." Journal of the Acoustical Society of America 113, no. 6 (2003): 2967. http://dx.doi.org/10.1121/1.1588856.

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50

Itaya, Hidehiko. "Domestic Market Trend for Medical Imaging and Radiological System." Japanese Journal of Radiological Technology 79, no. 8 (2023): 886–88. http://dx.doi.org/10.6009/jjrt.2023-2231.

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