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Academic literature on the topic 'Medical Imaging System'

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Published: 25 May 2024

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Journal articles on the topic "Medical Imaging System"

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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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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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 (March 22, 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 structure of the body in real time and in vivo. It is worth using medical imaging because it is impossible to imagine in real time what is inside the body unless surgery is performed; it is possible to see internal structure through cadaver dissection, but not in vivo. There are several kinds of medical imaging tools, which have been used in musculoskeletal system analysis such as Ultrasonography (US), Magnetic Resonance Imaging (MRI), Diffusion Tensor Imaging (DTI) and Computer Tomography (CT) scans. The work proposed aims to present principle, development and challenges of different medical imaging tools of musculoskeletal system methods. The results of this study show that the choice of imaging device for the musculoskeletal system depends mainly on the motivation, target and the strong points that present in the medical imaging devices.

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

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

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Takano, Hiroaki. "Medical Imaging System Division Activities and Medical DX Promotion." Japanese Journal of Radiological Technology 78, no. 7 (July 20, 2022): 787–90. http://dx.doi.org/10.6009/jjrt.2022-2056.

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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 (August 23, 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 widely used. The achievement of such system mainly depends upon the strength, accuracy and speed of the retrieval systems. Content Based Image Retrieval (CBIR) system is valuable in medical systems as it provides retrieval of the images from the large dataset based on similarities. The aim of this paper is to discuss the various techniques, the assumptions and its scope suggested by various researchers and setup a further roadmap of the research in the field of CBIR system for medical image.

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YAMAMOTO, Seiji. "Autopsy Imaging and Medical Accident Investigation System." JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA 39, no. 7 (November 15, 2019): 748–52. http://dx.doi.org/10.2199/jjsca.39.748.

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Dissertations / Theses on the topic "Medical Imaging System"

Ahsan, Syed Naveed. "Design of a microwave tomography system for medical imaging applications." Thesis, King's College London (University of London), 2018. https://kclpure.kcl.ac.uk/portal/en/theses/design-of-a-microwave-tomography-system-for-medical-imaging-applications(22b1f094-5dec-467d-b646-ad6801d6fbaa).html.

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Microwave tomography (MT) is an emerging imaging modality which aims to recover the dielectric profile of a domain by solving an inverse problem. This is a challenging problem that requires sophisticated algorithms as well as hardware design. This thesis presents a simple and low cost design of a MT system that can operate in the 1-3 GHz frequency range. The hardware prototype of the system is developed from concept to physical realization and is validated against numerical and experimental studies using an in-house inversion algorithm. As with most experimental MT systems presented in the literature, this thesis focuses on cylindrical setups that can be imaged efficiently with a two-dimensional (2-D) inversion algorithm. Using an antenna that can operate efficiently in the desired MT frequency spectrum is essential for any MT system. To this end, the thesis studies several antenna designs and evaluates their performance by calculating return loss and transmission levels in the desired frequency range. Based on this analysis, we select a custom-made printed monopole antenna with very small size which can operate efficiently across the selected frequency range when immersed in various materials that are used as coupling liquids in microwave tomographic systems. The selection of coupling medium is quite vital in the design of a microwave imaging system, which is subject to various signals that obscure the response from the object to be imaged. In particular, multipath signal propagation and surface waves along with other degrading factors such as noise, coupling etc., pose significant challenges to data integrity. We address this issue by studying the performance of the selected antenna (stand-alone and as an array) in various coupling liquids, such as water mixed with glycerine or corn syrup. The aim of this study is to ensure that the sensitivity of our MT system is sufficient to detect weak target responses in a practical measurement with a standard vector network analyzer (VNA), while at the same time effects such as antenna coupling and multi-path propagation are minimised. The thesis also presents a comparison of two possible MT setups: non-immersed con-figuration, where the array of antennas operates in free space but very close to the imaging chamber, and an eight-element antenna array immersed inside different coupling liquids. The array performance in the aforementioned configurations is also experimentally assessed, by acquiring data with a two-port vector network analyser (VNA). In terms of the reconstruction scenarios, we focus on two cases that are studied numerically and experimentally: a target inside a cylinder filled with coupling medium, and the target inside a cylinder filled with a low-loss liquid, surrounded by the coupling liquid where the antennas are immersed. Comparison of our experiments to numerical data suggests that measurements are very sensitive to errors such as cable movements or imprecise spatial positioning of antennas relative to the imaging chamber. To circumvent these issues, we synthesise the array by acquiring data in a bi-static configuration using a robust, mechanically calibrated system which can guarantee accurate antenna positioning. Comparing the measurement data from the bi-static configuration with CST simulation results lead to a much better agreement. This suggests that a significant source of measurement error can be introduced if the multi-static system is not designed with a lot of care on cables positioning. An in-house inversion algorithm is applied to the acquired data to validate our system’s ability to reconstruct cylindrical targets. The cylindrical target is reconstructed successfully using the inversion algorithm with both experimental and simulation data for both imaging scenarios of one and two-layer phantoms. The system is among world’s first experimental imaging systems that can reconstruct targets successfully in the wide frequency range of 1-3 GHz.

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Li, Xiping. "Web-based Medical Imaging Simulation System for Education and Research." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/682.

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In this work, a major effort has been made to establish an Internet accessible system for medical imaging simulation as a convenient service under the cloud computing environment. First, an Internet accessible, medical imaging education platform has been developed. It includes teaching and dynamic assessment tracking system for five commonly used imaging modalities. The system is integrated by the open source MySQL database software that manages updating materials and also tracks students’ learning engagements, which allow the reliability and appropriateness of the on-line teaching material and assessment methods to be optimized. The evaluation results have shown increased learning gains promisingly. Second, a prototype simulation service platform has been established. It is based on a job-oriented work flow to provide different kinds of service to users to perform medical imaging simulation. These simulations not only include the straightforward CT data reconstruction based on Radon transform, but also the sophisticated PET imaging simulation based on GATE as well. The QGATE’s client-server configuration can manage the GATE system to queue and monitor the submitted simulation scripts and return simulation results. The system is suitable for classroom training and easy to use for students or new users to the field of nuclear medicine imaging simulation. Finally, based on the developed simulation platform, a simulation study on PET imaging has been carried out. Event-based dynamic justification method has been tested based on the phantoms generated by NCAT associated with different breathing signals. The results show its potential capability of motion correction for PET data acquisition.

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Wells, Matthew. "An expert system for the visualization of medical image data." Thesis, University of Aberdeen, 1993. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU053302.

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This work starts from the premise that, given the current considerable growth in medical imaging, there is a need to develop a method that allows the information thus gathered to be used to its optimum - not only as a separate data set but also within the context of other related data. From this has grown the concept of a visualization tool which aids the visual comprehension of data present in an image by using information both internal and external to it. As a result, key medical features should be identified, labelled and presented in a clear and meaningful manner. The development of the visualization tool has been achieved through the use of blackboard-based expert system. As well as providing a method for integrating the different models used, the blackboard shell has enabled all aspects of the visualization process to be centrally supervised using a powerful and flexible control mechanism that permits both goal directed and data driven behaviour within the system. The modular approach that has been applied permits the model-based processes of feature recognition to be developed as quasi-independent systems. Two feature recognition models have been developed and these are interfaced to the rest of the tool through a set of feature dependent experts that contain knowledge about how and when to use these models to their optimum. In addition, further modification to the prototype shell used has permitted the development and application of a feature sensitive search strategy. All components of the visualization tool have been tested separately and as a whole using real medical image data from a relatively low resolution source and have been proved to work. The regions and features information applied proved the viability of the overall-performance of the knowledge based feature models and allowed the results to be visually presented in a concise and original manner that provided additional information to an image without loss of the original information.

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Lee, Michael, and Daniel Doonan. "Resolution Analysis and System Integration of a Dynamically Reconfigurable FMCW Medical Ultrasound Imaging System." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581733.

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ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California
This paper describes the system performance analysis of the dynamically reconfigurable FMCW medical ultrasound imaging systems. Full-scale resolution analysis, for mono-static, bi-static, and multi-static data-acquisition formats, and laboratory experiment are included in the analysis.

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Tang, Mei-yee, and 鄧美宜. "Medical imaging: applications of functional magnetic resonance imaging and the development of a magnetic resonancecompatible ultrasound system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37897688.

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Tang, Mei-yee. "Medical imaging : applications of functional magnetic resonance imaging and the development of a magnetic resonance compatible ultrasound system /." View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36749710.

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Zhao, Jing. "Design and evaluation of a screen-CCD imaging system for medical radiology /." Online version of thesis, 1992. http://hdl.handle.net/1850/11253.

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Zheng, Wei. "A Web based distributed medical record and imaging entry and visualization system." [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ana7047/master.PDF.

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Thesis (M.S.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains x, 64 p.; also contains graphics. Vita. Includes bibliographical references (p. 62-63).

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Clark, Christopher Alan. "Magnetic resonance techniques for measurement of water diffusion in the human central nervous system." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286293.

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Lee, Junwon. "The development of a miniature imaging system: Design, fabrication and metrology." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/289892.

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The topic of dissertation is on the development of a miniature imaging device named as multi-modal miniature microscope [a.k.a. 4M Device]. Generally speaking, the development of an optical imaging device involves three main processes: optical design, fabrication and metrology. They are interdependent and often comprise a feedback loop. This dissertation will address these three processes sequentially. The 4M device is miniature compound microscope consisting of miniature optics, electronic imaging device, and mechanical device. Every component is integrated on single silicon substrate. The main purpose of 4M device is to provide an imaging capability for the detection of pre-cancer without biopsy. It uses a novel optics called hybrid lens that is fabricated by using a grayscale photomask and photolithographic technique. The hybrid lens is made of sot-gel material and glass substrate. It has 1.2mm of diameter and its surface is conic. Given lens design constraints from the fabrication, the series of lens design for 4M device are implemented and presented. Each design delivers diffraction-limited imaging performance with N.A ranging from 0.4 to 0.7. The 4M device that is currently built has 0.4 of N.A. The imaging quality assessments of 4M device are also implemented in quantitative and qualitative ways. There are two instruments for imaging quality assessment: Multi-modal imaging testbed for entire imaging device and Shack-Hartmann wavefront sensor for individual element. The qualitative assessment includes multi-modal imaging experiments under different illumination modes. The object is a cervical cancer cell prepared by Dr. Kortum's Group at Univ. of Texas at Austin. The qualitative assessment includes the surface characterization and wavefront measurement of individual optics and the MTF measurement of entire device. The results of imaging quality assessment show the potential of 4M device for medical imaging device. They also explain the degradation of imaging quality.

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Books on the topic "Medical Imaging System"

Wells, S. Zenith Medical Systems Ltd Superix 180 digital imaging system. London: Medical Devices Agency, 1997.

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Lawinski, C. P. Zenith Medical Systems Ltd. Superix 180 digital imaging system. (London): (Medical Devices Agency), 1997.

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T, Bui-Mansfield Liem, and Kline Mitchell J, eds. Musculoskeletal imaging. Philadelphia: Lippincott Williams & Wilkins, 2003.

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1952-, Barkovich A. James, ed. Diagnostic imaging. Salt Lake City, Utah: Amirsys, 2007.

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Diagnostic medical sonography: The vascular system. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins, 2013.

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Diagnostic medical sonography: Abdomen and superficial structures. 3rd ed. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins, 2012.

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P, Frick Mathis, and Feinberg Samuel B, eds. Abdominal imaging: An introduction. Chicago: Year Book Medical Publishers, 1986.

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Helene, Pavlov, ed. Orthopaedist's guide to plain film imaging. New York: Thieme, 1999.

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Malinzak, Michael D. (Michael David), Netter, Frank H. (Frank Henry), 1906-1991, Machado Carlos A. G, and Marzejon Kristen Wienandt, eds. Netter's correlative imaging: Musculoskeletal anatomy. Philadelphia, PA: Elsevier Saunders, 2011.

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C, Roberts Catherine, and Lalaji Anand P, eds. Musculoskeletal imaging: A teaching file. 2nd ed. Philadelphia: Lippincott Williams & Wilkins, 2006.

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Book chapters on the topic "Medical Imaging System"

Bisker, Jeffrey. "Gastrointestinal System." In Clinical Applications of Medical Imaging, 1–16. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_1.

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Bisker, Jeffrey. "Musculoskeletal System." In Clinical Applications of Medical Imaging, 171–84. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_11.

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Bisker, Jeffrey. "Endocrine System." In Clinical Applications of Medical Imaging, 191–206. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_13.

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Bisker, Jeffrey. "Hepatobiliary System." In Clinical Applications of Medical Imaging, 17–35. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_2.

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Bisker, Jeffrey. "Respiratory System." In Clinical Applications of Medical Imaging, 93–103. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_7.

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Bisker, Jeffrey. "Cardiovascular System." In Clinical Applications of Medical Imaging, 105–25. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_8.

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Bisker, Jeffrey. "Central Nervous System." In Clinical Applications of Medical Imaging, 127–56. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_9.

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Chapelon, J. Y. "Pseudo-Random Correlation Imaging and System Characterization." In Progress in Medical Imaging, 227–46. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3866-9_6.

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Bisker, Jeffrey. "Pancreas, Spleen, and Reticuloendothelial System." In Clinical Applications of Medical Imaging, 37–51. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5083-5_3.

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Janssen, Alfred G. "Imaging and Interventional Procedures for the Lacrimal Duct System." In Medical Radiology, 211–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59826-5_15.

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Conference papers on the topic "Medical Imaging System"

Varjonen, Mari, Martti Pamilo, Pirjo Hokka, Riina Hokkanen, and Pekka Strömmer. "Breast positioning system for full field digital mammography and digital breast tomosynthesis system." In Medical Imaging, edited by Jiang Hsieh and Michael J. Flynn. SPIE, 2007. http://dx.doi.org/10.1117/12.698102.

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McInerney, Tim, M. Reza Akhavan Sharif, and Nasrin Pashotanizadeh. "JESS: Java extensible snakes system." In Medical Imaging, edited by J. Michael Fitzpatrick and Joseph M. Reinhardt. SPIE, 2005. http://dx.doi.org/10.1117/12.594574.

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Mumcuoğlu, Erkan, Fatih Nar, Omer Uğur, M. Fani Bozkurt, and Mehmet Aslan. "Image-based retrieval system and computer-aided diagnosis system for renal cortical scintigraphy images." In Medical Imaging, edited by Maryellen L. Giger and Nico Karssemeijer. SPIE, 2008. http://dx.doi.org/10.1117/12.770880.

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Takasu, A., Y. Iwabuchi, M. Kato, S. Arakawa, H. Yasuda, K. Shimada, and T. Kuwabara. "Image quality of the front exposure system and the back exposure system in the indirect (x-ray-to-light conversion) digital radiography system." In Medical Imaging, edited by Jiang Hsieh and Michael J. Flynn. SPIE, 2007. http://dx.doi.org/10.1117/12.706750.

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Ding, Mingyue, Xiaoan Luo, Chao Cai, Chengping Zhou, and Aaron Fenster. "3D ultrasound image guidance system used in RF uterine adenoma and uterine bleeding ablation system." In Medical Imaging, edited by Kevin R. Cleary and Robert L. Galloway, Jr. SPIE, 2006. http://dx.doi.org/10.1117/12.652639.

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Töpfer, Karin, Brian W. Keelan, and Francisca Sugiro. "An advanced system model for the prediction of the clinical task performance of radiographic systems." In Medical Imaging, edited by Yulei Jiang and Berkman Sahiner. SPIE, 2007. http://dx.doi.org/10.1117/12.709570.

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Goryawala, Mohammed, Misael Del Valle, Jiali Wang, James Byrne, Juan Franquiz, and Anthony McGoron. "Low-cost respiratory motion tracking system." In Medical Imaging, edited by Michael I. Miga and Kevin R. Cleary. SPIE, 2008. http://dx.doi.org/10.1117/12.772922.

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Suzuki, H., M. Amano, M. Kubo, Y. Kawata, N. Niki, and H. Nishitani. "Anonymization server system for DICOM images." In Medical Imaging, edited by Steven C. Horii and Katherine P. Andriole. SPIE, 2007. http://dx.doi.org/10.1117/12.709947.

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Xie, Qingguo, Chien-Min Kao, Rongsheng Xia, Xi Wang, Na Li, Xin Jiang, Li Zhi, Zhi Zhang, Zhonghua Deng, and Chin-Tu Chen. "A simple all-digital PET system." In Medical Imaging, edited by Jiang Hsieh and Michael J. Flynn. SPIE, 2007. http://dx.doi.org/10.1117/12.713846.

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Mori, Kensaku, Kazuyoshi Ishitani, Daisuke Deguchi, Takayuki Kitasaka, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, and Hiroshi Natori. "Compensation of electromagnetic tracking system using an optical tracker and its application to bronchoscopy navigation system." In Medical Imaging, edited by Kevin R. Cleary and Michael I. Miga. SPIE, 2007. http://dx.doi.org/10.1117/12.710595.

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Reports on the topic "Medical Imaging System"

Walz-Flannigan, Alisa, John Weiser, Allen Goode, Kevin Junck, Lawrence Tarbox, Jaydev Dave, David Clunie, Roderick McColl, and Steve Langer. Interoperability Assessment for the Commissioning of Medical Imaging Acquisition Systems. AAPM, January 2019. http://dx.doi.org/10.37206/180.

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Thomas Austin, Evan, Paul Kang, Chinedu Mmeje, Joseph Mashni, Mark Brenner, Phillip Koo, and John C Chang. Validation of PI-RADS v2 Scores at Various Non-University Radiology Practices. Science Repository, December 2021. http://dx.doi.org/10.31487/j.aco.2021.02.02.

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Purpose: The purpose of this study was to validate the second version of the Prostate Imaging Reporting and Data System (PI-RADSv2) scores in predicting positive in-bore MRI-guided targeted prostate biopsy results across different non-university related institutions. The study focuses on PI-RADS v2 scoring because during the study period, PI-RADS v2.1 had not been released. Materials and Methods: This was a retrospective review of 147 patients who underwent multiparametric magnetic resonance imaging (mpMRI) of the pelvis followed by in-bore MRI-guided targeted prostate biopsy from December 2014 to May 2018. All lesions on mpMRI were rated according to PI-RADS v2 criteria. PI-RADS v2 scores were then compared to MR-guided biopsy results and pre-biopsy PSA values. Results: Prostate Cancer (PCa) was detected in 54% (80/147) of patients, with more prostate cancer being detected with each subsequent increase in PI-RADS scores. Specifically, biopsy results in patients with PI-RADS 3, 4, and 5 lesions resulted in PCa in 25.6% (10/39), 58.1% (33/55), and 86.0% (37/43) respectively. Clinically significant PCa (Gleason score ≥7) was detected in 17.9% (7/39), 52.7% (29/55), and 72% (31/43) of cases for PI-RADS 3, 4, and 5 lesions respectively. When the PI-RADS scoring and biopsy results were compared across different institutions, there was no difference in the PI-RADS scoring of lesions or in the positive biopsy rates of the lesions. The sensitivity, specificity, PPV, and NPV for PI-RADS 3-4 lesions were also not statistically different across the institutions for detecting Gleason 7 or greater lesions. Conclusion: Our results agree with prior studies that higher PI-RADS scores are associated with the presence of clinically significant PCa and suggest prostate lesions with PI-RADS scores 3-5 have sufficient evidence to warrant targeted biopsy. The comparison of PI-RADS score across different types of non-university practices revealed no difference in scoring and biopsy outcome, suggesting that PI-RADS v2 can be easily applied outside of the university medical center setting. Clinical Relevance: PI-RADS v2 can be applied homogeneously in the non-university setting without significant difference in outcome.

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