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Journal articles on the topic 'Imaging systems in medicine'

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Author: Grafiati

Published: 4 June 2021

Last updated: 2 March 2023

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1

Foppen, Wouter, Nelleke Tolboom, and Pim A. de Jong. "Systems Radiology and Personalized Medicine." Journal of Personalized Medicine 11, no. 8 (August 4, 2021): 769. http://dx.doi.org/10.3390/jpm11080769.

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2

Hacker, Marcus, Rodney J. Hicks, and Thomas Beyer. "Applied Systems Biology—embracing molecular imaging for systemic medicine." European Journal of Nuclear Medicine and Molecular Imaging 47, no. 12 (April 7, 2020): 2721–25. http://dx.doi.org/10.1007/s00259-020-04798-8.

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3

Line, Bruce R. "Nuclear medicine information management systems." Seminars in Nuclear Medicine 20, no. 3 (July 1990): 242–69. http://dx.doi.org/10.1016/s0001-2998(05)80033-9.

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4

Stephane Mananga, Eugene. "Recent Advances of Radiation Detector Systems in Nuclear Medicine Imaging." JOURNAL OF BIOINFORMATICS AND PROTEOMICS REVIEW 2, no. 2 (2016): 169–71. http://dx.doi.org/10.15436/2381-0793.16.1183.

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5

Lewellen, Tom K., Don DeWitt, Robert S. Miyaoka, and Scott Hauck. "A Building Block for Nuclear Medicine Imaging Systems Data Acquisition." IEEE Transactions on Nuclear Science 61, no. 1 (February 2014): 79–87. http://dx.doi.org/10.1109/tns.2013.2295037.

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6

Zaidi, Habib. "Multimodality molecular imaging: Paving the way for personalized medicine." Medical Technologies Journal 1, no. 3 (September 17, 2017): 44. http://dx.doi.org/10.26415/2572-004x-vol1iss3p44-46.

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Early diagnosis and therapy increasingly operate at the cellular, molecular or even at the genetic level. As diagnostic techniques transition from the systems to the molecular level, the role of multimodality molecular imaging becomes increasingly important. Positron emission tomography (PET), x-ray CT and MRI are powerful techniques for in vivo imaging. The inability of PET to provide anatomical information is a major limitation of standalone PET systems. Combining PET and CT proved to be clinically relevant and successfully reduced this limitation by providing the anatomical information required for localization of metabolic abnormalities. However, this technology still lacks the excellent soft-tissue contrast provided by MRI. Standalone MRI systems reveal structure and function, but cannot provide insight into the physiology and/or the pathology at the molecular level. The combination of PET and MRI, enabling truly simultaneous acquisition, bridges the gap between molecular and systems diagnosis. MRI and PET offer richly complementary functionality and sensitivity; fusion into a combined system offering simultaneous acquisition will capitalize the strengths of each, providing a hybrid technology that is greatly superior to the sum of its parts. This talk also reflects the tremendous increase in interest in quantitative molecular imaging using PET as both clinical and research imaging modality in the past decade. It offers a brief overview of the entire range of quantitative PET imaging from basic principles to various steps required for obtaining quantitatively accurate data from dedicated standalone PET and combined PET/CT and PET/MR systems including algorithms used to correct for physical degrading factors and to quantify tracer uptake and volume for radiation therapy treatment planning. Future opportunities and the challenges facing the adoption of multimodality imaging technologies and their role in biomedical research will also be addressed.

7

Lee, Daniel Y., and King C. P. Li. "Systems Diagnostics: The Systems Approach to Molecular Imaging." American Journal of Roentgenology 193, no. 2 (August 2009): 287–94. http://dx.doi.org/10.2214/ajr.09.2866.

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8

Duby, Tomas, Noam Kaplan, and Yuval Zur. "4749948 NMR imaging systems." Magnetic Resonance Imaging 7, no. 4 (July 1989): VI—VII. http://dx.doi.org/10.1016/0730-725x(89)90516-x.

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9

&NA;. "3M DryView Laser Imaging Systems." Investigative Radiology 31, no. 6 (June 1996): 385. http://dx.doi.org/10.1097/00004424-199606000-00015.

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10

Sivananthan, U. M. "Medical imaging systems techniques and applications; cardiovascular systems." Radiography 5, no. 2 (May 1999): 120. http://dx.doi.org/10.1016/s1078-8174(99)90044-5.

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11

&NA;. "3M Medical Imaging Systems, Siemens Sign Qualification Agreement for 3M Dry View Laser Imaging Systems." Investigative Radiology 31, no. 4 (April 1996): 248. http://dx.doi.org/10.1097/00004424-199604000-00013.

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12

Bilgen, Mehmet. "Feasibility and Merits of Performing Preclinical Imaging on Clinical Radiology and Nuclear Medicine Systems." International Journal of Molecular Imaging 2013 (December 30, 2013): 1–8. http://dx.doi.org/10.1155/2013/923823.

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Aim. Researchers have limited access to systems dedicated to imaging small laboratory animals. This paper aims to investigate the feasibility and merits of performing preclinical imaging on clinical systems. Materials and Methods. Scans were performed on rat and mouse models of diseases or injuries on four radiology systems, tomosynthesis, computed tomography (CT), positron emission tomography/computed tomography (PET-CT), and Magnetic Resonance Imaging (MRI), based on the availability at the author’s institute. Results. Tomosysthesis delineated soft tissue anatomy and hard tissue structure with superb contrast and spatial resolution at minimal scan time and effort. CT allowed high resolution volumetric visualization of bones. Molecular imaging with PET was useful for detecting cancerous tissue in mouse but at the expense of poor resolution. MRI depicted abnormal or intervened tissue at quality and resolution sufficient for experimental studies. The paper discussed limitations of the clinical systems in preclinical imaging as well as challenges regarding the need of additional gadgets, modifications, or upgrades required for longitudinally scanning animals under anesthesia while monitoring their vital signs. Conclusion. Clinical imaging technologies can potentially make cost-effective and efficient contributions to preclinical efforts in obtaining anatomical, structural, and functional information from the underlying tissue while minimally compromising the data quality in certain situations.

13

Chandra, Ramesh. "4818943 Phantom for imaging systems." Magnetic Resonance Imaging 7, no. 5 (September 1989): IV. http://dx.doi.org/10.1016/0730-725x(89)90428-1.

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14

Punchard, William F., and Robert D. Pillsbury. "4733189 Magnetic resonance imaging systems." Magnetic Resonance Imaging 7, no. 3 (May 1989): III. http://dx.doi.org/10.1016/0730-725x(89)90567-5.

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15

Bath, M. "Evaluating imaging systems: practical applications." Radiation Protection Dosimetry 139, no. 1-3 (February 10, 2010): 26–36. http://dx.doi.org/10.1093/rpd/ncq007.

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16

JARRITT, P. H., and P. D. ACTON. "PET imaging using gamma camera systems." Nuclear Medicine Communications 17, no. 9 (September 1996): 758–66. http://dx.doi.org/10.1097/00006231-199609000-00006.

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17

Evans, A. "Breast Imaging Reporting and Data Systems." Breast 3, no. 2 (June 1994): 132. http://dx.doi.org/10.1016/0960-9776(94)90019-1.

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18

Rivers, J., and I. Smith. "Performance Variation in Cardiac Imaging Systems." Heart, Lung and Circulation 16 (January 2007): S52—S53. http://dx.doi.org/10.1016/j.hlc.2007.06.135.

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19

Bamber, Jeffrey C. "Photoacoustic imaging in cancer medicine and research: Systems, results and future directions." Journal of the Acoustical Society of America 145, no. 3 (March 2019): 1777. http://dx.doi.org/10.1121/1.5101505.

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20

Schillaci, Orazio, and Giovanni Simonetti. "Fusion Imaging in Nuclear Medicine—Applications of Dual-Modality Systems in Oncology." Cancer Biotherapy and Radiopharmaceuticals 19, no. 1 (February 2004): 1–10. http://dx.doi.org/10.1089/108497804773391621.

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21

Cicinelli, Maria Vittoria, Michele Cavalleri, Maria Brambati, Rosangela Lattanzio, and Francesco Bandello. "New imaging systems in diabetic retinopathy." Acta Diabetologica 56, no. 9 (June 15, 2019): 981–94. http://dx.doi.org/10.1007/s00592-019-01373-y.

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22

Ferrari, Victor A., Brian Whitman, James C. Blankenship, Matthew J. Budoff, Marco Costa, Neil J. Weissman, and Manuel D. Cerqueira. "Cardiovascular Imaging Payment and Reimbursement Systems." JACC: Cardiovascular Imaging 7, no. 3 (March 2014): 324–32. http://dx.doi.org/10.1016/j.jcmg.2014.01.008.

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23

SASAGAKI, MICHIHIRO, MITSUHIRO MATSUMOTO, and YOSHINOBU MORI. "CR PORTAL IMAGING : A LINAC GRAPHY USING STORAGE PHOSPHOR IMAGING SYSTEMS." Japanese Journal of Radiological Technology 48, no. 7 (1992): 984–90. http://dx.doi.org/10.6009/jjrt.kj00003534082.

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24

MATSUMOTO, MITSUHIRO, MICHIHIRO SASAGAKI, and YOSHINOBU MORI. "CR PORTAL IMAGING : A LINAC GRAPHY BY STORAGE PHOSPHOR IMAGING SYSTEMS." Japanese Journal of Radiological Technology 47, no. 4 (1991): 627–29. http://dx.doi.org/10.6009/jjrt.kj00003500111.

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25

&NA;. "Expert systems - a role in nuclear medicine?" Nuclear Medicine Communications 12, no. 7 (July 1991): 565–68. http://dx.doi.org/10.1097/00006231-199107000-00001.

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26

DENKBAŞ, EMIR B., and A. VASEASHTA. "NANOTECHNOLOGY IN MEDICINE AND HEALTH SCIENCES." Nano 03, no. 04 (August 2008): 263–69. http://dx.doi.org/10.1142/s1793292008001313.

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Abstract:

The present investigation is aimed at the biomedical aspects of nanomaterials in medicine and health sciences. Synthesis of nanomaterials can be categorized into three main sections based on their system designation, viz. nanocolloidal systems, surface modification of the biomaterials at molecular level, and nanodevices. An overview of functionalized nanomaterials, devices, and systems in drug and gene delivery, controlled release systems, molecular imaging and diagnostics, cardiac therapy, dental care, orthopedics, and targeted cancer therapy is presented. We further present some preliminary results of our investigation of biodegradable polymeric nanospheres and nanofibers with significant applications in health and medicine.

27

Bilge, Sedat, Attila Aydin, and Mehmet Eryilmaz. "Endotracheal intubation with tactical fiberoptic imaging systems." American Journal of Emergency Medicine 34, no. 3 (March 2016): 664–65. http://dx.doi.org/10.1016/j.ajem.2015.12.061.

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28

Crommelin, Daan J. A., Gert Storm, and Peter Luijten. "‘Personalised medicine’ through ‘personalised medicines’: Time to integrate advanced, non-invasive imaging approaches and smart drug delivery systems." International Journal of Pharmaceutics 415, no. 1-2 (August 2011): 5–8. http://dx.doi.org/10.1016/j.ijpharm.2011.02.010.

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29

Tez, Selda, and Mesut Tez. "Imaging as a Complex Systems Science." Radiology 249, no. 3 (December 2008): 1083. http://dx.doi.org/10.1148/radiol.2493081289.

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30

Wilson, T. "Three-dimensional imaging in confocal systems." Journal of Microscopy 153, no. 2 (February 1989): 161–69. http://dx.doi.org/10.1111/j.1365-2818.1989.tb00556.x.

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31

Glasenapp, A., A. Hess, and J. T. Thackeray. "Molecular imaging in nuclear cardiology: Pathways to individual precision medicine." Journal of Nuclear Cardiology 27, no. 6 (September 6, 2020): 2195–201. http://dx.doi.org/10.1007/s12350-020-02319-6.

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Abstract:

AbstractGrowth of molecular imaging bears potential to transform nuclear cardiology from a primarily diagnostic method to a precision medicine tool. Molecular targets amenable for imaging and therapeutic intervention are particularly promising to facilitate risk stratification, patient selection and exquisite guidance of novel therapies, and interrogation of systems-based interorgan communication. Non-invasive visualization of pathobiology provides valuable insights into the progression of disease and response to treatment. Specifically, inflammation, fibrosis, and neurohormonal signaling, central to the progression of cardiovascular disease and emerging therapeutic strategies, have been investigated by molecular imaging. As the number of radioligands grows, careful investigation of the binding properties and added-value of imaging should be prioritized to identify high-potential probes and facilitate translation to clinical applications. In this review, we discuss the current state of molecular imaging in cardiovascular medicine, and the challenges and opportunities ahead for cardiovascular molecular imaging to navigate the path from diagnosis to prognosis to personalized medicine.

32

Krupinski, Elizabeth A., and Yulei Jiang. "Anniversary Paper: Evaluation of medical imaging systems." Medical Physics 35, no. 2 (January 28, 2008): 645–59. http://dx.doi.org/10.1118/1.2830376.

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33

Cruite, Irene, An Tang, and Claude B. Sirlin. "Imaging-Based Diagnostic Systems for Hepatocellular Carcinoma." American Journal of Roentgenology 201, no. 1 (July 2013): 41–55. http://dx.doi.org/10.2214/ajr.13.10570.

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34

Fox, Martin D. "31. Microcomputer Based Imaging Systems in Radiography." Investigative Radiology 22, no. 9 (September 1987): S8. http://dx.doi.org/10.1097/00004424-198709000-00047.

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35

Sung, Myong-Hee, and James G. McNally. "Live cell imaging and systems biology." Wiley Interdisciplinary Reviews: Systems Biology and Medicine 3, no. 2 (August 20, 2010): 167–82. http://dx.doi.org/10.1002/wsbm.108.

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36

Richard, S., and J. H. Siewerdsen. "Optimization of dual-energy imaging systems using generalized NEQ and imaging task." Medical Physics 34, no. 1 (December 15, 2006): 127–39. http://dx.doi.org/10.1118/1.2400620.

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37

Cheng, J. X., and X. S. Xie. "Vibrational spectroscopic imaging of living systems: An emerging platform for biology and medicine." Science 350, no. 6264 (November 26, 2015): aaa8870. http://dx.doi.org/10.1126/science.aaa8870.

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38

Zanzonico, Pat. "Principles of Nuclear Medicine Imaging: Planar, SPECT, PET, Multi-modality, and Autoradiography Systems." Radiation Research 177, no. 4 (April 2012): 349–64. http://dx.doi.org/10.1667/rr2577.1.

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39

Glenn, Marcus E. "Image compression for medical imaging systems." Journal of Medical Systems 11, no. 2-3 (June 1987): 149–56. http://dx.doi.org/10.1007/bf00992349.

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40

Alavi, Abass, Thomas J. Werner, Ewa Ł. Stępień, and Pawel Moskal. "Unparalleled and revolutionary impact of PET imaging on research and day to day practice of medicine." Bio-Algorithms and Med-Systems 17, no. 4 (December 1, 2021): 203–12. http://dx.doi.org/10.1515/bams-2021-0186.

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Abstract:

Abstract Positron emission tomography (PET) imaging is the most quantitative modality for assessing disease activity at the molecular and cellular levels, and therefore, it allows monitoring its course and determining the efficacy of various therapeutic interventions. In this scientific communication, we describe the unparalleled and revolutionary impact of PET imaging on research and day to day practice of medicine. We emphasize the critical importance of the development and synthesis of novel radiotracers (starting from the enormous impact of F-Fluorodeouxyglucose (FDG) introduced by investigators at the University of Pennsylvania (PENN)) and PET instrumentation. These innovations have led to the total-body PET systems enabling dynamic and parametric molecular imaging of all organs in the body simultaneously. We also present our perspectives for future development of molecular imaging by multiphoton PET systems that will enable users to extract substantial information (owing to the evolving role of positronium imaging) about the related molecular and biological bases of various disorders, which are unachievable by the current PET imaging techniques.

41

Kim, Joong, and Jae Lee. "Recent Advances in Hybrid Molecular Imaging Systems." Seminars in Musculoskeletal Radiology 18, no. 02 (April 8, 2014): 103–22. http://dx.doi.org/10.1055/s-0034-1371014.

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42

Barneveld Binkhuysen, F. H. "Picture Archiving and Communication Systems (PACS) in Medicine." European Journal of Radiology 14, no. 1 (January 1992): 78–79. http://dx.doi.org/10.1016/0720-048x(92)90070-p.

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43

TODD-POKROPEK, A., E. VAURAMO, P. COSGRIFF, I. SIPPO-TUJUNEN, and K. BRITTON. "User requirements for information systems in nuclear medicine." Nuclear Medicine Communications 13, no. 1 (1992): 299–305. http://dx.doi.org/10.1097/00006231-199205000-00002.

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44

MacDonald, Scott A., C. Grant Willson, and Jean M. J. Frechet. "Chemical Amplification in High-Resolution Imaging Systems." Accounts of Chemical Research 27, no. 6 (June 1994): 151–58. http://dx.doi.org/10.1021/ar00042a001.

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45

Maslebu, Giner, and Suryasatriya Trihandaru. "The Application of Nuclear Medicine." Indonesian Journal of Physics and Nuclear Applications 1, no. 2 (June 30, 2016): 81. http://dx.doi.org/10.24246/ijpna.v1i2.81-84.

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Abstract:

Currently, the practice of nuclear medicine in modern countries comprises a large number of procedures. It is applied to study function of organs/body systems, to visualize, to characterize, and to quantify the functional state of lesions and for targeted radionuclide therapy. This overview presents all kinds of application in nuclear medicine services. Instrumentation and radioactive/radiolabeled substances are the basic components for application. Biotechnology contributes to the development and production of biomolecules used in radiopharmaceuticals. As a diagnostic modality, imaging depicts radioactivity distribution as a function of time. Hybrid imaging provides more precise localization and definition of le-sions as well as molecular imaging cross validation. Counting tests study invivo<br />organ functions externally or assess analytes in the biologic samples. Radiopharmaceutical therapy can be applied directly into the lesion or targeted systemically. Nanotechnology facilitates targeting and opens the development of bimodal techniques. In addition, neutron application contributes to the advancement of nuclear medicine services, such as neutron activation analysis, neutron teletherapy and neutron capture therapy.

46

Mafee, Mahmood F., Mark Rapoport, Afshin Karimi, Sameer A. Ansari, and Jay Shah. "Orbital and Ocular Imaging Using 3- and 1.5-T MR Imaging Systems." Neuroimaging Clinics of North America 15, no. 1 (February 2005): 1–21. http://dx.doi.org/10.1016/j.nic.2005.02.010.

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47

Gallot, Guilhem. "Terahertz sensing in biology and medicine." Photoniques, no. 101 (March 2020): 53–58. http://dx.doi.org/10.1051/photon/202010153.

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Terahertz radiation offers new contrasts with biological systems, without markers or staining, at the molecular, cellular or tissue level. Thanks to technological advances, it is increasingly emerging as a solution of choice for directly probing the interaction with molecules and biological solutions. Applications range from dynamics of biological molecules to imaging of cancerous tissues, including ion, protein and membrane sensors.

48

Lopez, Hector. "Characterizing the performance of diagnostic imaging systems." Academic Radiology 2, no. 7 (July 1995): 634–37. http://dx.doi.org/10.1016/s1076-6332(05)80131-x.

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49

Cheng, R. Holland. "Protemoe imaging of macromolecular systems in nanomedicine." Nanomedicine: Nanotechnology, Biology and Medicine 3, no. 4 (December 2007): 345–46. http://dx.doi.org/10.1016/j.nano.2007.10.049.

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50

BERRY, IAN, JULIE WILSON, JON DIPROSE, DAVE STUART, STEPHEN FULLER, and ROBERT ESNOUF. "IMAGE STORAGE FOR AUTOMATED CRYSTALLIZATION IMAGING SYSTEMS." International Journal of Neural Systems 15, no. 06 (December 2005): 415–25. http://dx.doi.org/10.1142/s0129065705000384.

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Abstract:

To use crystallography for the determination of the three-dimensional structures of proteins, protein crystals need to be grown. Automated imaging systems are increasingly being used to monitor these crystallization experiments. These present problems of accessibility to the data, repeatability of any image analysis performed and the amount of storage required. Various image formats and techniques can be combined to provide effective solutions to high volume processing problems such as these, however lack of widespread support for the most effective algorithms, such as JPeg2000 which yielded a 64% improvement in file size over the bitmap, currently inhibits the immediate take up of this approach.