Journal articles on the topic 'Biomedical imaging'

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1

TAJIRI, Hisao. "Biomedical Imaging." JOURNAL OF JAPAN SOCIETY FOR LASER SURGERY AND MEDICINE 20, no. 1 (1999): 73–74. http://dx.doi.org/10.2530/jslsm1980.20.1_73.

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2

Pullan, A. J. "Biomedical Imaging." Yearbook of Medical Informatics 13, no. 01 (August 2004): 447–49. http://dx.doi.org/10.1055/s-0038-1638195.

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3

Capusten, Bernice. "Biomedical Imaging." Radiology 163, no. 3 (June 1987): 644. http://dx.doi.org/10.1148/radiology.163.3.644.

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4

Beard, Paul. "Biomedical photoacoustic imaging." Interface Focus 1, no. 4 (June 22, 2011): 602–31. http://dx.doi.org/10.1098/rsfs.2011.0028.

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Photoacoustic (PA) imaging, also called optoacoustic imaging, is a new biomedical imaging modality based on the use of laser-generated ultrasound that has emerged over the last decade. It is a hybrid modality, combining the high-contrast and spectroscopic-based specificity of optical imaging with the high spatial resolution of ultrasound imaging. In essence, a PA image can be regarded as an ultrasound image in which the contrast depends not on the mechanical and elastic properties of the tissue, but its optical properties, specifically optical absorption. As a consequence, it offers greater specificity than conventional ultrasound imaging with the ability to detect haemoglobin, lipids, water and other light-absorbing chomophores, but with greater penetration depth than purely optical imaging modalities that rely on ballistic photons. As well as visualizing anatomical structures such as the microvasculature, it can also provide functional information in the form of blood oxygenation, blood flow and temperature. All of this can be achieved over a wide range of length scales from micrometres to centimetres with scalable spatial resolution. These attributes lend PA imaging to a wide variety of applications in clinical medicine, preclinical research and basic biology for studying cancer, cardiovascular disease, abnormalities of the microcirculation and other conditions. With the emergence of a variety of truly compelling in vivo images obtained by a number of groups around the world in the last 2–3 years, the technique has come of age and the promise of PA imaging is now beginning to be realized. Recent highlights include the demonstration of whole-body small-animal imaging, the first demonstrations of molecular imaging, the introduction of new microscopy modes and the first steps towards clinical breast imaging being taken as well as a myriad of in vivo preclinical imaging studies. In this article, the underlying physical principles of the technique, its practical implementation, and a range of clinical and preclinical applications are reviewed.
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5

Fujimoto, James G., Daniel L. Farkas, and Barry R. Masters. "Biomedical Optical Imaging." Journal of Biomedical Optics 15, no. 5 (2010): 059902. http://dx.doi.org/10.1117/1.3490919.

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6

Weissleder, Ralph, and Matthias Nahrendorf. "Advancing biomedical imaging." Proceedings of the National Academy of Sciences 112, no. 47 (November 24, 2015): 14424–28. http://dx.doi.org/10.1073/pnas.1508524112.

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Imaging reveals complex structures and dynamic interactive processes, located deep inside the body, that are otherwise difficult to decipher. Numerous imaging modalities harness every last inch of the energy spectrum. Clinical modalities include magnetic resonance imaging (MRI), X-ray computed tomography (CT), ultrasound, and light-based methods [endoscopy and optical coherence tomography (OCT)]. Research modalities include various light microscopy techniques (confocal, multiphoton, total internal reflection, superresolution fluorescence microscopy), electron microscopy, mass spectrometry imaging, fluorescence tomography, bioluminescence, variations of OCT, and optoacoustic imaging, among a few others. Although clinical imaging and research microscopy are often isolated from one another, we argue that their combination and integration is not only informative but also essential to discovering new biology and interpreting clinical datasets in which signals invariably originate from hundreds to thousands of cells per voxel.
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7

Ji Yi, Ji Yi. "Visible light optical coherence tomography in biomedical imaging." Infrared and Laser Engineering 48, no. 9 (2019): 902001. http://dx.doi.org/10.3788/irla201948.0902001.

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8

Liu, Yen-Yiu, Be-Ming Chang, and Huan-Cheng Chang. "Nanodiamond-enabled biomedical imaging." Nanomedicine 15, no. 16 (July 2020): 1599–616. http://dx.doi.org/10.2217/nnm-2020-0091.

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Biomedical imaging allows in vivo studies of organisms, providing valuable information of biological processes at both cellular and tissue levels. Nanodiamonds have recently emerged as a new type of probe for fluorescence imaging and contrast agent for magnetic resonance and photoacoustic imaging. Composed of sp3-carbon atoms, diamond is chemically inert and inherently biocompatible. Uniquely, its matrix can host a variety of optically and magnetically active defects suited for bioimaging applications. Since the first production of fluorescent nanodiamonds in 2005, a large number of experiments have demonstrated that fluorescent nanodiamonds are useful as photostable markers and nanoscale sensors in living cells and organisms. In this review, we focus our discussion on the recent advancements of nanodiamond-enabled biomedical imaging for preclinical applications.
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9

Jiang, Ming, Alfred K. Louis, Didier Wolf, Hongkai Zhao, Christian Daul, Zhaotian Zhang, and Tie Zhou. "Mathematics in Biomedical Imaging." International Journal of Biomedical Imaging 2007 (2007): 1–2. http://dx.doi.org/10.1155/2007/64954.

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10

Gorocs, Z., and A. Ozcan. "On-Chip Biomedical Imaging." IEEE Reviews in Biomedical Engineering 6 (2013): 29–46. http://dx.doi.org/10.1109/rbme.2012.2215847.

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11

Webb, Andrew, and George C. Kagadis. "Introduction to Biomedical Imaging." Medical Physics 30, no. 8 (August 2003): 2267. http://dx.doi.org/10.1118/1.1589017.

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12

Paschal, Cynthia B., Kathy R. Nightingale, and Kristina M. Ropella. "Undergraduate Biomedical Imaging Education." Annals of Biomedical Engineering 34, no. 2 (February 2006): 232–38. http://dx.doi.org/10.1007/s10439-005-9031-2.

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13

Baer, Thomas M., James L. Mulshine, and Joshua J. Jacobs. "Biomedical imaging archive network." Skeletal Radiology 36, no. 9 (April 5, 2007): 799–801. http://dx.doi.org/10.1007/s00256-007-0295-5.

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14

Nune, Satish K., Padmaja Gunda, Praveen K. Thallapally, Ying-Ying Lin, M. Laird Forrest, and Cory J. Berkland. "Nanoparticles for biomedical imaging." Expert Opinion on Drug Delivery 6, no. 11 (September 10, 2009): 1175–94. http://dx.doi.org/10.1517/17425240903229031.

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15

Tempany, Clare M. C. "Advances in Biomedical Imaging." JAMA 285, no. 5 (February 7, 2001): 562. http://dx.doi.org/10.1001/jama.285.5.562.

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16

Seongsin M. Kim, Seongsin M. Kim, William Baughman William Baughman, David S. Wilbert David S. Wilbert, Lee Butler Lee Butler, Michael Bolus Michael Bolus, Soner Balci Soner Balci, and Patrick Kung Patrick Kung. "High sensitivity and high selectivity terahertz biomedical imaging (Invited Paper)." Chinese Optics Letters 9, no. 11 (2011): 110009–12. http://dx.doi.org/10.3788/col201109.110009.

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17

ESENALIEV, RINAT O. "BIOMEDICAL OPTOACOUSTICS." Journal of Innovative Optical Health Sciences 04, no. 01 (January 2011): 39–44. http://dx.doi.org/10.1142/s1793545811001253.

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Optoacoustics is a promising modality for biomedical imaging, sensing, and monitoring with high resolution and contrast. In this paper, we present an overview of our studies for the last two decades on optoacoustic effects in tissues and imaging capabilities of the optoacoustic technique. In our earlier optoacoustic works we studied laser ablation of tissues and tissue-like media and proposed to use optoacoustics for imaging in tissues. In mid-90s we demonstrated detection of optoacoustic signals from tissues at depths of up to several centimeters, well deeper than the optical diffusion limit. We then obtained optoacoustic images of tissues both in vitro and in vivo. In late 90s we studied optoacoustic monitoring of thermotherapy: hyperthermia, coagulation, and freezing. Then we proposed and studied optoacoustic monitoring of blood oxygenation, hemoglobin concentration, and other physiologic parameters.
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18

Fujibayashi, Yasuhisa. "Biomedical imaging in drung development." Drug Delivery System 18, no. 1 (2003): 45–50. http://dx.doi.org/10.2745/dds.18.45.

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19

Mertz, Leslie. "New Efforts in Biomedical Imaging." IEEE Pulse 13, no. 4 (July 2022): 2–7. http://dx.doi.org/10.1109/mpuls.2022.3191382.

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20

Wang, Lihong V., Hsin-I. Wu, and Barry R. Masters. "Biomedical Optics, Principles and Imaging." Journal of Biomedical Optics 13, no. 4 (2008): 049902. http://dx.doi.org/10.1117/1.2976007.

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21

Everbach, E. Carr. "Diagnostic imaging in biomedical ultrasound." Journal of the Acoustical Society of America 118, no. 3 (September 2005): 1877. http://dx.doi.org/10.1121/1.4779345.

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22

Ye, Yangbo, Robert J. Plemmons, James G. Nagy, and Qinian Jin. "Modern Mathematics in Biomedical Imaging." International Journal of Biomedical Imaging 2011 (2011): 1–2. http://dx.doi.org/10.1155/2011/618972.

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23

Laine, A. F. "In the Spotlight: Biomedical Imaging." IEEE Reviews in Biomedical Engineering 1 (2008): 4–7. http://dx.doi.org/10.1109/rbme.2008.2008221.

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24

Laine, A. F. "In the Spotlight: Biomedical Imaging." IEEE Reviews in Biomedical Engineering 2 (2009): 6–8. http://dx.doi.org/10.1109/rbme.2009.2034700.

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25

Laine, Andrew F. "In the Spotlight: Biomedical Imaging." IEEE Reviews in Biomedical Engineering 3 (2010): 7–9. http://dx.doi.org/10.1109/rbme.2010.2085591.

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26

Laine, Andrew F. "In the Spotlight: Biomedical Imaging." IEEE Reviews in Biomedical Engineering 4 (2011): 9–11. http://dx.doi.org/10.1109/rbme.2011.2173617.

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27

Laine, Andrew F. "In the Spotlight: Biomedical Imaging." IEEE Reviews in Biomedical Engineering 6 (2013): 13–16. http://dx.doi.org/10.1109/rbme.2012.2235531.

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28

Tanter, Mickael, and Mathias Fink. "Ultrafast imaging in biomedical ultrasound." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 61, no. 1 (January 2014): 102–19. http://dx.doi.org/10.1109/tuffc.2014.2882.

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29

Tanter, Mickael, and Mathias Fink. "Ultrafast imaging in biomedical ultrasound." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 61, no. 1 (January 2014): 102–19. http://dx.doi.org/10.1109/tuffc.2014.6689779.

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30

Offerhaus, Herman L., Sarah E. Bohndiek, and Andrew R. Harvey. "Hyperspectral imaging in biomedical applications." Journal of Optics 21, no. 1 (December 10, 2018): 010202. http://dx.doi.org/10.1088/2040-8986/aaf2a0.

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31

GAYEN, S. K., and R. R. ALFANO. "Emerging Optical Biomedical Imaging Techniques." Optics and Photonics News 7, no. 3 (March 1, 1996): 16. http://dx.doi.org/10.1364/opn.7.3.000016.

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32

Faramarzpour, Naser, Munir EL-DESOUKI, M. Deen, Qiyin Fang, Shahramshirani, and L. W. C. Liu. "CMOS imaging for biomedical applications." IEEE Potentials 27, no. 3 (May 2008): 31–36. http://dx.doi.org/10.1109/mpot.2008.916105.

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33

Carson, Paul L., and Maryellen Giger. "Biomedical imaging research opportunities workshop." Academic Radiology 10, no. 8 (August 2003): 882–86. http://dx.doi.org/10.1016/s1076-6332(03)00059-x.

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34

Sullivan, Daniel C. "The NCI Biomedical Imaging Program." Academic Radiology 9, no. 1 (January 2002): 122–25. http://dx.doi.org/10.1016/s1076-6332(03)80305-7.

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35

Ingram, P. "Microchemical imaging in biomedical research." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (August 1992): 1118–19. http://dx.doi.org/10.1017/s0424820100130225.

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It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.
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36

Sridhar, Ramalingam, and Terry Jones. "VLSI in biomedical imaging systems." Computerized Medical Imaging and Graphics 19, no. 1 (January 1995): 161–69. http://dx.doi.org/10.1016/0895-6111(94)00037-9.

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37

Acharya, Raj, Richard Wasserman, Jeffrey Stevens, and Carlos Hinojosa. "Biomedical imaging modalities: a tutorial." Computerized Medical Imaging and Graphics 19, no. 1 (January 1995): 3–25. http://dx.doi.org/10.1016/0895-6111(94)00043-3.

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38

Harrison, B., and K. Mabuchi. "Biomedical infrared imaging in Japan." IEEE Engineering in Medicine and Biology Magazine 17, no. 4 (1998): 66–70. http://dx.doi.org/10.1109/51.687966.

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39

Rudolph, W., and M. Kempe. "Trends in optical biomedical imaging." Journal of Modern Optics 44, no. 9 (September 1997): 1617–42. http://dx.doi.org/10.1080/09500349708230763.

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40

Biscay Lirio, R., L. Galán García, P. Valdés Sosa, T. Virues Alba, L. Neira Blaquier, and J. Rojas Vigoa. "Localization error in biomedical imaging." Computers in Biology and Medicine 22, no. 4 (July 1992): 277–86. http://dx.doi.org/10.1016/0010-4825(92)90067-w.

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41

Cong, Wenxiang, Kumar Durairaj, and Peng Feng. "Mathematical Methods in Biomedical Imaging." Computational and Mathematical Methods in Medicine 2013 (2013): 1–2. http://dx.doi.org/10.1155/2013/932794.

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42

Kippelen, B., N. Peyghambarian, and S. R. Marder. "Photorefractive Polymers for Biomedical Imaging." Optics and Photonics News 9, no. 12 (December 1, 1998): 16. http://dx.doi.org/10.1364/opn.9.12.000016.

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43

Kippelen, B., N. Peyghambarian, and S. R. Marder. "Photorefractive Polymers for Biomedical Imaging." Optics and Photonics News 9, no. 12 (December 1, 1998): 16_1. http://dx.doi.org/10.1364/opn.9.12.0016_1.

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44

Blinov, N. N. "Biomedical Imaging in Modern Medicine." Biomedical Engineering 44, no. 5 (January 2011): 166–68. http://dx.doi.org/10.1007/s10527-011-9178-0.

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45

Burger, Martin, Jan Modersitzki, and Daniel Tenbrinck. "Mathematical methods in biomedical imaging." GAMM-Mitteilungen 37, no. 2 (November 2014): 154–83. http://dx.doi.org/10.1002/gamm.201410008.

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46

Lester, David S., and James L. Olds. "Biomedical Imaging: 2001 and Beyond." Anatomical Record 265, no. 2 (2001): 35–36. http://dx.doi.org/10.1002/ar.1056.

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47

Tearney, Guillermo J., and Dongkyun Kang. "Introduction to biomedical optical imaging." Lasers in Surgery and Medicine 49, no. 3 (March 2017): 214. http://dx.doi.org/10.1002/lsm.22658.

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48

Mondal, Sudip, Sumin Park, Jaeyeop Choi, and Junghwan Oh. "Photoacoustic Imaging an Emerging Technique for Biomedical Imaging." BME Horizon 1, no. 1 (2023): 0. http://dx.doi.org/10.37155/2972-449x-0101-4.

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49

Mu Gen, 穆根, 张振辉 Zhang Zhenhui, and 石玉娇 Shi Yujiao. "生物医学影像中的光声成像技术." Chinese Journal of Lasers 49, no. 20 (2022): 2007208. http://dx.doi.org/10.3788/cjl202249.2007208.

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50

Rahman, Jawwad Sami Ur. "Literature Review on Biomedical Imaging Technique for Detection of Brain Tumour." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 1315–23. http://dx.doi.org/10.5373/jardcs/v12sp3/20201380.

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