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Journal articles on the topic 'Biomedical imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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 (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 (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 (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 sp

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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 (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 imag

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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 (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 experiment

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9

Jiang, Ming, Alfred K. Louis, Didier Wolf, et al. "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 (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 (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 (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 (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 (2001): 562. http://dx.doi.org/10.1001/jama.285.5.562.

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16

ESENALIEV, RINAT O. "BIOMEDICAL OPTOACOUSTICS." Journal of Innovative Optical Health Sciences 04, no. 01 (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.

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17

Seongsin M. Kim, Seongsin M. Kim, William Baughman William Baughman, David S. Wilbert David S. Wilbert, et al. "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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18

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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19

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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20

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

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21

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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22

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

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23

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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24

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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25

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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26

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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27

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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28

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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29

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

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30

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

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31

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

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32

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

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33

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 (2008): 31–36. http://dx.doi.org/10.1109/mpot.2008.916105.

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34

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

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35

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

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36

Ingram, P. "Microchemical imaging in biomedical research." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (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 reg

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37

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

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38

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

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39

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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40

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

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41

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 (1992): 277–86. http://dx.doi.org/10.1016/0010-4825(92)90067-w.

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42

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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43

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

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44

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

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45

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

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46

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

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47

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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48

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

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49

Cao, Siheng. "Terahertz Imaging in Biomedical Detection: Principles, Applications, and Challenges." Theoretical and Natural Science 97, no. 1 (2025): 138–43. https://doi.org/10.54254/2753-8818/2025.23359.

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Terahertz (THz) imaging has emerged as a powerful technique with great potential for biomedical applications. This review focuses on its rationale, strengths, limitations, and recent advances. Terahertz imaging, with low photon energy, enables non-ionizing and non-invasive detection. Terahertz is sensitive to temperature, polar molecules such as water, and hydrogen bonds. Cancerous cells have loose structures, higher water content, and more united vibrational properties than healthy cells. Therefore, THz imaging is susceptible to malignant tissues. Complementary techniques such as nanoparticle

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50

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

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