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Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging

Year 2020, Volume: 4 Issue: 4, 8 - 11, 23.10.2020

Abstract

Diffuse optic tomography (DOT) techniques are part of the classification of molecular biomedical optic imaging modality. DOT has the device instrumentation and mathematical image reconstruction parties. In device instrumentation part, electronic, optic and mechanic combinations are prepared for laser data acquisition processes. Basically, DOT devices have light source and photo detector units. Depend on the source and detector placement on imaging tissue surface, device geometry may be transmission through, back-reflected, cylindirical ring or spherical. Laser sources are illumination devices. Laser photons with specific wavelength are sent through tissue from tissue surface. Depend on the molecules’ biochemical structure, laser wavelength can be selected application specific. Molecules have different absorption coefficients depend on the laser wavelength. Detector units can be semiconductor PIN photodiodes, CCD or CMOS imagers. Different approaches can be used for geometrical DOT source-detector placements such that transmission through, back-reflected, cylindirical ring or spherical models. For instance, multi-sources and detectors might be placed like chessboard shape for back-reflected tissue imaging geometry. DOT imaging modality is also divided into three major branches depend on the run mode principle. Continuous Wave (CW), Frequency Domain (FD), and Time Resolved (TR) techniques are using different laser sources. CW technique is using steady state laser source. FD technique is using wide frequency range. TR technique is using picosecond (ps) or femtosecond (fs) pulsed laser source. All of these techniques are trying to investigate tissue molecule concentrations and spatial distributions by using acquired data in image reconstruction algorithm. Generalized image reconstruction algorithms are using mathematical inverse problem solution methods which might be back-projection method as an example of algebraic reconstruction technique (ART), regularization methods as an example of Tikhonov-Morozov discrepancy method, or sub-space methods such as conjugated gradient (CG) methods.

References

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  • [5] Erickson S.J., Martinez S.L., et al., Three-dimensional fluorescence tomography of human breast tissues in vivo using a hand-held optical imager, Phys. Med. Biol., 58(5), 1563–1579, (2013). DOI: 10.1088/0031-9155/58/5/1563.
  • [6] Jung Y.J, Roman M., et al., Non-contact Deep Tissue Imaging using a Hand-Held Near-infrared Optical Scanner, Journal of Medical Diagnostic Methods, 4(2), (2015). DOI: 10.4172/2168-9784.1000.169.
  • [7] Pogue B.W., McBride T.O., Osterberg U.L., and Paulsen K.D., Comparison of imaging geometries for diffuse optical tomography of tissue, Optics Express, 4(8), 270-286 (1999). DOI: 10.1364/OE.4.000270.
Year 2020, Volume: 4 Issue: 4, 8 - 11, 23.10.2020

Abstract

References

  • [1] K. Lee, Optical mammography: Diffuse optical imaging of breast cancer, J. Clin. Oncol., 2(1), 64–72, (2011). DOI: 10.5306/wjco.v2.i1.64.
  • [2] Grosenick D., Rinneberg H., Cubeddu R., Taroni P., Review of optical breast imaging and spectroscopy, J. of Biomedical Optics, 21(9), (2016). DOI: 10.1117/1.JBO.21.9.091311.
  • [3] Leff D.R., Warren O.J., Enfield L.C., et al., Diffuse optical imaging of the healthy and diseased breast: A systematic review, Breast Cancer Research and Treatment, 108(1), (2008). DOI: 10.1007/s10549-007-9582-z.
  • [4] Gonzalez J., Roman M., Erickson S.J., Godavarty A., Near-Infrared Hand-Held Optical Imaging Technology, Journal of the Indian Institute of Science, 93(1), 1-14, (2013). ISSN: 0970-4140 Coden-JIISAD.
  • [5] Erickson S.J., Martinez S.L., et al., Three-dimensional fluorescence tomography of human breast tissues in vivo using a hand-held optical imager, Phys. Med. Biol., 58(5), 1563–1579, (2013). DOI: 10.1088/0031-9155/58/5/1563.
  • [6] Jung Y.J, Roman M., et al., Non-contact Deep Tissue Imaging using a Hand-Held Near-infrared Optical Scanner, Journal of Medical Diagnostic Methods, 4(2), (2015). DOI: 10.4172/2168-9784.1000.169.
  • [7] Pogue B.W., McBride T.O., Osterberg U.L., and Paulsen K.D., Comparison of imaging geometries for diffuse optical tomography of tissue, Optics Express, 4(8), 270-286 (1999). DOI: 10.1364/OE.4.000270.
There are 7 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

Huseyin Ozgur Kazanci 0000-0003-0036-7657

Publication Date October 23, 2020
Published in Issue Year 2020 Volume: 4 Issue: 4

Cite

APA Kazanci, H. O. (2020). Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging. Acta Materialia Turcica, 4(4), 8-11.
AMA Kazanci HO. Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging. ACTAMAT. October 2020;4(4):8-11.
Chicago Kazanci, Huseyin Ozgur. “Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging”. Acta Materialia Turcica 4, no. 4 (October 2020): 8-11.
EndNote Kazanci HO (October 1, 2020) Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging. Acta Materialia Turcica 4 4 8–11.
IEEE H. O. Kazanci, “Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging”, ACTAMAT, vol. 4, no. 4, pp. 8–11, 2020.
ISNAD Kazanci, Huseyin Ozgur. “Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging”. Acta Materialia Turcica 4/4 (October 2020), 8-11.
JAMA Kazanci HO. Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging. ACTAMAT. 2020;4:8–11.
MLA Kazanci, Huseyin Ozgur. “Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging”. Acta Materialia Turcica, vol. 4, no. 4, 2020, pp. 8-11.
Vancouver Kazanci HO. Diffuse Optic Tomography (DOT) Techniques for Biomedical Imaging. ACTAMAT. 2020;4(4):8-11.