Capacitive charge approach to diffuse optical tomography systems
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In this study the capacitive charge model approach has been explored to evaluate depth information of continuous wave (CW) diffuse optical tomography (DOT) systems. CW DOT systems have two geometric data acquisition structures depending on the laser source and photo-detector placements on the device surfaces. These geometries are transmission through and back reflection types. Most of the scanning geometries do not allow transmission through measurements. Hence, researchers had been trying to make more reliable back reflected CW DOT imaging systems for almost 30 years. Some researchers and companies had been using the mixture of transmission through and back reflection geometry models which is also equivalent to ring model. Ring model has been normally used for breast and newborn head imaging. The exponentially decaying nature of light gives less information about depth of scanning view for back reflected DOT devices. Diffusing light loses its energy along the depth profile. Back reflected escaping diffuse light involves less information about deeper voxels of interesting tissue or tissue like phantoms. On the other hand transmission through geometry uses only one depth surface thus giving more accurate information. In this work back reflected DOT geometry has been mimicked as a capacitor. Instead of electron accumulation versus time we used photon accumulation versus depth. The forward model transport matrix was built according to the time independent diffusion equation. One source and five different detector position’s experimental measurement data were acquired by multifiber spectrometers and simultenously acquired from homogenous and heterogenous multilayered, solid, sylindirical, silicon phantoms. Five different distance, heterogenous multilayer, detector's data have been divided over five homogenous detector's data to generate perturbation data. Perturbation data and the forward model weight matrix have been used to recover heterogenous, absorption differences from the homogenous medium and then two dimensional image has been constructed.
KeywordsContinuous wave diffuse optical tomography (CWDOT) Capacitive charge model approach Time independent diffusion equation Forward model
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Conflict of interest
The author declares that he has no competing interests. Financial competing interests (1) In the past 5 years the author has not received reimbursements, fees, funding, or salary from an organization that may in any way gain or lose financially from the publication of this manuscript, either now or in the future? The author works as Assistant Prof. Dr. in university. University is not financing this manuscript (including the article-processing charge).The author has not hold any stocks or shares in an organization that may in any way gain or lose financially from the publication of this manuscript, either now or in the future; (2) the author does not hold or he is not currently applying for any patents relating to the content of the manuscript. The author has not received reimbursements, fees, funding, or salary from an organization that holds or has applied for patents relating to the content of the manuscript and (3) he does not have any other financial competing interests. Non-Financial competing interests (1) There are no any non-financial competing interests (political, personal, religious, ideological, academic, intellectual, commercial or any other) to declare in relation to this manuscript.
- Kazanci, H.O.: Designing intact clinical head laser tomography system. In: Proceedings of IEEE Medical Technologies National Conference (TIPTEKNO). pp. 280–283. Bodrum (2015b). doi: 10.1109/TIPTEKNO.2015.7374104
- Kazanci, H.O.: Development of coordinate definition algorithm for head laser tomography system. In: Proceedings of IEEE Medical Technologies National Conference (TIPTEKNO). pp. 276–279. Bodrum (2015c). doi: 10.1109/TIPTEKNO.2015.7374104
- Kazanci, H.O., Canpolat, M.: Mathematical method for diffuse optical tomography imaging: a research study. El-Cezerî J. Sci. Eng. 1(3), 40–48 (2014)Google Scholar
- Kazanci, H.O., Canpolat, M.: Depth normalization algorithm for continuous wave reflectance diffuse optical tomography system. El-Cezerî J. Sci. Eng. 2(1), 40–46 (2015a)Google Scholar
- Kazanci, H.O., Canpolat, M.: Continuous wave diffuse optical tomography system with high resolution current to voltage analog digital converter. El-Cezerî J. Sci. Eng. 2(1), 68–77 (2015b)Google Scholar
- Kazanci, H.O., Jacques, S.L.: Diffuse light tomography to detect blood vessels using Tikhonov regularization. In: Proc. SPIE—Saratov Fall Meetings SFM’15, Optical Technologies in Biophysics and Medicine XVIII, Saratov State University, Saratov, 21–25 September (2015)Google Scholar
- Kazanci, H.O., Oduncuoglu, M.: Analysis of lung tissue by laser tomography. El Cezeri J. Sci. Eng. 2(3), 75–81 (2015)Google Scholar
- Wang, L.V., Wu, H.: Biomedical Optics: Principles and Imaging. Wiley, New Jersey (2007)Google Scholar