Image Reconstruction for Head Laser Tomography System

Year 2016, Volume: 2 Issue: 4, 51 - 55, 13.11.2016

Hüseyin Özgür Kazancı

Abstract

New hardware and image reconstruction algorithm for diffuse optical imaging (DOI) is presented in this work. Image reconstruction approach for new biomedical imaging device is presented. General-purpose laser scanner was used as a data acquisition unit for back-reflected laser light. It has one photodetector. One photodiode used with surface scanning process might be considered as multi detector system. Photodiode, inside the laser scanner collects escaping photons from tissue surface, can be evaluated as many photodetectors. Photodiode collects back reflected escaping photons from heterogeneous tissue or tissue like phantom media’s each surface line pixel. Basically, solenoid mirror relay vibrates the laser pointer at surface, in very short time interval. Back reflected laser light is collected by one photodiode. In this work, noncontact laser scanning tomography device concept and simulative image reconstruction procedure is presented. Image reconstruction was done base on the isobestic blood dependent laser wavelength, which is 850 nm.

Keywords

Diffuse Optical Imaging (DOI), Laser Data Acquisition, Image Reconstruction

References

• References
• Wang LV, Wu H. Biomedical Optics: Principles and Imaging. New Jersey: Wiley, 2007; 362.
• González-Rodríguez P, Kim AD. Comparison of light scattering models for diffuse optical tomography. Opt Express. 2009;17(11):8756-8774.
• Ansari MA, et al. Diffuse Optical Tomography: Image Reconstruction and Verification. J Lasers Med Sci. 2014;5(1):13-18.
• Siegel A, et al. Design and evaluation of a continuous-wave diffuse optical tomography system. Opt Express. 1999;4(8):287-298.
• Yodh A, Chance B. Spectroscopy and imaging with diffusing light. Phys Today. 1995;48:34-40.
• Intes X, Chance B. Non-PET functional imaging techniques. Radiol Clin North Am. 2005;43(1):221-234.
• Hielscher AH, et al. Near-infrared diffuse optical tomography. Dis Markers. 2002;18(5-6):313-337.
• Lee K. Optical mammography: Diffuse optical imaging of breast cancer. Med. Phys. 2008;35(6), 2443-2451.
• Tromberg B, et al. Assessing the future of diffuse optical imaging technologies for breast cancer management. Mol. Imaging Biol. 2009;11(29):64-70.
• Ven Sv, et al. Diffuse Optical Tomography of the Breast: Initial Validation in Benign Cysts. Mol. Imaging Biol. 2009;11(2):64–70.
• Flexman ML, et al. Digital optical tomography system for dynamic breast imaging. J Biomed Opt. 2011;16(7):076014.
• Patachia M, et al. Continuous wave diffuse optical tomography system tested on phantoms and animal tissues. Med Phys. 2015;67(2):412-422.
• Zhang XF. Instrumentation in Diffuse Optical Imaging. Photonics. 2014;1(1):9-32.
• Boas DA, et al. Diffuse optical imaging of brain activation: Approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage. 2004;23:275-288.
• Hielscher AH. Optical tomographic imaging of small animals. Curr Opin Biotechnol. 2005;16:79-88.
• Kazanci HO, et al. Design and evaluation of a reflectance diffuse optical tomography system. Optical and Quantum Electronics. 2015;47(2):257-265.
• Kazanci HO. Weight matrix analysis for back reflection continuous wave diffuse optical tomography (CWDOT) systems: translational method. Optical and Quantum Electronics. 2015;47(12):3847-3853.
• Kazanci HO, et al. Investigation of Human Lung by Laser Tomography. El-Cezerî Journal of Science and Engineering. 2015;2(3):75-81.
• Kazanci HO, et al. Depth Normalization Algorithm for Continuous Wave Reflectance Diffuse Optical Tomography System. El-Cezerî Journal of Science and Engineering. 2015;2(1):40-46.
• Kazanci HO, et al. Mathematical method for diffuse optical tomography imaging: A Research Study. 2014;1(3):40-48.
• Kazanci HO. Designing intact clinical head laser tomography system. In Proc. IEEE Medical Technologies National Conference (TIPTEKNO). 2015; 276-279.
• Kazanci HO. Development of coordinate definition algorithm for head laser tomography system. In Proc. IEEE Medical Technologies National Conference (TIPTEKNO). 2015; 280-283.
• Kazanci HO, Jacques SL. Diffuse light tomography to detect blood vessels using Tikhonov regularization. In Proc. SPIE - Saratov Fall Meetings SFM'15, Optical Technologies in Biophysics & Medicine XVIII. 2015; Saratov State University, Saratov, Russia.
• Arridge SR. Methods in diffuse optical imaging. Philos Trans Phys Sci Eng. 2011;369(155):4558-4576.
• Arridge SR. Optical tomography in medical imaging. Inverse Problems. 1999; 15(2):41.
• Arridge SR, Hebden JC. Optical imaging in medicine: II. Modelling and reconstruction. Phys Med Biol. 1997;42(5):841-53.
• Hebden JC, et al. Optical imaging in medicine: I. Experimental techniques. Phys Med Biol. 1997;42(5):825-840.
• Burr Brown Products and Texas Instruments, "Dual Current Input 20-bit analog to digital converter", DDC112 SBAS085B datasheet manual, Tucson AZ (2000) revised (2004).
• Microchip Pic18f2550 datasheet manual, Chandler, AZ with wafer fabs in Tempe, AZ and Gresham, OR, 2004.
• Cao N, et al. Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm. Opt Express. 2007;15(21):13695-13708.
• Niu H, et al. Development of a compensation algorithm for accurate depth localization in diffuse optical tomography. Opt Lett. 2010;35(3):429-31.