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A Method for Thiarubrine Canals Extraction in Optical Coherence Tomography Images of Schkuhria Pinnata Roots

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a method of automatic recognition of thiarubrine canals in images obtained with Optical Coherence Tomography technique. The plant material was the Ri-transformed root culture of South American herb Schkuhria pinnata. The series of highresolution OCT B-scans for the study were collected using custom made experimental system operating light of 800 nm central wavelength. The method reduces significant artefacts and uses region growing approach adapted to specific features of OCT images. Results of the identification have been compared with data obtained by specialist for selected B-scans. The algorithm accuracy was also verified using a simple numeric phantom.
Twórcy
  • Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, PL 90-924 Lodz, Poland
  • Lodz University of Technology, Institute of Applied Computer Science, Stefanowskiego 18/22, PL 90-924 Lodz, Poland
autor
  • University of Lodz, Department of Plant Physiology and Biochemistry, Banacha 12/16, PL 90-237 Lodz, Poland
autor
  • University of Lodz, Department of Plant Physiology and Biochemistry, Banacha 12/16, PL 90-237 Lodz, Poland
  • Nicolaus Copernicus University, Institute of Physics, Faculty of Physics, Astronomy and Informatics, Grudziądzka 5, PL 87-100 Toruń, Poland
Bibliografia
  • [1] Abou Zid, S., Orihara, Y. (2005). Polyacetylenes accumulation in Ambrosia maritima hairy root and cell cultures after elicitation with methyl jasmonate, Plant Cell Tiss Organ Cult, 81, 65-75
  • [2] de Boer, J.F. (2008). Spectral/Fourier Domain Optical Coherence Tomography., In: W. Drexler, J. G. Fuijmoto Optical Coherence Tomography: Technology and Applications, 147-173
  • [3] Bouton, G. (2011). CorelDRAW X5. The Official Guide., The McGraw-Hill Companies, New York, NY
  • [4] Chabalani, J., Krishan, T., Sethi, V., Kozak, I. (2014). Artifacts in optical coherence tomography, Saudi Journal of Ophthalmology, 28, 81-87
  • [5] Changho, L., Seung-Yeol, L., Hee-Young, J., Jeehyun, K. (2012). The application of optical coherence tomography in the diagnosis of Marssonina blotch in apple leaves, Journal of the Optical Society of Korea, 16(2), 133-140
  • [6] Changho, L., Seung-Yeol, L., Jeong-Yeon, K., Hee- Young, J., Jeehyun, K. (2011). Optical sensing method for screening disease in melon seeds by using Optical Coherence Tomography, Sensors, 11, 9467-9477
  • [7] Davis, A.M., Boppart, S.A., Rothenberg, F., Izatt, J.A. (2008). OCT Applications in Developmental Biology, In: W. Drexler, J. G. Fuijmoto Optical Coherence Tomography: Technology and Applications, 919-959
  • [8] Drexler, W., Fuijmoto, J.G. (2008). Retinal Optical Coherence Tomography In: W. Drexler, J. G. Fuijmoto, Optical Coherence Tomography: Technology and Applications, 983-1046
  • [9] Geraci, S., La Manna, A., Tamburino, C. (2010). Optical coherence tomography for coronary imaging, E-Journal of Cardiology Practice, 9(12)
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  • [11] Grulkowski, I., Gora, M., Szkulmowski, K., Gorczynska, I., Szlag, D., Marcos, S., Kowalczyk, A., Wojtkowski, M. (2009). Anterior segment imaging with Spectral OCT system using a high-speed CMOS camera, Optics Express, 17(6), 4842-4858
  • [12] Guillon, S., Tremouillaux-Guiller, J., Pati, P.K., Rideau, M., Gantet, P. (2006). Hairy root research: recent scenario and exciting prospects. Current Opinion in Plant Biology, 9, 341-346
  • [13] Guillon, S., Tremouillaux-Guiller, J., Pati, P.K., Rideau, M., Gantet, P. (2006). Harnessing the potential of hairy roots: dawn of a new era, Trends in Biotechnology, 24(9), 403-409
  • [14] Koprowski, R. , Wróbel, Z. (2011). Image Processing in Optical Coherence Tomography using Matlab, http://www.ncbi.nlm.nih.gov/books/ NBK97169/
  • [15] Kutis, I.S., Sapozhnikova, V.V., Kuranov, R.V.,. Kamenskii, V.A (2005). Study of the morphological and functional state of higher plant tissues by Optical Coherence Microscopy and Optical Coherence Tomography, Russian Journal of Plant Physiology, 52(4), 559-564
  • [16] Labatut, V., Cherifi, H. (2012), Accuracy Measures for the omparison of Classifiers, Computing Research Repository, abs/1207.3790
  • [17] Meglinski, I.V., Buranachai, C., Terry, L.A. (2010). Plant photonics: application of optical coherence tomography to monitor defects and rots in onion, Laser Physics Letters, 7(4), 307-310
  • [18] Page, J.E., Towers, G.H.N. (2005). Anthocyanins protect light-sensitive thiarubrine phototoxins, Planta, 215, 478-484
  • [19] Ramos, O., Rezaei, B. (2010). Scene Segmentation and Interpretation Image Segmentation using Region Growing, http://homepages.laas.fr/oramos/files/UdG/ImageSegmentation_RegionGrowing.pdf.
  • [20] Sheskin, D. (2003) Handbook of Parametric and Nonparametric Statistical Procedures, 3-rd Edition, CRC Press
  • [21] Szkulmowski, M., Szkulmowska, A., Bajraszewski, T., Kowalczyk, A., Wojtkowski, M. (2008). Flow velocity estimation using joint Spectral and Time domain Optical Coherence Tomography, Optics Express, 16(9), 6008-6025
  • [22] Welzel, J., Lankenau, E., Huttmann, E.G., Birngruber, R. (2008) OCT in Dermatology, In: W. Drexler, J. G. Fuijmoto Optical Coherence Tomography: Technology and Applications, 1103-1123
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8226c489-ff96-4725-9bb2-b56dee90eda7
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