Optimization of Numerical Calculations of Geometric Features of a Curve Describing Preprocessed X-Ray Images of Bones as a Starting Point for Syntactic Analysis of Finger Bone Contours | SpringerLink
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Optimization of Numerical Calculations of Geometric Features of a Curve Describing Preprocessed X-Ray Images of Bones as a Starting Point for Syntactic Analysis of Finger Bone Contours

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Computer Vision and Graphics (ICCVG 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

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Abstract

Analysis of bone contours in X-ray images is crucial for the detection of pathological changes such as erosions and osteophytes. The analysis is done by using shape languages. In this approach the contour received from the preprocessing procedure is segmented into fragments according to geometrical properties of the contour. The properties are characterized by monotonicity and convexity of the contour. Two aforementioned features are deduced by using the first and second derivatives that are calculated numerically. On the one hand the used numerical procedure can smooth the analyzed contour. On the other hand, however, the more smoothed the contour is, the more chance that the small pathological changes remain undetected. Finding the optimal numerical procedure for X-ray hand images is the aim of this paper. (This paper was supported by the AGH - University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection as a part of the statutory project).

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References

  1. Bielecka, M., Korkosz, M.: Generalized shape language application to detection of a specific type of bone erosion in X-ray images. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2016. LNCS (LNAI), vol. 9692, pp. 531–540. Springer, Heidelberg (2016). doi:10.1007/978-3-319-39378-0_45

    Chapter  Google Scholar 

  2. Bielecka, M., Bielecki, A., Korkosz, M., Skomorowski, M., Wojciechowski, W., Zieliński, B.: Modified jakubowski shape transducer for detecting osteophytes and erosions in finger joints. In: Dobnikar, A., Lotrič, U., Šter, B. (eds.) ICANNGA 2011. LNCS, vol. 6594, pp. 147–155. Springer, Heidelberg (2011). doi:10.1007/978-3-642-20267-4_16

    Chapter  Google Scholar 

  3. Benerjee, S., Bhunia, S., Schaefer, G.: Osteophyte detection for hand osteoarthritis identification in X-ray images using CNNs. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 6196–6199 (2011)

    Google Scholar 

  4. Bielecka, M., Bielecki, A., Korkosz, M., Skomorowski, M., Wojciechowski, W., Zieliński, B.: Application of shape description methodology to hand radiographs interpretation. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010. LNCS, vol. 6374, pp. 11–18. Springer, Heidelberg (2010). doi:10.1007/978-3-642-15910-7_2

    Chapter  Google Scholar 

  5. Bielecka, M., Piórkowski, A.: Adaptive preprocessing of X-ray hand images. In: Piętka, E., Kawa, J., Wieclawek, W. (eds.) Information Technologies in Biomedicine, Volume 3. AISC, vol. 283, pp. 61–70. Springer, Heidelberg (2014). doi:10.1007/978-3-319-06593-9_6

    Chapter  Google Scholar 

  6. Bielecka, M., Skomorowski, M., Zieliński, B.: A fuzzy shape descriptor and inference by fuzzy relaxation with application to description of bones contours at hand radiographs. In: Kolehmainen, M., Toivanen, P., Beliczynski, B. (eds.) ICANNGA 2009. LNCS, vol. 5495, pp. 469–478. Springer, Heidelberg (2009). doi:10.1007/978-3-642-04921-7_48

    Chapter  Google Scholar 

  7. Bielecki, A., Korkosz, M., Wojciechowski, W., Zieliński, B.: Identifying the borders of the upper and lower metacarpophalangeal joint surfaces on hand radiographs. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010. LNCS (LNAI), vol. 6113, pp. 589–596. Springer, Heidelberg (2010). doi:10.1007/978-3-642-13208-7_73

    Chapter  Google Scholar 

  8. Bielecki, A., Korkosz, M., Zieliński, B.: Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation. Pattern Recogn. 41, 3786–3798 (2008)

    Article  Google Scholar 

  9. Bottcher, J., Pfeil, A., Rosholm, A., Petrovitch, A., Seidl, B.E., Malich, A., Schäfer, M.L., Kramer, A., Mentzel, H.J., Lehmann, G., Hein, G., Kaiser, W.A.: Digital X-ray radiogrammetry combined with semiautomated analysis of joint space widths as a new diagnostic approach in rheumatoid arthritis: a cross-sectional and longitudal study. Arthritis Rheum. 52, 3850–3859 (2006)

    Article  Google Scholar 

  10. Choi, S., Lee, G.J., Hong, S.J., Park, K.H., Urtnasan, T., Park, H.K.: Development of a joint space width measurement method based on radiographic hand images. Comput. Biol. Med. 41, 987–998 (2011)

    Article  Google Scholar 

  11. Davis, L., Theobald, B.-J., Toms, A., Bagnall, A.: On the extraction and classification of hand outlines. In: Yin, H., Wang, W., Rayward-Smith, V. (eds.) IDEAL 2011. LNCS, vol. 6936, pp. 92–99. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23878-9_12

    Chapter  Google Scholar 

  12. Davis, L., Theobald, B.J., Lines, J., Toms, A., Bagnall, A.: On the segmentation and classification of hand radiographs. Int. J. Neural Syst. 22, 1250020–1250036 (2012)

    Article  Google Scholar 

  13. Jakubowski, R.: Extraction of shape features for syntactic recognition of mechanical parts. IEEE Trans. Syst. Man Cybern. 15, 642–651 (1985)

    Article  MATH  Google Scholar 

  14. Jakubowski, R.: A structural representation of shape and its features. Inf. Sci. 39, 129–151 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  15. Nurzynska, K., Smolka, B.: Automatic finger joint synovitis localization in ultrasound images. In: Proceedings of the SPIE, vol. 9897, pp: 98970N–98970N-11 (2016). doi:10.1117/12.2227638

  16. Piórkowski, A., Gronkowska–Serafin, J.: Towards precise segmentation of corneal endothelial cells. In: Ortuño, F., Rojas, I. (eds.) IWBBIO 2015. LNCS, vol. 9043, pp. 240–249. Springer, Heidelberg (2015). doi:10.1007/978-3-319-16483-0_25

    Google Scholar 

  17. Piórkowski, A.: A statistical dominance algorithm for edge detection and segmentation of medical images. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds.) Information Technologies in Medicine. AISC, vol. 471, pp. 3–14. Springer, Heidelberg (2016). doi:10.1007/978-3-319-39796-2_1

    Chapter  Google Scholar 

  18. Ogiela, M., Tadeusiewicz, R.: Picture languages in automatic radiological palm interpretation. Int. J. Appl. Math. Comput. Sci. 15, 305–312 (2005)

    Google Scholar 

  19. Ogiela, M.R., Tadeusiewicz, R., Ogiela, L.: Image languages in intelligent radiological palm diagnostics. Pattern Recogn. 39, 2157–2165 (2006)

    Article  MATH  Google Scholar 

  20. Ogiela, M.R., Tadeusiewicz, R.: Syntactic pattern recognition for X-ray diagnosis of pancreatic cancer-algorithms for analyzing the morphologic shape of pancreatic ducts for early diagnosis of changes in the pancreas. IEEE Eng. Med. Biol. Mag. 19, 94–105 (2000)

    Article  Google Scholar 

  21. Pietka, E., Gertych, A., Pospiech-Kurkowska, S., Cao, F., Huang, H., Gilzanz, V., et al.: Computer-assisted bone age assessment: graphical user interface for image processing and comparison. J. Digit. Imaging 17(3), 175–188 (2004)

    Article  Google Scholar 

  22. Pietka, E., Gertych, A., Pospiech, S., Cao, F., Huang, H., Gilsanz, V.: Computer-assisted bone age assessment: Image preprocessing and epiphyseal/metaphyseal ROI extraction. IEEE Trans. Med. Imaging 20(8), 715–729 (2001)

    Article  Google Scholar 

  23. Sharp, J., Gardner, J.: Bennett E: Computer-based methods for measuring joint space and estimating erosion volume in the finger and wrist joints of patients with rheumatoid arthritis. Arthritis Rheum. 43, 1378–1386 (2000)

    Article  Google Scholar 

  24. Tadeusiewicz, R., Korohoda, P.: Computer analysis and image processing. Progress of Telecommunication Foundation Publishing House, Cracow (1997)

    Google Scholar 

  25. Zieliński, B., Skomorowski, M., Wojciechowski, W., Korkosz, M., Sprȩżak, K.: Computer aided erosions and osteophytes detection based on hand radiographs. Pattern Recogn. 48, 2304–2317 (2015)

    Article  Google Scholar 

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Authors and Affiliations

  1. Chair of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Marzena Bielecka & Adam Piórkowski

Authors
  1. Marzena Bielecka
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  2. Adam Piórkowski
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Correspondence to Marzena Bielecka .

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Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Bielecka, M., Piórkowski, A. (2016). Optimization of Numerical Calculations of Geometric Features of a Curve Describing Preprocessed X-Ray Images of Bones as a Starting Point for Syntactic Analysis of Finger Bone Contours. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_32

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_32

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  • Online ISBN: 978-3-319-46418-3

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