Skip to main content
SpringerLink
Log in

Control of Dissolving Cytostatics Using Computer Image Analysis

  • Conference paper
  • First Online:
Artificial Intelligence and Soft Computing (ICAISC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11509))

Included in the following conference series:

  • 1096 Accesses

Abstract

In this paper we present the concept and prototype of a visual inspection system for the control of dissolving cytostatics. It is a part of a broader system for the automatic preparation of cytostatics. The idea consists in rotating the vessel, stopping it, and analysing a sequence of images while the particles in the solution are still moving. We proposed 30 descriptors of the variability of statistical properties of image noise. We used PCA for the reduction of space dimensionality, and cross-validation to optimise the parameters of the method and to assess its performance. Our approach allows us to detect undissolved powder, even if the size of its particles is comparable with pixel size.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lagarce, F.: Centrally prepared cytotoxic drugs: what is the purpose of their quality control? Pharm. Technol. Hosp. Pharm. 2(1), 29–33 (2017)

    Google Scholar 

  2. Bogue, R.: Imaging technology opens up new robotic applications. Ind. Robot: Int. J. 38(4), 343–348 (2011). https://doi.org/10.1108/01439911111132021

    Article  MathSciNet  Google Scholar 

  3. Tadeusiewicz, R.: How intelligent should be system for image analysis? In: Kwasnicka, H., Jain, L.C. (eds.) Innovations in Intelligent Image Analysis. Studies in Computational Intelligence, vol. 339, pp. V–X. Springer, Heidelberg (2011)

    Google Scholar 

  4. Chen, W.H., Shen, L.J., Guan, R.J., Wu, F.L.: Assessment of an automatic robotic arm for dispensing of chemotherapy in a 2500-bed medical center. J. Formos. Med. Assoc. 112(4), 193–200 (2013)

    Article  Google Scholar 

  5. Ensslin, A.S., et al.: Biological monitoring of hospital pharmacy personnel occupationally exposed to cytostatic drugs: urinary excretion and cytogenetics studies. Int. Arch. Occup. Environ. Health 70(3), 205–208 (1997)

    Article  Google Scholar 

  6. Sessink, P.J.M.: Environmental contamination with cytostatic drugs: past, present and future. Saf. Consid. Oncol. Pharm. 2011(Fall), 3–5 (2011)

    Google Scholar 

  7. Zivkovic, Z., Heijden, F.: Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recogn. Lett. 27(7), 773–780 (2006)

    Article  Google Scholar 

  8. Savitzky, A., Golay, M.J.E.: Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36(8), 1627–1639 (1964). https://doi.org/10.1021/ac60214a047

    Article  Google Scholar 

  9. Schafer, R.W.: What is a Savitzky-Golay filter? IEEE Signal Process. Mag. 28(4), 111–117 (2011). https://doi.org/10.1109/MSP.2011.941097

    Article  Google Scholar 

  10. Jolliffe, I.T.: Principal Component Analysis. Springer Series in Statistics. Springer, New York (2002). https://doi.org/10.1007/b98835

    Book  MATH  Google Scholar 

  11. Abdi, H., Williams, L.J.: Principal component analysis. Wiley Interdisc. Rev.: Comput. Stat. 2, 433–459 (2010)

    Article  Google Scholar 

  12. Russ, J.C.: The Image Processing Handbook. CRC Press, Boca Raton (2011)

    MATH  Google Scholar 

  13. Refaeilzadeh, P., Tang, L., Liu, H.: Cross-validation. In: Özsu, M.T., Liu, L. (eds.) Encyclopedia of Database Systems. Springer, Boston (2009). https://doi.org/10.1007/978-0-387-39940-9

    Chapter  Google Scholar 

  14. Kohavi, R.: A study of cross-validation and bootstrap for accuracy estimation and model selection. In: Proceedings of International Joint Conference on AI 1995, pp. 1137–1145

    Google Scholar 

  15. Rotter, P., Muron, W.: Algorytmy wizyjnego systemu sterowania i kontroli dla zautomatyzowanego procesu przygotowywania leków cytostatycznych (Algorithms for vision-based control and inspection system for automated process of cytostatics’ preparation). NOT Rzeszów - Naczelna Organizacja Techniczna (2016)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the National Centre for Research and Development (NCBiR) within the Applied Research Programme, research grant PBS1/A9/1/2012.

Author information

Authors and Affiliations

  1. Department of Automatic Control and Robotics, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Pawel Rotter & Wiktor Muron

Authors
  1. Pawel Rotter
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wiktor Muron
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pawel Rotter .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rotter, P., Muron, W. (2019). Control of Dissolving Cytostatics Using Computer Image Analysis. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20915-5_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20914-8

  • Online ISBN: 978-3-030-20915-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation