Skip to main content
SpringerLink
Log in

Evaluation of the usefulness of modified biological fingerprints in chest radiographs for patient recognition and identification

  • Published:
Radiological Physics and Technology Aims and scope Submit manuscript

Abstract

We have been developing an image-searching method to identify misfiled images in a PACS server. Developing new biological fingerprints (BFs) that would reduce the influence of differences in positioning and breathing phases to improve the performance of recognition is desirable. In our previous studies, the whole lung field (WLF) that included the shadows of the body and lungs was affected by differences in positioning and/or breathing phases. In this study, we showed the usefulness of a circumscribed lung with a rectangular region of interest and the upper half of a chest radiograph as modified BFs. We used 200 images as hypothetically misfiled images. The cross-correlation identifies the resemblance between the BFs in the misfiled images and the corresponding BFs in the database images. The modified BFs indicated better results than did WLF in a receiver operating characteristic analysis; therefore, they could be used as identifiers for patient recognition and identification.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Morishita J, Watanabe H, Katsuragawa S, Oda N, Sukenobu Y, Okazaki H, Nakata H, Doi K. Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors or chest radiographs. Acad Radiol. 2005;12(1):97–103.

    Article  PubMed  Google Scholar 

  2. Morishita J, Katsuragawa S, Kondo K, Doi K. An automated patient recognition method based on an image-matching technique using previous chest radiographs in the picture archiving and communication system environment. Med Phys. 2001;28(6):1093–7.

    Article  CAS  PubMed  Google Scholar 

  3. Kondo K, Morishita J, Doi K. Katsuragawa. Development of an automated patient recognition method for chest radiographs using edge enhanced images. Jpn J Radiol Technol. 2003;59(10):1277–84 (in Japanese).

    Google Scholar 

  4. Morishita J, Katsuragawa S, Sasaki Y, Doi K. Potential usefulness of biological fingerprints in chest radiographs for an automated patient recognition. Acad Radiol. 2004;11(3):309–15.

    Article  PubMed  Google Scholar 

  5. Toge R, Morishita J, Sasaki Y, Doi K. Computerized image-searching method for finding correct patients for chest radiographs in a PACS server by use of biological fingerprints. Radiol Phys Technol. 2013;6:437–43.

    Article  PubMed  Google Scholar 

  6. Kao EF, Lin WC, Jaw TS, Liu GC, Wu JS, Lee CN. Automated patient identify recognition by analysis of chest radiograph features. Acad Radiol. 2013;20(8):1024–31.

    Article  PubMed  Google Scholar 

  7. Sasaki Y, Abe K, Tabei M, Katsuragawa S, Kurosaki A, Matsuoka S. Clinical usefulness of temporal subtraction method in screening digital chest radiography with a mobile computed radiography system. Radiol Phys Technol. 2011;4:84–90.

    Article  PubMed  Google Scholar 

  8. Xu X-W, Doi K. Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs. Med Phys. 1995;22(5):617–26.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the editorial assistant of this journal, Mrs. Lanzl, for providing initial and final polishing of our manuscript to improve the readability and the English expressions.

Author information

Authors and Affiliations

  1. Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan

    Yoichiro Shimizu & Yusuke Matsunobu

  2. Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan

    Junji Morishita

Authors
  1. Yoichiro Shimizu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yusuke Matsunobu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Junji Morishita
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yoichiro Shimizu.

Ethics declarations

Conflict of interest

We have no conflict of interest to declare for this study.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shimizu, Y., Matsunobu, Y. & Morishita, J. Evaluation of the usefulness of modified biological fingerprints in chest radiographs for patient recognition and identification. Radiol Phys Technol 9, 240–244 (2016). https://doi.org/10.1007/s12194-016-0355-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12194-016-0355-4

Keywords

Search

Navigation