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Computerized image-searching method for finding correct patients for misfiled chest radiographs in a PACS server by use of biological fingerprints

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Abstract

We have developed an automated image-searching method based on biological fingerprints for identifying correct patients in misfiled chest radiographs in a picture archiving and communication system (PACS) server. We used five biological fingerprints including distinctive anatomic structures in a misfiled chest radiograph of an unknown patient to find another image of the same patient stored with correct patient information in a PACS server. The correlation values were determined for the corresponding biological fingerprints in all images in the image server. The correlation indices as a measure of the overall similarity of the two images were determined from the summation of five correlation values and the combination of correlation values with the weighting factors. Finally, the correct patient was identified automatically by the image with the highest correlation index. By use of the summation of five correlation values as the correlation index, 78.0 % (156/200) of the 200 patients for misfiled images were correctly identified in the database. When we applied the weighting factors for each biological fingerprint to determine the correlation index, the performance in identifying the correct patient was improved to 87.5 % (175/200). An additional 5.0 % (10/200) of images were included in the Top 10 ranking of the correlation index in the database. These cases could be identified manually by radiology personnel. We conclude that the automated image-searching method based on biological fingerprints with weighting factors would be useful for identification of the correct patient in the case of misfiled chest radiographs in a PACS server.

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Acknowledgments

The authors thank Shigehiko Katsuragawa, Ph.D., retired professor of Kumamoto University, and Yoshiharu Sukenobu, Ph.D., Department of Radiology, Osaka University Hospital, for their helpful discussions in an early stage of this study. We are grateful to the editorial assistant of this journal, Mrs. Lanzl, for providing initial and final polishing of the submitted manuscript in improving the readability and English expressions, and the editors and reviewers for giving us useful comments and suggestions for improving our manuscript. This manuscript was partly supported by Akiyoshi Ohtsuka Fellowship of the Japanese Society of Radiological Technology for improvement in English expression of a draft version of the manuscript.

Conflict of interest

We have nothing to declare for this study.

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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

    Risa Toge

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

    Junji Morishita

  3. Department of Radiology, Iwate Prefectural Central Hospital, 1-4-1 Ueda, Morioka, 020-0066, Japan

    Yasuo Sasaki

  4. Department of Radiology, University of Chicago, 5841 South Maryland Avenue, Chicago, IL, 60637, USA

    Kunio Doi

  5. Gunma Prefectural College of Health Sciences, 323-1 Kamiokimachi, Maebashi, 371-0052, Japan

    Kunio Doi

Authors
  1. Risa Toge
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  2. Junji Morishita
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  3. Yasuo Sasaki
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  4. Kunio Doi
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Corresponding author

Correspondence to Risa Toge.

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Toge, R., Morishita, J., Sasaki, Y. et al. Computerized image-searching method for finding correct patients for misfiled chest radiographs in a PACS server by use of biological fingerprints. Radiol Phys Technol 6, 437–443 (2013). https://doi.org/10.1007/s12194-013-0221-6

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  • DOI: https://doi.org/10.1007/s12194-013-0221-6

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