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

Risa Toge, Junji Morishita, Yasuo Sasaki, Kunio Doi

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)437-443
Number of pages7
JournalRadiological physics and technology
Volume6
Issue number2
DOIs
Publication statusPublished - Jul 1 2013

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Radiology Information Systems
chest
Dermatoglyphics
telecommunication
Thorax
Databases
Biological Factors
radiology
ranking
Radiology
personnel

All Science Journal Classification (ASJC) codes

  • Radiation
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Radiology Nuclear Medicine and imaging

Cite this

Computerized image-searching method for finding correct patients for misfiled chest radiographs in a PACS server by use of biological fingerprints. / Toge, Risa; Morishita, Junji; Sasaki, Yasuo; Doi, Kunio.

In: Radiological physics and technology, Vol. 6, No. 2, 01.07.2013, p. 437-443.

Research output: Contribution to journalArticle

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