Development of a method of automated extraction of biological fingerprints from chest radiographs as preprocessing of patient recognition and identification

Yoichiro Shimizu, Junji Morishita

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper describes the development of an automated method of extraction of biological fingerprints (BFs), including detection of image orientation in chest radiographs. The image orientation of a target image was recognized and modified by examination of normalized cross-correlation values between a target image and averaged male and female images with correct image orientation. Templates of BFs were extracted from averaged images. Then, each BF in the target image was extracted from locations that showed the highest cross-correlation value between the template of BF in the averaged image and the corresponding BF in the target image. With our method, 100% (200/200) of image orientations were recognized correctly. If the orientation was recognized as inappropriate, our algorithm modified it into the appropriate chest image orientation. In addition, the BFs automatically extracted from target images were improved. This method would be useful in a preprocessing system for patient recognition and identification.

Original languageEnglish
Pages (from-to)376-381
Number of pages6
JournalRadiological Physics and Technology
Volume10
Issue number3
DOIs
Publication statusPublished - Sep 1 2017

Fingerprint

chest
Dermatoglyphics
preprocessing
Thorax
Patient Identification Systems
cross correlation
templates
examination

All Science Journal Classification (ASJC) codes

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

Cite this

@article{1a37e991aa044422b1280800f25a53fe,
title = "Development of a method of automated extraction of biological fingerprints from chest radiographs as preprocessing of patient recognition and identification",
abstract = "This paper describes the development of an automated method of extraction of biological fingerprints (BFs), including detection of image orientation in chest radiographs. The image orientation of a target image was recognized and modified by examination of normalized cross-correlation values between a target image and averaged male and female images with correct image orientation. Templates of BFs were extracted from averaged images. Then, each BF in the target image was extracted from locations that showed the highest cross-correlation value between the template of BF in the averaged image and the corresponding BF in the target image. With our method, 100{\%} (200/200) of image orientations were recognized correctly. If the orientation was recognized as inappropriate, our algorithm modified it into the appropriate chest image orientation. In addition, the BFs automatically extracted from target images were improved. This method would be useful in a preprocessing system for patient recognition and identification.",
author = "Yoichiro Shimizu and Junji Morishita",
year = "2017",
month = "9",
day = "1",
doi = "10.1007/s12194-017-0400-y",
language = "English",
volume = "10",
pages = "376--381",
journal = "Radiological Physics and Technology",
issn = "1865-0333",
publisher = "Springer Japan",
number = "3",

}

TY - JOUR

T1 - Development of a method of automated extraction of biological fingerprints from chest radiographs as preprocessing of patient recognition and identification

AU - Shimizu, Yoichiro

AU - Morishita, Junji

PY - 2017/9/1

Y1 - 2017/9/1

N2 - This paper describes the development of an automated method of extraction of biological fingerprints (BFs), including detection of image orientation in chest radiographs. The image orientation of a target image was recognized and modified by examination of normalized cross-correlation values between a target image and averaged male and female images with correct image orientation. Templates of BFs were extracted from averaged images. Then, each BF in the target image was extracted from locations that showed the highest cross-correlation value between the template of BF in the averaged image and the corresponding BF in the target image. With our method, 100% (200/200) of image orientations were recognized correctly. If the orientation was recognized as inappropriate, our algorithm modified it into the appropriate chest image orientation. In addition, the BFs automatically extracted from target images were improved. This method would be useful in a preprocessing system for patient recognition and identification.

AB - This paper describes the development of an automated method of extraction of biological fingerprints (BFs), including detection of image orientation in chest radiographs. The image orientation of a target image was recognized and modified by examination of normalized cross-correlation values between a target image and averaged male and female images with correct image orientation. Templates of BFs were extracted from averaged images. Then, each BF in the target image was extracted from locations that showed the highest cross-correlation value between the template of BF in the averaged image and the corresponding BF in the target image. With our method, 100% (200/200) of image orientations were recognized correctly. If the orientation was recognized as inappropriate, our algorithm modified it into the appropriate chest image orientation. In addition, the BFs automatically extracted from target images were improved. This method would be useful in a preprocessing system for patient recognition and identification.

UR - http://www.scopus.com/inward/record.url?scp=85018257553&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018257553&partnerID=8YFLogxK

U2 - 10.1007/s12194-017-0400-y

DO - 10.1007/s12194-017-0400-y

M3 - Article

VL - 10

SP - 376

EP - 381

JO - Radiological Physics and Technology

JF - Radiological Physics and Technology

SN - 1865-0333

IS - 3

ER -