TY - JOUR
T1 - Usefulness of biological fingerprint in magnetic resonance imaging for patient verification
AU - Ueda, Yasuyuki
AU - Morishita, Junji
AU - Kudomi, Shohei
AU - Ueda, Katsuhiko
N1 - Publisher Copyright:
© 2015, International Federation for Medical and Biological Engineering.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - The purpose of our study is to investigate the feasibility of automated patient verification using multi-planar reconstruction (MPR) images generated from three-dimensional magnetic resonance (MR) imaging of the brain. Several anatomy-related MPR images generated from three-dimensional fast scout scan of each MR examination were used as biological fingerprint images in this study. The database of this study consisted of 730 temporal pairs of MR examination of the brain. We calculated the correlation value between current and prior biological fingerprint images of the same patient and also all combinations of two images for different patients to evaluate the effectiveness of our method for patient verification. The best performance of our system were as follows: a half-total error rate of 1.59 % with a false acceptance rate of 0.023 % and a false rejection rate of 3.15 %, an equal error rate of 1.37 %, and a rank-one identification rate of 98.6 %. Our method makes it possible to verify the identity of the patient using only some existing medical images without the addition of incidental equipment. Also, our method will contribute to patient misidentification error management caused by human errors.
AB - The purpose of our study is to investigate the feasibility of automated patient verification using multi-planar reconstruction (MPR) images generated from three-dimensional magnetic resonance (MR) imaging of the brain. Several anatomy-related MPR images generated from three-dimensional fast scout scan of each MR examination were used as biological fingerprint images in this study. The database of this study consisted of 730 temporal pairs of MR examination of the brain. We calculated the correlation value between current and prior biological fingerprint images of the same patient and also all combinations of two images for different patients to evaluate the effectiveness of our method for patient verification. The best performance of our system were as follows: a half-total error rate of 1.59 % with a false acceptance rate of 0.023 % and a false rejection rate of 3.15 %, an equal error rate of 1.37 %, and a rank-one identification rate of 98.6 %. Our method makes it possible to verify the identity of the patient using only some existing medical images without the addition of incidental equipment. Also, our method will contribute to patient misidentification error management caused by human errors.
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U2 - 10.1007/s11517-015-1380-x
DO - 10.1007/s11517-015-1380-x
M3 - Article
C2 - 26341617
AN - SCOPUS:84940843228
VL - 54
SP - 1341
EP - 1351
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
SN - 0140-0118
IS - 9
ER -