Usefulness of biological fingerprint in magnetic resonance imaging for patient verification
| العنوان: | Usefulness of biological fingerprint in magnetic resonance imaging for patient verification |
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| المؤلفون: | Shohei Kudomi, Junji Morishita, Katsuhiko Ueda, Yasuyuki Ueda |
| المصدر: | Medical & Biological Engineering & Computing. 54:1341-1351 |
| بيانات النشر: | Springer Science and Business Media LLC, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Adult, Male, Patient Identification Systems, Biometrics, Computer science, Biomedical Engineering, Word error rate, computer.software_genre, 030218 nuclear medicine & medical imaging, Identification rate, Young Adult, 03 medical and health sciences, Patient safety, Imaging, Three-Dimensional, 0302 clinical medicine, Fingerprint, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, medicine, Humans, Aged, Retrospective Studies, Aged, 80 and over, Brain Diseases, medicine.diagnostic_test, business.industry, Brain, Magnetic resonance imaging, Pattern recognition, Middle Aged, Magnetic Resonance Imaging, Correlation value, Computer Science Applications, 030220 oncology & carcinogenesis, Female, Data mining, Artificial intelligence, business, computer, Scout Scan |
| الوصف: | 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. |
| تدمد: | 1741-0444 0140-0118 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5304e46bda5f1bddbc2b8566953702df https://doi.org/10.1007/s11517-015-1380-x |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....5304e46bda5f1bddbc2b8566953702df |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 17410444 01400118 |
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