دورية أكاديمية
2D–3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks
| العنوان: | 2D–3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks |
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| المؤلفون: | Ryoya Shiode, Mototaka Kabashima, Yuta Hiasa, Kunihiro Oka, Tsuyoshi Murase, Yoshinobu Sato, Yoshito Otake |
| المصدر: | Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
| بيانات النشر: | Nature Portfolio, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Abstract The purpose of the study was to develop a deep learning network for estimating and constructing highly accurate 3D bone models directly from actual X-ray images and to verify its accuracy. The data used were 173 computed tomography (CT) images and 105 actual X-ray images of a healthy wrist joint. To compensate for the small size of the dataset, digitally reconstructed radiography (DRR) images generated from CT were used as training data instead of actual X-ray images. The DRR-like images were generated from actual X-ray images in the test and adapted to the network, and high-accuracy estimation of a 3D bone model from a small data set was possible. The 3D shape of the radius and ulna were estimated from actual X-ray images with accuracies of 1.05 ± 0.36 and 1.45 ± 0.41 mm, respectively. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 83675418 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-021-94634-2 |
| URL الوصول: | https://doaj.org/article/83675418f1a14881943041ec4d68ec1a |
| رقم الأكسشن: | edsdoj.83675418f1a14881943041ec4d68ec1a |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20452322 83675418 |
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| DOI: | 10.1038/s41598-021-94634-2 |