Automated Magnetic Resonance Image Segmentation of Spinal Structures at the L4‐5 Level with Deep Learning: 3D Reconstruction of Lumbar Intervertebral Foramen

Automated Magnetic Resonance Image Segmentation of Spinal Structures at the L4‐5 Level with Deep Learning: 3D Reconstruction of Lumbar Intervertebral Foramen

Objective 3D reconstruction of lumbar intervertebral foramen (LIVF) has been beneficial in evaluating surgical trajectory. Still, the current methods of reconstructing the 3D LIVF model are mainly based on manual segmentation, which is laborious and time‐consuming. This study aims to explore the fea...

Full description

Bibliographic Details
Main Authors: Tao Chen, Zhi‐hai Su, Zheng Liu, Min Wang, Zhi‐fei Cui, Lei Zhao, Lian‐jun Yang, Wei‐cong Zhang, Xiang Liu, Jin Liu, Shu‐yuan Tan, Shao‐lin Li, Qian‐jin Feng, Shu‐mao Pang, Hai Lu
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:Orthopaedic Surgery
Subjects:
3D reconstruction
Automated magnetic resonance image segmentation
Deep learning
Lumbar intervertebral foramen
Online Access:https://doi.org/10.1111/os.13431

Internet

https://doi.org/10.1111/os.13431

Similar Items