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Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity

IEEE Transactions on Biomedical Engineering, 2023
An accurate identification and localization of vertebrae in X-ray images can assist doctors in measuring Cobb angles for treating patients with adolescent idiopathic scoliosis.
Wahyu Rahmaniar   +2 more
semanticscholar   +1 more source

MMA-Net: Multiple Morphology-Aware Network for Automated Cobb Angle Measurement

IEEE International Conference on Robotics and Automation, 2023
Scoliosis diagnosis and assessment depend largely on the measurement of the Cobb angle in spine X-ray images. With the emergence of deep learning techniques that employ landmark detection, tilt prediction, and spine segmentation, automated Cobb angle ...
Z. Qiu, Jie Yang, Jiankun Wang
semanticscholar   +1 more source

A Deep Learning Approach for Automatic Scoliosis Cobb Angle Identification

2022 IEEE World AI IoT Congress (AIIoT), 2022
Efficient and reliable medical image analysis is indispensable in modern healthcare settings. The conventional approaches in diagnostics and evaluations from a mere picture are complex.
R. R. Maaliw   +7 more
semanticscholar   +1 more source

Automating Cobb Angle Measurement for Adolescent Idiopathic Scoliosis using Instance Segmentation

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2022
Scoliosis is a three-dimensional deformity of the spine, often diagnosed in childhood. It affects 2-3% of the population, representing seven million people in North America.
Chao-Fu Chen   +6 more
semanticscholar   +1 more source

Heterogeneous Consistency Loss for Cobb Angle Estimation

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2021
Cobb angle is the most common quantification of the spine deformity called scoliosis. Recently, automatic Cobb angle estimation has become popular with either semantic segmentation networks or landmark detectors.
Yue Guo   +3 more
semanticscholar   +1 more source

Presurgical Short-term Halo-pelvic Traction for Severe Rigid Scoliosis (Cobb angle > 120°): A 2-year follow-up review of 62 patients.

Spine, 2020
STUDY DESIGN A 2-year follow-up review of 62 patients with severe rigid scoliosis (>120°). OBJECTIVE To evaluate the effectiveness and safety of halo-pelvic traction (HPT) for treating severe rigid scoliosis (>120°). SUMMARY OF BACKGROUND DATA Severe
Yu Wang   +4 more
semanticscholar   +1 more source

The Lumbosacral Takeoff Angle Can Be Used to Predict the Postoperative Lumbar Cobb Angle Following Selective Thoracic Fusion in Patients with Adolescent Idiopathic Scoliosis.

Journal of Bone and Joint Surgery. American volume, 2020
BACKGROUND Selective fusion of double curves in patients with scoliosis is considered to spare fusion levels. In 2011, we studied the lumbosacral takeoff angle, defined as the angle between the center-sacral vertical line and a line through the centra of
K. Bachmann   +4 more
semanticscholar   +1 more source

Perioperative Outcome of Single Stage Posterior Spinal Fusion for Severe Adolescent Idiopathic Scoliosis (AIS) (Cobb Angle ≥90°): The Role of a Dual Attending Surgeon Strategy

Spine, 2019
Study Design. Retrospective study. Objective. To evaluate the perioperative outcome of dual attending surgeon strategy for severe adolescent idiopathic scoliosis (AIS) patients with Cobb angle more than or equal to 90°. Summary of Background Data.
M. Kwan   +7 more
semanticscholar   +1 more source

Can C2-6 Cobb Angle Replace C2-7 Cobb Angle?: An Analysis of Cervical Kinetic Magnetic Resonance Images and X-rays

Spine, 2019
Study Design. Retrospective study of consecutive 113 cervical kinetic magnetic resonance images (kMRIs) and 57 radiographs. Objective. To elucidate the relationship between C2-6 or C2-7 Cobb angle and cervical sagittal alignment parameters using kMRI ...
Jiandang Zhang   +4 more
semanticscholar   +1 more source

Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression

CSI@MICCAI, 2019
Correct evaluation and treatment of Scoliosis require accurate estimation of spinal curvature. Current gold standard is to manually estimate Cobb Angles in spinal X-ray images which is time consuming and has high inter-rater variability.
Bidur Khanal   +3 more
semanticscholar   +1 more source

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