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Adolescent idiopathic scoliosis (AIS) is a common spinal deformity affecting approximately 2.2% of boys and 4.8% of girls worldwide. The Cobb angle serves as the gold standard for AIS severity assessment, yet traditional manual measurements…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Chang Shi , Nan Meng , Yipeng Zhuang , Moxin Zhao , Jason Pui Yin Cheung , Hua Huang , Xiuyuan Chen , Cong Nie , Wenting Zhong , Guiqiang Jiang , Yuxin Wei , Jacob Hong Man Yu , Si Chen , Xiaowen Ou , Teng Zhang

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. We…

Computer Vision and Pattern Recognition · Computer Science 2019-11-01 Bidur Khanal , Lavsen Dahal , Prashant Adhikari , Bishesh Khanal

Scoliosis is a three-dimensional deformity of the spine, most often diagnosed in childhood. It affects 2-3% of the population, which is approximately seven million people in North America. Currently, the reference standard for assessing…

Image and Video Processing · Electrical Eng. & Systems 2022-11-28 Chaojun Chen , Khashayar Namdar , Yujie Wu , Shahob Hosseinpour , Manohar Shroff , Andrea S. Doria , Farzad Khalvati

Objectives: To quantify the magnitude of spinal deformity in adolescent idiopathic scoliosis (AIS), the Cobb angle is measured on X-ray images of the spine. Continuous exposure to X-ray radiation to follow-up the progression of scoliosis…

Image and Video Processing · Electrical Eng. & Systems 2023-01-31 Bahare Samadi , Maxime Raison , Philippe Mahaudens , Christine Detrembleur , Sofiane Achiche

The current clinical gold standard for evaluating adolescent idiopathic scoliosis (AIS) is X-ray radiography, using Cobb angle measurement. However, the frequent monitoring of the AIS progression using X-rays poses a challenge due to the…

Scoliosis is a congenital disease in which the spine is deformed from its normal shape. Measurement of scoliosis requires labeling and identification of vertebrae in the spine. Spine radiographs are the most cost-effective and accessible…

Image and Video Processing · Electrical Eng. & Systems 2020-04-16 Abdullah-Al-Zubaer Imran , Chao Huang , Hui Tang , Wei Fan , Kenneth M. C. Cheung , Michael To , Zhen Qian , Demetri Terzopoulos

Scoliosis is a sideways curvature of the spine that most often is diagnosed among young teenagers. It dramatically affects the quality of life, which can cause complications from heart and lung injuries in severe cases. The current gold…

Image and Video Processing · Electrical Eng. & Systems 2022-11-01 Yen Hoang Nguyen

The Cobb angle that quantitatively evaluates the spinal curvature plays an important role in the scoliosis diagnosis and treatment. Conventional measurement of these angles suffers from huge variability and low reliability due to intensive…

Computer Vision and Pattern Recognition · Computer Science 2020-12-24 Haoliang Sun , Xiantong Zhen , Chris Bailey , Parham Rasoulinejad , Yilong Yin , Shuo Li

Vertebral landmark localization is a crucial step for variant spine-related clinical applications, which requires detecting the corner points of 17 vertebrae. However, the neighbor landmarks often disturb each other for the homogeneous…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Zhiwei Wang , Jinxin Lv , Yunqiao Yang , Yuanhuai Liang , Yi Lin , Qiang Li , Xin Li , Xin Yang

Scoliosis, a prevalent condition characterized by abnormal spinal curvature leading to deformity, requires precise assessment methods for effective diagnosis and management. The Cobb angle is a widely used scoliosis quantification method…

Cobb angle, which is a measure of spinal curvature is the standard method for quantifying the magnitude of Scoliosis related to spinal deformity in orthopedics. Determining the Cobb angle through manual process is subject to human errors.…

Computer Vision and Pattern Recognition · Computer Science 2012-11-26 Raka Kundu , Amlan Chakrabarti , Prasanna K. Lenka

Automated Cobb angle estimation based on X-ray images plays an important role in scoliosis diagnosis, treatment, and progression surveillance. The inadequate feature extraction and the noise in X-ray images are the main difficulties of…

Image and Video Processing · Electrical Eng. & Systems 2024-05-31 Jie Yang , Jiankun Wang , Max Q. -H. Meng

Scoliosis affects roughly 2 to 4 percent of adolescents, and treatment decisions depend on precise Cobb angle measurement. Manual assessment is time consuming and subject to inter observer variation. We conducted a retrospective, multi…

Computer Vision and Pattern Recognition · Computer Science 2025-07-21 Šimon Kubov , Simon Klíčník , Jakub Dandár , Zdeněk Straka , Karolína Kvaková , Daniel Kvak

Scoliosis is a congenital disease that causes lateral curvature in the spine. Its assessment relies on the identification and localization of vertebrae in spinal X-ray images, conventionally via tedious and time-consuming manual…

Image and Video Processing · Electrical Eng. & Systems 2020-06-01 Abdullah-Al-Zubaer Imran , Chao Huang , Hui Tang , Wei Fan , Kenneth M. C. Cheung , Michael To , Zhen Qian , Demetri Terzopoulos

We propose a novel convolutional method for the detection and identification of vertebrae in whole spine MRIs. This involves using a learnt vector field to group detected vertebrae corners together into individual vertebral bodies and…

Image and Video Processing · Electrical Eng. & Systems 2020-07-14 Rhydian Windsor , Amir Jamaludin , Timor Kadir , Andrew Zisserman

Scoliosis is a spinal curvature disorder that is difficult to detect early and can compress the chest cavity, impacting respiratory function and cardiac health. Especially for adolescents, delayed detection and treatment result in worsening…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Haiqing Li , Yuzhi Guo , Feng Jiang , Qifeng Zhou , Hehuan Ma , Junzhou Huang

Adolescent Idiopathic Scoliosis (AIS) is a prevalent spinal deformity whose progression can be mitigated through early detection. Conventional screening methods are often subjective, difficult to scale, and reliant on specialized clinical…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Dong Chen , Zizhuang Wei , Jialei Xu , Xinyang Sun , Zonglin He , Meiru An , Huili Peng , Yong Hu , Kenneth MC Cheung

In biomechanical modeling, the representation of ligament attachments is crucial for a realistic simulation of the forces acting between the vertebrae. These forces are typically modeled as vectors connecting ligament landmarks on adjacent…

Computer Vision and Pattern Recognition · Computer Science 2026-01-26 Lara Blomenkamp , Ivanna Kramer , Sabine Bauer , Theresa Schöche

Automated methods for Cobb angle estimation are of high demand for scoliosis assessment. Existing methods typically calculate the Cobb angle from landmark estimation, or simply combine the low-level task (e.g., landmark detection and spine…

Computer Vision and Pattern Recognition · Computer Science 2022-08-29 Yi Lin , Luyan Liu , Kai Ma , Yefeng Zheng

MRI is preferred over CT in paediatric imaging because it avoids ionising radiation, but its use in spine deformity assessment is largely limited by the lack of automated, high-resolution 3D bony reconstruction, which continues to rely on…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Nathasha Naranpanawa , Maree T. Izatt , Robert D. Labrom , Geoffrey N. Askin , J. Paige Little
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