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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

Scoliosis is a condition defined by an abnormal spinal curvature. For diagnosis and treatment planning of scoliosis, spinal curvature can be estimated using Cobb angles. We propose an automated method for the estimation of Cobb angles from…

Image and Video Processing · Electrical Eng. & Systems 2019-12-12 Florian Dubost , Benjamin Collery , Antonin Renaudier , Axel Roc , Nicolas Posocco , Gerda Bortsova , Wiro Niessen , Marleen de Bruijne

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…

Curvature angle is a quantitative measurement of a curve, in which Cobb angle is customized for spinal curvature. Automatic Cobb angle measurement from X-ray images is crucial for scoliosis screening and diagnosis. However, most existing…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Zhiwen Shao , Yichen Yuan , Lizhuang Ma , Xiaojia Zhu

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

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…

Image and Video Processing · Electrical Eng. & Systems 2023-09-26 Zhengxuan Qiu , Jie Yang , Jiankun Wang

Local perturbations around contours strongly disturb the final result of computer vision tasks. It is common to introduce a priori information in the estimation process. Improvement can be achieved via a deformable model such as the snake…

Computer Vision and Pattern Recognition · Computer Science 2016-04-01 R. L. B. Breder , Vania V. Estrela , J. T. de Assis

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

Our objective in this paper is to estimate spine curvature in DXA scans. To this end we first train a neural network to predict the middle spine curve in the scan, and then use an integral-based method to determine the curvature along the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-17 Amir Jamaludin , Timor Kadir , Emma Clark , Andrew Zisserman

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

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

Spine segmentation, based on ultrasound volume projection imaging (VPI), plays a vital role for intelligent scoliosis diagnosis in clinical applications. However, this task faces several significant challenges. Firstly, the global…

Computer Vision and Pattern Recognition · Computer Science 2025-10-31 Hao Xie , Zixun Huang , Yushen Zuo , Yakun Ju , Frank H. F. Leung , N. F. Law , Kin-Man Lam , Yong-Ping Zheng , Sai Ho Ling

We present CUBE (Control-based Unified B-spline Encoding), a new geometric representation for human faces that combines B-spline volumes with learned features, and demonstrate its use as a decoder for 3D scan registration and monocular 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Prashanth Chandran , Daoye Wang , Timo Bolkart

The scoliosis progression in adolescents requires close monitoring to timely take treatment measures. Ultrasound imaging is a radiation-free and low-cost alternative in scoliosis assessment to X-rays, which are typically used in clinical…

Image and Video Processing · Electrical Eng. & Systems 2021-09-14 Maria Victorova , Michael Ka-Shing Lee , David Navarro-Alarcon , Yongping Zheng

The idea of replacing hardware by software to compensate for scattered radiation in flat-panel X-ray imaging is well established in the literature. Recently, deep-learningbased image translation approaches, most notably the U-Net, have…

Ultrasound spine imaging technique has been applied to the assessment of spine deformity. However, manual measurements of scoliotic angles on ultrasound images are time-consuming and heavily rely on raters experience. The objectives of this…

Image and Video Processing · Electrical Eng. & Systems 2022-04-21 Zhichao Liu , Liyue Qian , Wenke Jing , Desen Zhou , Xuming He , Edmond Lou , Rui Zheng

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

The high prevalence of spinal stenosis results in a large volume of MRI imaging, yet interpretation can be time-consuming with high inter-reader variability even among the most specialized radiologists. In this paper, we develop an…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Jen-Tang Lu , Stefano Pedemonte , Bernardo Bizzo , Sean Doyle , Katherine P. Andriole , Mark H. Michalski , R. Gilberto Gonzalez , Stuart R. Pomerantz

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

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
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