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Vertebral body compression fractures are early signs of osteoporosis. Though these fractures are visible on Computed Tomography (CT) images, they are frequently missed by radiologists in clinical settings. Prior research on automatic…

Image and Video Processing · Electrical Eng. & Systems 2022-10-04 Alexey Zakharov , Maxim Pisov , Alim Bukharaev , Alexey Petraikin , Sergey Morozov , Victor Gombolevskiy , Mikhail Belyaev

Multi-class segmentation of vertebrae is a non-trivial task mainly due to the high correlation in the appearance of adjacent vertebrae. Hence, such a task calls for the consideration of both global and local context. Based on this…

Computer Vision and Pattern Recognition · Computer Science 2017-03-14 Anjany Sekuboyina , Alexander Valentinitsch , Jan S. Kirschke , Bjoern H. Menze

Image segmentation in the medical domain is a challenging field owing to poor resolution and limited contrast. The predominantly used conventional segmentation techniques and the thresholding methods suffer from limitations because of heavy…

Computer Vision and Pattern Recognition · Computer Science 2016-05-10 Jiyo. S. Athertya , G. Saravana Kumar

Cervical spine fractures demand rapid and accurate diagnosis for effective clinical management. This study presents an automated, end-to-end pipeline for fracture detection across cervical vertebrae (C1--C7) that assesses the feasibility of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-05 Fabi Nahian Madhurja , Rusab Sarmun , Muhammad E. H. Chowdhury , Adam Mushtak , Israa Al-Hashimi , Sohaib Bassam Zoghoul

Accurate and automatic segmentation of intervertebral discs from medical images is a critical task for the assessment of spine-related diseases such as osteoporosis, vertebral fractures, and intervertebral disc herniation. To date, various…

Computer Vision and Pattern Recognition · Computer Science 2022-04-07 Reza Azad , Moein Heidari , Julien Cohen-Adad , Ehsan Adeli , Dorit Merhof

This work examines a disc-centric approach for automated severity grading of lumbar spinal stenosis from sagittal T2-weighted MRI. The method combines contrastive pretraining with disc-level fine-tuning, using a single anatomically…

Image and Video Processing · Electrical Eng. & Systems 2026-02-06 Sajjan Acharya , Pralisha Kansakar

Manual annotation of vertebrae on spinal X-ray imaging is costly and time-consuming due to bone shape complexity and image quality variations. In this study, we address this challenge by proposing an ensemble method called VertXNet, to…

Image and Video Processing · Electrical Eng. & Systems 2022-07-13 Yao Chen , Yuanhan Mo , Aimee Readie , Gregory Ligozio , Thibaud Coroller , Bartlomiej W. Papiez

Spine injections are commonly performed in several clinical procedures. The localization of the target vertebral level (i.e. the position of a vertebra in a spine) is typically done by back palpation or under X-ray guidance, yielding either…

Image and Video Processing · Electrical Eng. & Systems 2020-02-27 Maria Tirindelli , Maria Victorova , Javier Esteban , Seong Tae Kim , David Navarro-Alarcon , Yong Ping Zheng , Nassir Navab

Labeling vertebral discs from MRI scans is important for the proper diagnosis of spinal related diseases, including multiple sclerosis, amyotrophic lateral sclerosis, degenerative cervical myelopathy and cancer. Automatic labeling of the…

Image and Video Processing · Electrical Eng. & Systems 2021-08-29 Reza Azad , Lucas Rouhier , Julien Cohen-Adad

Accurate and reliable registration of longitudinal spine images is essential for assessment of disease progression and surgical outcome. Implementing a fully automatic and robust registration is crucial for clinical use, however, it is…

Automated segmentation of the vertebral column in Computed Tomography (CT) scans is a prerequisite for pathological assessment and surgical planning. However, state-of-the-art methods, particularly those based on Transformers or large-scale…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 K S Nithurshen , Saurabh J. Shigwan

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

Osteoporosis induced fractures occur worldwide about every 3 seconds. Vertebral compression fractures are early signs of the disease and considered risk predictors for secondary osteoporotic fractures. We present a detection method to…

Image and Video Processing · Electrical Eng. & Systems 2019-11-06 Joeri Nicolaes , Steven Raeymaeckers , David Robben , Guido Wilms , Dirk Vandermeulen , Cesar Libanati , Marc Debois

Long-term vertebral fractures severely affect the life quality of patients, causing kyphotic, lumbar deformity and even paralysis. Computed tomography (CT) is a common clinical examination to screen for this disease at early stages.…

Computer Vision and Pattern Recognition · Computer Science 2022-11-14 Xin Wei , Huaiwei Cong , Zheng Zhang , Junran Peng , Guoping Chen , Jinpeng Li

CT and MRI are two of the most informative modalities in spinal diagnostics and treatment planning. CT is useful when analysing bony structures, while MRI gives information about the soft tissue. Thus, fusing the information of both…

Cervical spine fractures constitute a critical medical emergency, with the potential for lifelong paralysis or even fatality if left untreated or undetected. Over time, these fractures can deteriorate without intervention. To address the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-13 Reza Behbahani Nejad , Amir Hossein Komijani , Esmaeil Najafi

An osteoporosis-related fracture occurs every three seconds worldwide, affecting one in three women and one in five men aged over 50. The early detection of at-risk patients facilitates effective and well-evidenced preventative…

Image and Video Processing · Electrical Eng. & Systems 2020-10-09 David Chettrit , Tomer Meir , Hila Lebel , Mila Orlovsky , Ronen Gordon , Ayelet Akselrod-Ballin , Amir Bar

Spinal degeneration plagues many elders, office workers, and even the younger generations. Effective pharmic or surgical interventions can help relieve degenerative spine conditions. However, the traditional diagnosis procedure is often too…

Computer Vision and Pattern Recognition · Computer Science 2021-11-11 Jiabo He , Wei Liu , Yu Wang , Xingjun Ma , Xian-Sheng Hua

The spinal angle is an important indicator of body balance. It is important to restore the 3D shape of the human body and estimate the spine center line. Existing mul-ti-image-based body restoration methods require expensive equipment and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Sehyun Kim , Hye Jun Lee , Jiwoo Lee , Changgyun Kim , Taemin Lee

This paper introduces SpineFM, a novel pipeline that achieves state-of-the-art performance in the automatic segmentation and identification of vertebral bodies in cervical and lumbar spine radiographs. SpineFM leverages the regular geometry…

Image and Video Processing · Electrical Eng. & Systems 2025-01-28 Samuel J. Simons , Bartłomiej W. Papież