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Automated landmark detection offers an efficient approach for medical professionals to understand patient anatomic structure and positioning using intra-operative imaging. While current detection methods for pelvic fluoroscopy demonstrate…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Chou Mo , Yehyun Suh , J. Ryan Martin , Daniel Moyer

Intra-operative 2D-3D registration of X-ray images with pre-operatively acquired CT scans is a crucial procedure in orthopedic surgeries. Anatomical landmarks pre-annotated in the CT volume can be detected in X-ray images to establish 2D-3D…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Pragyan Shrestha , Chun Xie , Yuichi Yoshii , Itaru Kitahara

Fully automatic X-ray to CT registration requires a solid initialization to provide an initial alignment within the capture range of existing intensity-based registrations. This work adresses that need by providing a novel automatic…

Image and Video Processing · Electrical Eng. & Systems 2021-04-16 Matthias Grimm , Javier Esteban , Mathias Unberath , Nassir Navab

Localizing oneself during endoscopic procedures can be problematic due to the lack of distinguishable textures and landmarks, as well as difficulties due to the endoscopic device such as a limited field of view and challenging lighting…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Gary Sarwin , Alessandro Carretta , Victor Staartjes , Matteo Zoli , Diego Mazzatenta , Luca Regli , Carlo Serra , Ender Konukoglu

Image landmark detection aims to automatically identify the locations of predefined fiducial points. Despite recent success in this field, higher-ordered structural modeling to capture implicit or explicit relationships among anatomical…

Computer Vision and Pattern Recognition · Computer Science 2020-12-09 Weijian Li , Yuhang Lu , Kang Zheng , Haofu Liao , Chihung Lin , Jiebo Luo , Chi-Tung Cheng , Jing Xiao , Le Lu , Chang-Fu Kuo , Shun Miao

Accurate and reliable C-arm positioning is essential for fluoroscopy-guided interventions. However, clinical workflows rely on manual alignment that increases radiation exposure and procedural delays. In this work, we present a pipeline…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Ahmad Arrabi , Jay Hwasung Jung , Jax Luo , Nathan Franssen , Scott Raymond , Safwan Wshah

Statistical shape analysis is a very useful tool in a wide range of medical and biological applications. However, it typically relies on the ability to produce a relatively small number of features that can capture the relevant variability…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Riddhish Bhalodia , Ladislav Kavan , Ross Whitaker

Colonoscopy is a standard imaging tool for visualizing the entire gastrointestinal (GI) tract of patients to capture lesion areas. However, it takes the clinicians excessive time to review a large number of images extracted from colonoscopy…

Computer Vision and Pattern Recognition · Computer Science 2021-08-09 Kaiwei Che , Chengwei Ye , Yibing Yao , Nachuan Ma , Ruo Zhang , Jiankun Wang , Max Q. -H. Meng

Many minimally invasive interventional procedures still rely on 2D fluoroscopic imaging. Generating a patient-specific 3D model from these X-ray projection data would allow to improve the procedural workflow, e.g. by providing assistance…

Image and Video Processing · Electrical Eng. & Systems 2021-02-08 Karthik Shetty , Annette Birkhold , Norbert Strobel , Bernhard Egger , Srikrishna Jaganathan , Markus Kowarschik , Andreas Maier

Visual cues of enforcing bilaterally symmetric anatomies as normal findings are widely used in clinical practice to disambiguate subtle abnormalities from medical images. So far, inadequate research attention has been received on…

Computer Vision and Pattern Recognition · Computer Science 2020-07-24 Haomin Chen , Yirui Wang , Kang Zheng , Weijian Li , Chi-Tung Cheng , Adam P. Harrison , Jing Xiao , Gregory D. Hager , Le Lu , Chien-Hung Liao , Shun Miao

Anatomical landmark correspondences in medical images can provide additional guidance information for the alignment of two images, which, in turn, is crucial for many medical applications. However, manual landmark annotation is…

Computer Vision and Pattern Recognition · Computer Science 2020-04-09 Monika Grewal , Timo M. Deist , Jan Wiersma , Peter A. N. Bosman , Tanja Alderliesten

Surgical phase recognition (SPR) is a crucial element in the digital transformation of the modern operating theater. While SPR based on video sources is well-established, incorporation of interventional X-ray sequences has not yet been…

Machine Learning · Computer Science 2023-04-20 Benjamin D. Killeen , Han Zhang , Jan Mangulabnan , Mehran Armand , Russel H. Taylor , Greg Osgood , Mathias Unberath

The pelvis, the lower part of the trunk, supports and balances the trunk. Landmark detection from a pelvic X-ray (PXR) facilitates downstream analysis and computer-assisted diagnosis and treatment of pelvic diseases. Although PXRs have the…

Image and Video Processing · Electrical Eng. & Systems 2023-06-08 Zhen Huang , Han Li , Shitong Shao , Heqin Zhu , Huijie Hu , Zhiwei Cheng , Jianji Wang , S. Kevin Zhou

X-ray based measurement and guidance are commonly used tools in orthopaedic surgery to facilitate a minimally invasive workflow. Typically, a surgical planning is first performed using knowledge of bone morphology and anatomical landmarks.…

Image and Video Processing · Electrical Eng. & Systems 2019-07-25 Florian Kordon , Peter Fischer , Maxim Privalov , Benedict Swartman , Marc Schnetzke , Jochen Franke , Ruxandra Lasowski , Andreas Maier , Holger Kunze

Radiographic images are a cornerstone of medical diagnostics in orthopaedics, with anatomical landmark detection serving as a crucial intermediate step for information extraction. General-purpose foundational segmentation models, such as…

Image and Video Processing · Electrical Eng. & Systems 2026-02-23 Ekaterina Stansfield , Jennifer A. Mitterer , Abdulrahman Altahhan

Anatomical landmarks are a crucial prerequisite for many medical imaging tasks. Usually, the set of landmarks for a given task is predefined by experts. The landmark locations for a given image are then annotated manually or via machine…

Computer Vision and Pattern Recognition · Computer Science 2020-01-23 Richard Droste , Pierre Chatelain , Lior Drukker , Harshita Sharma , Aris T. Papageorghiou , J. Alison Noble

Purpose: Deformable Image Registration (DIR) can benefit from additional guidance using corresponding landmarks in the images. However, the benefits thereof are largely understudied, especially due to the lack of automatic landmark…

Computer Vision and Pattern Recognition · Computer Science 2023-02-28 Monika Grewal , Jan Wiersma , Henrike Westerveld , Peter A. N. Bosman , Tanja Alderliesten

Hip and pelvic fractures are serious injuries with life-threatening complications. However, diagnostic errors of fractures in pelvic X-rays (PXRs) are very common, driving the demand for computer-aided diagnosis (CAD) solutions. A major…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Yirui Wang , Le Lu , Chi-Tung Cheng , Dakai Jin , Adam P. Harrison , Jing Xiao , Chien-Hung Liao , Shun Miao

Landmark/pose estimation in single monocular images have received much effort in computer vision due to its important applications. It remains a challenging task when input images severe occlusions caused by, e.g., adverse camera views.…

Computer Vision and Pattern Recognition · Computer Science 2019-02-26 Yu Chen , Chunhua Shen , Hao Chen , Xiu-Shen Wei , Lingqiao Liu , Jian Yang

Fast and accurate anatomical landmark detection can benefit many medical image analysis methods. Here, we propose a method to automatically detect anatomical landmarks in medical images. Automatic landmark detection is performed with a…

Computer Vision and Pattern Recognition · Computer Science 2018-04-16 Julia M. H. Noothout , Bob D. de Vos , Jelmer M. Wolterink , Tim Leiner , Ivana Išgum
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