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During spinal fusion surgery, screws are placed close to critical nerves suggesting the need for highly accurate screw placement. Verifying screw placement on high-quality tomographic imaging is essential. C-arm Cone-beam CT (CBCT) provides…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Mareike Thies , Jan-Nico Zäch , Cong Gao , Russell Taylor , Nassir Navab , Andreas Maier , Mathias Unberath

Medical imaging is vital in computer assisted intervention. Particularly cone beam computed tomography (CBCT) with defacto real time and mobility capabilities plays an important role. However, CBCT images often suffer from artifacts, which…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Maximilian E. Tschuchnig , Philipp Steininger , Michael Gadermayr

Cone beam computed tomography (CBCT) is an emerging medical imaging technique to visualize the internal anatomical structures of patients. During a CBCT scan, several projection images of different angles or views are collectively utilized…

Image and Video Processing · Electrical Eng. & Systems 2024-01-18 Heejun Shin , Taehee Kim , Jongho Lee , Se Young Chun , Seungryung Cho , Dongmyung Shin

Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predetermined rotation angles of the component about a single…

Image and Video Processing · Electrical Eng. & Systems 2024-07-19 Jingsong Lin , Singanallur Venkatakrishnan , Gregery Buzzard , Amir Koushyar Ziabari , Charles Bouman

Cone-Beam Computed Tomography (CBCT) is widely used for intraoperative imaging due to its rapid acquisition and low radiation dose. However, CBCT images typically suffer from artifacts and lower visual quality compared to conventional…

Image and Video Processing · Electrical Eng. & Systems 2025-07-09 Maximilian Tschuchnig , Lukas Lamminger , Philipp Steininger , Michael Gadermayr

Autonomous robots in endovascular operations have the potential to navigate circulatory systems safely and reliably while decreasing the susceptibility to human errors. However, there are numerous challenges involved with the process of…

Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation therapy (IGRT) to provide updated patient anatomy information for cancer treatments. However, CBCT images often suffer from streaking artifacts and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Jiarui Zhu , Werxing Chen , Hongfei Sun , Shaohua Zhi , Jing Qin , Jing Cai , Ge Ren

One of the major challenges of a real-time autonomous robotic system for construction monitoring is to simultaneously localize, map, and navigate over the lifetime of the robot, with little or no human intervention. Past research on…

Accurate identification, localization, and segregation of teeth from Cone Beam Computed Tomography (CBCT) images are essential for analyzing dental pathologies. Modeling an individual tooth can be challenging and intricate to accomplish,…

Deep learning based approaches have been used to improve image quality in cone-beam computed tomography (CBCT), a medical imaging technique often used in applications such as image-guided radiation therapy, implant dentistry or…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Mohammadreza Amirian , Daniel Barco , Ivo Herzig , Frank-Peter Schilling

Detection of blood cells in microscopic images has become a major focus of medical image analysis, playing a crucial role in gaining valuable insights into a patient's health. Manual blood cell checks for disease detection are known to be…

Computer Vision and Pattern Recognition · Computer Science 2025-07-28 Ahmed Endris Hasen , Yang Shangming , Chiagoziem C. Ukwuoma , Biniyam Gashaw , Abel Zenebe Yutra

Endovascular robots have been actively developed in both academia and industry. However, progress toward autonomous catheterization is often hampered by the widespread use of closed-source simulators and physical phantoms. Additionally, the…

This study introduces a pioneering approach in brain-computer interface (BCI) technology, featuring our novel concept of complex visual imagery for non-invasive electroencephalography (EEG)-based communication. Complex visual imagery, as…

Human-Computer Interaction · Computer Science 2025-11-20 Byoung-Hee Kwon

The recent surge in interest in autonomous driving stems from its rapidly developing capacity to enhance safety, efficiency, and convenience. A pivotal aspect of autonomous driving technology is its perceptual systems, where core algorithms…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Qi Zhang , Siyuan Gou , Wenbin Li

Objectives Computer vision (CV) is a field of artificial intelligence that enables machines to interpret and understand images and videos. CV has the potential to be of assistance in the operating room (OR) to track surgical instruments. We…

Cone-beam CT (CBCT) is installed in the treatment room to facilitate online clinical applications, including image guidance in radiation and surgery. Half-fan and short-can are the commonly used modes in clinical applications to expand the…

Medical Physics · Physics 2022-05-24 Junbo Peng

Real-time cone-beam computed tomography (CBCT) provides instantaneous visualization of patient anatomy for image guidance, motion tracking, and online treatment adaptation in radiotherapy. While many real-time imaging and motion tracking…

Medical Physics · Physics 2024-09-27 Hua-Chieh Shao , Tielige Mengke , Tinsu Pan , You Zhang

In radiation therapy (RT), the reliance on pre-treatment computed tomography (CT) images encounter challenges due to anatomical changes, necessitating adaptive planning. Daily cone-beam CT (CBCT) imaging, pivotal for therapy adjustment,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-20 Joonil Hwang , Sangjoon Park , NaHyeon Park , Seungryong Cho , Jin Sung Kim

Background: Cone-beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image-guided radiotherapy (IGRT) process, thereby making it a potential imaging…

Colorectal endoscopy is important for the early detection and treatment of colorectal cancer and is used worldwide. A computer-aided diagnosis (CAD) system that provides an objective measure to endoscopists during colorectal endoscopic…

Computer Vision and Pattern Recognition · Computer Science 2016-12-22 Tsubasa Hirakawa , Toru Tamaki , Bisser Raytchev , Kazufumi Kaneda , Tetsushi Koide , Shigeto Yoshida , Hiroshi Mieno , Shinji Tanaka