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Related papers: Dental pathology detection in 3D cone-beam CT

200 papers

High quality reconstruction with interventional C-arm cone-beam computed tomography (CBCT) requires exact geometry information. If the geometry information is corrupted, e. g., by unexpected patient or system movement, the measured signal…

Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning. In this paper, we propose FDNet, a Feature Decoupled Segmentation Network, to excel in the face of the variable dental…

Computer Vision and Pattern Recognition · Computer Science 2024-09-06 Xiang Feng , Chengkai Wang , Chengyu Wu , Yunxiang Li , Yongbo He , Shuai Wang , Yaiqi Wang

This paper provides a fast and patient-specific scatter artifact correction method for cone-beam computed tomography (CBCT) used in image-guided interventional procedures. Due to increased irradiated volume of interest in CBCT imaging,…

Medical Physics · Physics 2015-01-20 Wei Zhao , Stephen Brunner , Kai Niu , Sebastian Schafer , Kevin Royalty , Guang-Hong Chen

3D tooth segmentation is a prerequisite for computer-aided dental diagnosis and treatment. However, segmenting all tooth regions manually is subjective and time-consuming. Recently, deep learning-based segmentation methods produce…

Computer Vision and Pattern Recognition · Computer Science 2022-06-20 Weiwei Cui , Yaqi Wang , Qianni Zhang , Huiyu Zhou , Dan Song , Xingyong Zuo , Gangyong Jia , Liaoyuan Zeng

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…

Diagnostic stroke imaging with C-arm cone-beam computed tomography (CBCT) enables reduction of time-to-therapy for endovascular procedures. However, the prolonged acquisition time compared to helical CT increases the likelihood of rigid…

Image and Video Processing · Electrical Eng. & Systems 2019-12-02 Alexander Preuhs , Michael Manhart , Philipp Roser , Bernhard Stimpel , Christopher Syben , Marios Psychogios , Markus Kowarschik , Andreas Maier

A critical step in virtual dental treatment planning is to accurately delineate all tooth-bone structures from CBCT with high fidelity and accurate anatomical information. Previous studies have established several methods for CBCT…

Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in clinical practice. The two key challenges in developing automated…

Computer Vision and Pattern Recognition · Computer Science 2020-02-28 Yu Zhang , Xiaoqin Wang , Hunter Blanton , Gongbo Liang , Xin Xing , Nathan Jacobs

Undersampled CT volumes minimize acquisition time and radiation exposure but introduce artifacts degrading image quality and diagnostic utility. Reducing these artifacts is critical for high-quality imaging. We propose a computationally…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Johannes Thalhammer , Tina Dorosti , Sebastian Peterhansl , Daniela Pfeiffer , Franz Pfeiffer , Florian Schaff

In orthodontic treatment, a full tooth model consisting of both the crown and root is indispensable in making the treatment plan. However, acquiring tooth root information to obtain the full tooth model from CBCT images is sometimes…

Computer Vision and Pattern Recognition · Computer Science 2022-11-29 Yuezhi Yang , Zhiming Cui , Changjian Li , Wenping Wang

Cone beam computed tomography (CBCT)-guided puncture has become an established approach for diagnosing and treating early- to mid-stage thoracic tumours, yet the associated radiation exposure substantially elevates the risk of secondary…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Haoshen Wang , Lei Chen , Wei-Hua Zhang , Linxia Wu , Yong Luo , Zengmao Wang , Yuan Xiong , Chengcheng Zhu , Wenjuan Tang , Xueyi Zhang , Wei Zhou , Xuhua Duan , Lefei Zhang , Gao-Jun Teng , Bo Du , Huangxuan Zhao

Three-dimensional (3D) reconstruction of head Computed Tomography (CT) images elucidates the intricate spatial relationships of tissue structures, thereby assisting in accurate diagnosis. Nonetheless, securing an optimal head CT scan…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Bowen Zheng , Chenxi Huang , Yuemei Luo

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

Comb Sign is an important imaging biomarker to detect multiple gastrointestinal diseases. It shows up as increased blood flow along the intestinal wall indicating potential abnormality, which helps doctors diagnose inflammatory conditions.…

Image and Video Processing · Electrical Eng. & Systems 2025-03-03 Shashwat Gupta , Sarthak Gupta , Akshan Agrawal , Mahim Naaz , Rajanikanth Yadav , Priyanka Bagade

We develop a Computer Aided Diagnosis (CAD) system, which enhances the performance of dentists in detecting wide range of dental caries. The CAD System achieves this by acting as a second opinion for the dentists with way higher sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2017-11-27 Muktabh Mayank Srivastava , Pratyush Kumar , Lalit Pradhan , Srikrishna Varadarajan

Cone-beam computed tomography (CBCT) is an imaging modality widely used in head and neck diagnostics due to its accessibility and lower radiation dose. However, its relatively long acquisition times make it susceptible to patient motion,…

Accurate 3D dental imaging is vital for diagnosis and treatment planning, yet CBCT's high radiation dose and cost limit its accessibility. Reconstructing 3D volumes from a single low-dose panoramic X-ray is a promising alternative but…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Wen Ma , Jiaxiang Liu , Zikai Xiao , Ziyang Wang , Feng Yang , Zuozhu Liu

Tooth segmentation in Cone-Beam Computed Tomography (CBCT) remains challenging, especially for fine structures like root apices, which is critical for assessing root resorption in orthodontics. We introduce GEPAR3D, a novel approach that…

External cervical resorption (ECR) is a resorptive process affecting teeth. While in some patients, active resorption ceases and gets replaced by osseous tissue, in other cases, the resorption progresses and ultimately results in tooth…

Computer Vision and Pattern Recognition · Computer Science 2025-01-10 Sadhana Ravikumar , Asma A. Khan , Matthew C. Davis , Beatriz Paniagua

Purpose: Radiologists are tasked with visually scrutinizing large amounts of data produced by 3D volumetric imaging modalities. Small signals can go unnoticed during the 3d search because they are hard to detect in the visual periphery.…

Human-Computer Interaction · Computer Science 2024-05-02 Devi Klein , Srijita Karmakar , Aditya Jonnalagadda , Craig K. Abbey , Miguel P. Eckstein