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Related papers: Cone-beam CT for Dental Radiography

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We present MInDI-3D (Medical Inversion by Direct Iteration in 3D), the first 3D conditional diffusion-based model for real-world sparse-view Cone Beam Computed Tomography (CBCT) artefact removal, aiming to reduce imaging radiation exposure.…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Daniel Barco , Marc Stadelmann , Martin Oswald , Ivo Herzig , Lukas Lichtensteiger , Pascal Paysan , Igor Peterlik , Michal Walczak , Bjoern Menze , Frank-Peter Schilling

Spectral computed tomography (CT) has recently emerged as an advanced version of medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two main forms: dual-energy computed tomography (DECT) and…

Cone-beam CT (CBCT) has been widely used in image guided radiation therapy (IGRT) to acquire updated volumetric anatomical information before treatment fractions for accurate patient alignment purpose. However, the excessive x-ray imaging…

Medical Physics · Physics 2010-04-13 Xun Jia , Yifei Lou , John Lewis , Ruijiang Li , Xuejun Gu , Chunhua Men , William Y. Song , Steve B. Jiang

Computerized tomography (CT) has been used for decades by medical professionals to detect and diagnose injuries and ailments. CT scanners are based on interesting physics, but due to their bulk, cost, and safety, hands on experience with a…

Physics Education · Physics 2021-01-28 Vincent Daley , Owen Paetkau , Mark Paetkau

The application of ionizing radiation for diagnostic imaging is common around the globe. However, the process of imaging, itself, remains to be a relatively hazardous operation. Therefore, it is preferable to use as low a dose of ionizing…

Image and Video Processing · Electrical Eng. & Systems 2023-11-01 A. Demir , M. M. A. Shames , O. N. Gerek , S. Ergin , M. Fidan , M. Koc , M. B. Gulmezoglu , A. Barkana , C. Calisir

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

Accurate dose calculations in proton therapy rely on high-quality CT images. While planning CTs (pCTs) serve as a reference for dosimetric planning, Cone Beam CT (CBCT) is used throughout Adaptive Radiotherapy (ART) to generate sCTs for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 David Vallmanya Poch , Yorick Estievenart , Elnura Zhalieva , Sukanya Patra , Mohammad Yaqub , Souhaib Ben Taieb

Deep learning techniques, particularly convolutional neural networks (CNNs), have gained traction for synthetic computed tomography (sCT) generation from Magnetic resonance imaging (MRI), Cone-beam computed tomography (CBCT) and PET. In…

Image and Video Processing · Electrical Eng. & Systems 2023-08-29 Satoshi Kondo , Satoshi Kasai , Kousuke Hirasawa

Cone-beam computed tomography (CBCT) is widely used in interventional surgeries and radiation oncology. Due to the limited size of flat-panel detectors, anatomical structures might be missing outside the limited field-of-view (FOV), which…

Computer Vision and Pattern Recognition · Computer Science 2024-09-16 Yixing Huang , Fuxin Fan , Ahmed Gomaa , Andreas Maier , Rainer Fietkau , Christoph Bert , Florian Putz

Conventional computed tomography (CT) lacks the ability to capture dynamic, weight-bearing joint motion. Functional evaluation, particularly after surgical intervention, requires four-dimensional (4D) imaging, but current methods are…

Computer Vision and Pattern Recognition · Computer Science 2025-08-25 Hao Tang , Rongxi Yi , Lei Li , Kaiyi Cao , Jiapeng Zhao , Yihan Xiao , Minghai Shi , Peng Yuan , Yan Xi , Hui Tang , Wei Li , Zhan Wu , Yixin Zhou

Computed tomography (CT) is increasingly being used for cancer screening, such as early detection of lung cancer. However, CT studies have varying pixel spacing due to differences in acquisition parameters. Thick slice CTs have lower…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 Meng Li , Shiwen Shen , Wen Gao , William Hsu , Jason Cong

Background:Accurate tooth segmentation from cone beam computed tomography (CBCT) images is crucial for digital dentistry but remains challenging in cases of interdental adhesions, which cause severe anatomical shape distortion. Methods: To…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Zongrui Ji , Zhiming Cui , Na Li , Qianhan Zheng , Miaojing Shi , Ke Deng , Jingyang Zhang , Chaoyuan Li , Xuepeng Chen , Yi Dong , Lei Ma

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

The recent application of Fourier Based Iterative Reconstruction Method (FIRM) has made it possible to achieve high-quality 2D images from a fan beam Computed Tomography (CT) scan with a limited number of projections in a fast manner. The…

Image and Video Processing · Electrical Eng. & Systems 2020-06-24 N. Teyfouri , H. Rabbani , R. Kafieh , Iraj Jabbari

Background: Limited-angle (LA) dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations…

X-ray imaging dose from serial cone-beam CT (CBCT) scans raises a clinical concern in most image guided radiation therapy procedures. It is the goal of this paper to develop a fast GPU-based algorithm to reconstruct high quality CBCT images…

Medical Physics · Physics 2015-05-19 Xun Jia , Bin Dong , Yifei Lou , Steve B. Jiang

High-fidelity 3D tooth models are essential for digital dentistry, but must capture both the detailed crown and the complete root. Clinical imaging modalities are limited: Cone-Beam Computed Tomography (CBCT) captures the root but has a…

Image and Video Processing · Electrical Eng. & Systems 2026-01-23 Yi Zhu , Razmig Kechichian , Raphaël Richert , Satoshi Ikehata , Sébastien Valette

Background: Dual-energy imaging on cone-beam CT (CBCT) scanners has great potential in different clinical applications, including image-guided surgery and adaptive proton therapy. However, the clinical practice of dual-energy CBCT (DE-CBCT)…

Cone Beam CT (CBCT) is an important imaging modality nowadays, however lower image quality of CBCT compared to more conventional Computed Tomography (CT) remains a limiting factor in CBCT applications. Deep learning reconstruction methods…

Four-dimensional Cone Beam Computed Tomography (4D-CBCT) has been developed to provide respiratory phase resolved volumetric imaging in image guided radiation therapy (IGRT). Inadequate number of projections in each phase bin results in low…

Medical Physics · Physics 2015-06-03 Xun Jia , Zhen Tian , Yifei Lou , Jan-Jakob Sonke , Steve B. Jiang
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