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

200 papers

Cone-beam computed tomography (CBCT) is widely used for image-guided radiotherapy (IGRT). It provides real time visualization at low cost and dose. However, photon scattering and beam hindrance cause artifacts in CBCT. These include…

Medical Physics · Physics 2025-09-29 Alzahra Altalib , Chunhui Li , Alessandro Perelli

Individual tooth segmentation and identification from cone-beam computed tomography images are preoperative prerequisites for orthodontic treatments. Instance segmentation methods using convolutional neural networks have demonstrated…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 Jusang Lee , Minyoung Chung , Minkyung Lee , Yeong-Gil Shin

Computer-Assisted Interventions enable clinicians to perform precise, minimally invasive procedures, often relying on advanced imaging methods. Cone-beam computed tomography (CBCT) can be used to facilitate computer-assisted interventions,…

Image and Video Processing · Electrical Eng. & Systems 2024-12-04 Maximilian E. Tschuchnig , Philipp Steininger , Michael Gadermayr

We present a fully automated method of integrating intraoral scan (IOS) and dental cone-beam computerized tomography (CBCT) images into one image by complementing each image's weaknesses. Dental CBCT alone may not be able to delineate…

Image and Video Processing · Electrical Eng. & Systems 2024-02-22 Tae Jun Jang , Hye Sun Yun , Chang Min Hyun , Jong-Eun Kim , Sang-Hwy Lee , Jin Keun Seo

Cone Beam Computed Tomography (CBCT) is pivotal for 3D diagnostic imaging in dentistry. However, the development of robust AI models for volumetric analysis is often constrained by the scarcity of large, annotated datasets. Self-supervised…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Xinquan Yang , Jianfeng Ren , Xuguang Li , Kian Ming Lim , He Meng , Linlin Shen , Yongqiang Deng

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

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

Individual tooth segmentation from cone beam computed tomography (CBCT) images is an essential prerequisite for an anatomical understanding of orthodontic structures in several applications, such as tooth reformation planning and implant…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Minyoung Chung , Minkyung Lee , Jioh Hong , Sanguk Park , Jusang Lee , Jingyu Lee , Jeongjin Lee , Yeong-Gil Shin

This study introduces a novel reconstruction method for dental cone-beam computed tomography (CBCT), focusing on effectively reducing metal-induced artifacts commonly encountered in the presence of prevalent metallic implants. Despite…

Computer Vision and Pattern Recognition · Computer Science 2023-07-28 Hyoung Suk Park , Kiwan Jeon , Jin Keun Seo

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 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

Accurate tooth identification and segmentation in Cone Beam Computed Tomography (CBCT) dental images can significantly enhance the efficiency and precision of manual diagnoses performed by dentists. However, existing segmentation methods…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Pengyu Dai , Yafei Ou , Yuqiao Yang , Yang Liu , Yue Zhao

We provide a fast and accurate scatter artifacts correction algorithm for cone beam CT (CBCT) imaging. The method starts with an estimation of coarse scatter profile for a set of CBCT images. A total-variation denoising algorithm designed…

Medical Physics · Physics 2015-01-20 Wei Zhao , Jun Zhu , Luyao Wang

Cone beam computed tomography (CBCT) is an important imaging technology widely used in medical scenarios, such as diagnosis and preoperative planning. Using fewer projection views to reconstruct CT, also known as sparse-view reconstruction,…

Image and Video Processing · Electrical Eng. & Systems 2024-06-07 Yiqun Lin , Jiewen Yang , Hualiang Wang , Xinpeng Ding , Wei Zhao , Xiaomeng Li

The purpose of this work is to provide a fast and accurate scatter artifacts correction algorithm for cone beam CT (CBCT) imaging. The method starts with an estimation of coarse scatter profiles for a set of CBCT data in either image domain…

Medical Physics · Physics 2016-04-27 Wei Zhao , Don Vernekohl , Jun Zhu , Luyao Wang , Lei Xing

Cone-beam computed tomography (CBCT) using only a few X-ray projection views enables faster scans with lower radiation dose, but the resulting severe under-sampling causes strong artifacts and poor spatial coverage. We address these…

Image and Video Processing · Electrical Eng. & Systems 2025-06-25 Minmin Yang , Huantao Ren , Senem Velipasalar

With the mushrooming use of computed tomography (CT) images in clinical decision making, management of CT data becomes increasingly difficult. From the patient identification perspective, using the standard DICOM tag to track patient…

Computer Vision and Pattern Recognition · Computer Science 2020-06-01 Jiuwen Zhu , Hu Han , S. Kevin Zhou

Bone marrow cytology is required to make a hematological diagnosis, influencing critical clinical decision points in hematology. However, bone marrow cytology is tedious, limited to experienced reference centers and associated with high…

Image and Video Processing · Electrical Eng. & Systems 2021-07-09 Rohollah Moosavi Tayebi , Youqing Mu , Taher Dehkharghanian , Catherine Ross , Monalisa Sur , Ronan Foley , Hamid R. Tizhoosh , Clinton JV Campbell

In dental cone-beam computed tomography (CBCT), compact and cost-effective system designs often use small detectors, resulting in a truncated field of view (FOV) that does not fully encompass the patient's head. In iterative reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Hyoung Suk Park , Kiwan Jeon

Analysis of dental radiographs is an important part of the diagnostic process in daily clinical practice. Interpretation by an expert includes teeth detection and numbering. In this project, a novel solution based on adaptive histogram…

Image and Video Processing · Electrical Eng. & Systems 2020-05-05 Yaqi Wang , Lingling Sun , Yifang Zhang , Dailin Lv , Zhixing Li , Wuteng Qi