English
Related papers

Related papers: 3D CBCT Artefact Removal Using Perpendicular Score…

200 papers

In image-guided radiotherapy (IGRT), four-dimensional cone-beam computed tomography (4D-CBCT) is critical for assessing tumor motion during a patients breathing cycle prior to beam delivery. However, generating 4D-CBCT images with…

Medical Physics · Physics 2025-01-09 Yabo Fu , Hao Zhang , Weixing Cai , Huiqiao Xie , Licheng Kuo , Laura Cervino , Jean Moran , Xiang Li , Tianfang Li

Metallic implants introduce severe artifacts in CT images, which degrades the image quality. It is an effective method to reduce metal artifacts by replacing the metal affected projection with the forward projection of a prior image. How to…

Medical Physics · Physics 2014-09-05 Yanbo Zhang , Xuanqian Mou

Advanced image editing techniques, particularly inpainting, are essential for seamlessly removing unwanted elements while preserving visual integrity. Traditional GAN-based methods have achieved notable success, but recent advancements in…

Computer Vision and Pattern Recognition · Computer Science 2024-06-14 Yigit Ekin , Ahmet Burak Yildirim , Erdem Eren Caglar , Aykut Erdem , Erkut Erdem , Aysegul Dundar

Cone-beam computed tomography (CBCT) is widely used in image-guided radiotherapy. Reconstructing CBCTs from limited-angle acquisitions (LA-CBCT) is highly desired for improved imaging efficiency, dose reduction, and better mechanical…

Medical Physics · Physics 2024-04-10 Jiacheng Xie , Hua-Chieh Shao , Yunxiang Li , You Zhang

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

Computed tomography (CT) is widely utilized in clinical settings because it delivers detailed 3D images of the human body. However, performing CT scans is not always feasible due to radiation exposure and limitations in certain surgical…

Image and Video Processing · Electrical Eng. & Systems 2024-07-19 Xuhui Liu , Zhi Qiao , Runkun Liu , Hong Li , Juan Zhang , Xiantong Zhen , Zhen Qian , Baochang Zhang

Image stitching from different captures often results in non-rectangular boundaries, which is often considered unappealing. To solve non-rectangular boundaries, current solutions involve cropping, which discards image content, inpainting,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Tianhao Zhou , Haipeng Li , Ziyi Wang , Ao Luo , Chen-Lin Zhang , Jiajun Li , Bing Zeng , Shuaicheng Liu

This study aims to improve photon counting CT (PCCT) image resolution using denoising diffusion probabilistic models (DDPM). Although DDPMs have shown superior performance when applied to various computer vision tasks, their effectiveness…

Computer Vision and Pattern Recognition · Computer Science 2024-08-29 Chuang Niu , Christopher Wiedeman , Mengzhou Li , Jonathan S Maltz , Ge Wang

The problem of inpainting involves reconstructing the missing areas of an image. Inpainting has many applications, such as reconstructing old damaged photographs or removing obfuscations from images. In this paper we present the directional…

Computer Vision and Pattern Recognition · Computer Science 2015-11-12 Jan Deriu , Rolf Jagerman , Kai-En Tsay

Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces radiation hazards to patients and healthcare providers. Reducing the tracer injection dose and eliminating the CT acquisition for attenuation…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Tianqi Chen , Jun Hou , Yinchi Zhou , Huidong Xie , Xiongchao Chen , Qiong Liu , Xueqi Guo , Menghua Xia , James S. Duncan , Chi Liu , Bo Zhou

Patients undergoing a mechanical thrombectomy procedure usually have a multi-detector CT (MDCT) scan before and after the intervention. The image quality of the flat panel detector CT (FDCT) present in the intervention room is generally…

Image and Video Processing · Electrical Eng. & Systems 2025-08-28 Hélène Corbaz , Anh Nguyen , Victor Schulze-Zachau , Paul Friedrich , Alicia Durrer , Florentin Bieder , Philippe C. Cattin , Marios N Psychogios

Image inpainting is the task of reconstructing missing or damaged parts of an image in a way that seamlessly blends with the surrounding content. With the advent of advanced generative models, especially diffusion models and generative…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Xingzhong Hou , Jie Wu , Boxiao Liu , Yi Zhang , Guanglu Song , Yunpeng Liu , Yu Liu , Haihang You

Pseudo-healthy image inpainting is an essential preprocessing step for analyzing pathological brain MRI scans. Most current inpainting methods favor slice-wise 2D models for their high in-plane fidelity, but their independence across slices…

Image and Video Processing · Electrical Eng. & Systems 2025-07-25 Dou Hoon Kwark , Shirui Luo , Xiyue Zhu , Yudu Li , Zhi-Pei Liang , Volodymyr Kindratenko

Computed tomography (CT) involves a patient's exposure to ionizing radiation. To reduce the radiation dose, we can either lower the X-ray photon count or down-sample projection views. However, either of the ways often compromises image…

Image and Video Processing · Electrical Eng. & Systems 2023-10-12 Wenjun Xia , Yongyi Shi , Chuang Niu , Wenxiang Cong , Ge Wang

Image editing has advanced significantly with the introduction of text-conditioned diffusion models. Despite this progress, seamlessly adding objects to images based on textual instructions without requiring user-provided input masks…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Navve Wasserman , Noam Rotstein , Roy Ganz , Ron Kimmel

We present an inference-time diffusion sampling method to perform multi-view consistent image editing using pre-trained 2D image editing models. These models can independently produce high-quality edits for each image in a set of multi-view…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Hadi Alzayer , Yunzhi Zhang , Chen Geng , Jia-Bin Huang , Jiajun Wu

To obtain high-quality positron emission tomography (PET) scans while reducing radiation exposure to the human body, various approaches have been proposed to reconstruct standard-dose PET (SPET) images from low-dose PET (LPET) images. One…

Image and Video Processing · Electrical Eng. & Systems 2023-08-22 Zeyu Han , Yuhan Wang , Luping Zhou , Peng Wang , Binyu Yan , Jiliu Zhou , Yan Wang , Dinggang Shen

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

Cone-beam X-ray Computed Tomography (XCT) with large detectors and corresponding large-scale 3D reconstruction plays a pivotal role in micron-scale characterization of materials and parts across various industries. In this work, we present…

Computer Vision and Pattern Recognition · Computer Science 2025-01-27 Aniket Pramanik , Obaidullah Rahman , Singanallur V. Venkatakrishnan , Amirkoushyar Ziabari

Diffusion-based sparse-view CT (SVCT) imaging has achieved remarkable advancements in recent years, thanks to its more stable generative capability. However, recovering reliable image content and visually consistent textures is still a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Tianqi Wang , Wenchao Du , Hongyu Yang
‹ Prev 1 3 4 5 6 7 10 Next ›