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Sparse views X-ray computed tomography has emerged as a contemporary technique to mitigate radiation dose. Because of the reduced number of projection views, traditional reconstruction methods can lead to severe artifacts. Recently,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Liutao Yang , Jiahao Huang , Guang Yang , Daoqiang Zhang

Light trapping and radiation process from linear reciprocal photonic resonators is one of the fundamental processes in optical science and engineering. Recently, the concept of coherent virtual absorption (CVA) of light was introduced and…

Optics · Physics 2020-04-01 Q. Zhong , L. Simonson , T. Kottos , R. El-Ganainy

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…

This paper focuses on minimizing the time requirement for CT capture through innovative simultaneous x-ray capture method. The state-of-the-art CT imaging methodology captures a sequence of projections during which the internal organ…

Medical Physics · Physics 2014-04-03 Sajib Saha , Murat Tahtali , Andrew Lambert , Mark Pickering

Attenuation compensation (AC) is a pre-requisite for reliable quantification and beneficial for visual interpretation tasks in single-photon emission computed tomography (SPECT). Typical AC methods require the availability of an attenuation…

Medical Physics · Physics 2021-02-12 Zitong Yu , Md Ashequr Rahman , Thomas Schindler , Richard Laforest , Abhinav K. Jha

Cone beam computed tomography (CBCT) has been widely used in clinical practice, especially in dental clinics, while the radiation dose of X-rays when capturing has been a long concern in CBCT imaging. Several research works have been…

Image and Video Processing · Electrical Eng. & Systems 2022-12-01 Yu Fang , Lanzhuju Mei , Changjian Li , Yuan Liu , Wenping Wang , Zhiming Cui , Dinggang Shen

The CGI (CGI) has the potential of low cost, low dose, and high resolution, which is very attractive for the development of radiation imaging field. However, many sub-coding plates must be used in the modulation process, which greatly…

Medical Physics · Physics 2023-11-02 Zhi Zhou , Sangang Li , Shan Liao , Sirun Gong , Rongrong Su , Chuxiang Zhao , Li Yang , Qi Liu , Yucheng Yan , Mingzhe Liu , Yi Cheng

The clinical application of cone-beam computed tomography (CBCT) is constrained by the inherent trade-off between radiation exposure and image quality. Ultra-sparse angular sampling, employed to reduce dose, introduces severe undersampling…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Junlin Wang , Jiancheng Fang , Peng Peng , Shaoyu Wang , Qiegen Liu

Single-shot ptychography is a quantitative phase imaging method wherein overlapping beams of light arranged in a grid pattern simultaneously illuminate a sample, allowing a full ptychographic dataset to be collected in a single shot. It is…

The Rapid Cycling Synchrotron(RCS) of China Spallation Neutron Source(CSNS) employs painting injection to achieve uniform beam distribution and suppress space-charge effects. In the painting injection, the mismatch between the injection…

Accelerator Physics · Physics 2018-07-04 Xiaohan Lu , Ming-Yang Huang , Sheng Wang

Preserving beam quality during the transportation of high-brightness electron beams is a significant and widespread challenge in the design of modern accelerators. The importance of this issue stems from the fact that the quality of the…

Accelerator Physics · Physics 2024-05-27 Xiuji Chen , Si Chen , Dong Wang

Any proposed solution to the "screen problem" in quantum mechanics -- the challenge of predicting the joint distribution of particle arrival times and impact positions -- must align with the extensive data obtained from scattering…

Quantum Physics · Physics 2025-12-17 Will Cavendish , Siddhant Das

The success of embolisation, a minimally invasive treatment of liver cancer, could be evaluated in the operational room with cone-beam CT by acquiring a dynamic perfusion scan. The reconstruction algorithm must address the issues of low…

We present an improvement on the signal-to-background of single-beam coherent anti-Stokes Raman scattering (SB-CARS) spectroscopy measurements for systems employing ultrafast supercontinuum sources based on all-normal dispersion photonic…

Coherent Anti Stokes Raman Scattering (CARS) offers many advantages for nonlinear bio-imaging, thanks to its sub-cellular spatial resolution and unique chemical specificity. Its working principle requires two incident pulsed laser beams…

As computational complexity in electromagnetics increases with frequency, full-wave solvers become computationally infeasible for electrically large problems. To address this limitation, we present a shooting and bouncing rays (SBR) method…

Computational Engineering, Finance, and Science · Computer Science 2026-04-13 Marco Pasquale , Andong Hu , Luca Pennati , Ivy Peng , Stefano Markidis

The objective of single image dehazing is to restore hazy images and produce clear, high-quality visuals. Traditional convolutional models struggle with long-range dependencies due to their limited receptive field size. While Transformers…

Computer Vision and Pattern Recognition · Computer Science 2024-05-10 Lihan Tong , Yun Liu , Tian Ye , Weijia Li , Liyuan Chen , Erkang Chen

In this work, we present a method for targeted, maskless, and scalable fabrication of single silicon vacancy (VSi) defect arrays in silicon carbide (SiC) using focused ion beam. The resolution of implanted VSi defects is limited to a few…

In this paper, we present our approach to the 3D CBCT Challenge 2024, a part of ICASSP SP Grand Challenges 2024. Improvement in Cone Beam Computed Tomography (CBCT) reconstruction has been achieved by integrating Swin Image Restoration…

Image and Video Processing · Electrical Eng. & Systems 2024-11-19 Sasidhar Alavala , Subrahmanyam Gorthi

In this paper, we propose binary sparse convolutional networks called BSC-Net for efficient point cloud analysis. We empirically observe that sparse convolution operation causes larger quantization errors than standard convolution. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Xiuwei Xu , Ziwei Wang , Jie Zhou , Jiwen Lu