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In the context of dynamic emission tomography, the conventional processing pipeline consists of independent image reconstruction of single time frames, followed by the application of a suitable kinetic model to time activity curves (TACs)…

Applications · Statistics 2018-08-28 Michele Scipioni , Stefano Pedemonte , Maria Filomena Santarelli , Luigi Landini

Positron Emission Tomography (PET) is an important molecular imaging tool widely used in medicine. Traditional PET systems rely on complete detector rings for full angular coverage and reliable data collection. However, incomplete-ring PET…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Yeqi Fang , Rong Zhou

In SPECT imaging, the identification and detection of a lesion rely either on visual inspection of the reconstructed tomographic images or post-processing image analysis methods. Both approaches do not provide the capability to attribute a…

Image and Video Processing · Electrical Eng. & Systems 2020-08-31 Costas N. Papanicolas , Loizos Koutsantonis , Efstathios Stiliaris

We show that unsupervised machine learning can be used to learn physical and chemical transformation pathways from the observational microscopic data, as demonstrated for atomically resolved images in Scanning Transmission Electron…

Plasma diagnostics often employ computerized tomography to estimate emissivity profiles from a finite, and often limited, number of line-integrated measurements. Decades of algorithmic refinement have brought considerable improvements, and…

Plasma Physics · Physics 2026-03-12 D. Hamm , C. Theiler , M. Simeoni , B. P. Duval , T. Debarre , L. Simons , J. R. Queralt

Cosmic ray muons enable non-invasive imaging of dense structures through multipleCoulomb scattering (MCS), with scattering angles dependent on atomic number (Z). Traditional algorithms like Point of Closest Approach (PoCA) assume single…

Applied Physics · Physics 2026-03-09 Reshma Ughade , Stylianos Chatzidakis

Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructing images of the electrical conductivity of tissues and materials. It is popular in diverse application areas, from medical imaging to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Shuaikai Shi , Ruiyuan Kang , Panos Liatsis

Principal Component Analysis (PCA) minimizes the reconstruction error given a class of linear models of fixed component dimensionality. Probabilistic PCA adds a probabilistic structure by learning the probability distribution of the PCA…

Machine Learning · Computer Science 2022-09-20 Vanessa Böhm , Uroš Seljak

Nuclear $\beta$ decay, a sensitive probe of nuclear structure and weak interactions, has become a precision test bed for physics beyond the Standard Model, driven by recent advances in spectrometric techniques. Here we introduce tomographic…

Nuclear Experiment · Physics 2025-12-02 PandaX Collaboration , Zhe Yuan , Zihao Bo , Wei Chen , Xun Chen , Yunhua Chen , Chen Cheng , Xiangyi Cui , Manna Deng , Yingjie Fan , Deqing Fang , Xuanye Fu , Zhixing Gao , Yujie Ge , Lisheng Geng , Karl Giboni , Xunan Guo , Xuyuan Guo , Zichao Guo , Chencheng Han , Ke Han , Changda He , Jinrong He , Houqi Huang , Junting Huang , Yule Huang , Ruquan Hou , Xiangdong Ji , Yonglin Ju , Xiaorun Lan , Chenxiang Li , Jiafu Li , Mingchuan Li , Peiyuan Li , Shuaijie Li , Tao Li , Yangdong Li , Zhiyuan Li , Qing Lin , Jianglai Liu , Yuanchun Liu , Congcong Lu , Xiaoying Lu , Lingyin Luo , Yunyang Luo , Yugang Ma , Yajun Mao , Yue Meng , Binyu Pang , Ningchun Qi , Zhicheng Qian , Xiangxiang Ren , Dong Shan , Xiaofeng Shang , Xiyuan Shao , Guofang Shen , Manbin Shen , Wenliang Sun , Xuyan Sun , Yi Tao , Yueqiang Tian , Yuxin Tian , Anqing Wang , Guanbo Wang , Hao Wang , Haoyu Wang , Jiamin Wang , Lei Wang , Meng Wang , Qiuhong Wang , Shaobo Wang , Shibo Wang , Siguang Wang , Wei Wang , Xu Wang , Zhou Wang , Yuehuan Wei , Weihao Wu , Yuan Wu , Mengjiao Xiao , Xiang Xiao , Kaizhi Xiong , Jianqin Xu , Yifan Xu , Shunyu Yao , Binbin Yan , Xiyu Yan , Yong Yang , Peihua Ye , Chunxu Yu , Ying Yuan , Youhui Yun , Xinning Zeng , Minzhen Zhang , Peng Zhang , Shibo Zhang , Siyuan Zhang , Shu Zhang , Tao Zhang , Wei Zhang , Yang Zhang , Yingxin Zhang , Yuanyuan Zhang , Li Zhao , Kangkang Zhao , Jifang Zhou , Jiaxu Zhou , Jiayi Zhou , Ning Zhou , Xiaopeng Zhou , Zhizhen Zhou , Chenhui Zhu , Marlom Ramalho , Jouni Suhonen

The Advanced Experimental Fuel Counter (AEFC) is a nondestructive assay (NDA) instrument designed to determine the residual fissile mass in irradiated fuel assemblies for safeguards verification purposes. This is done by actively…

This work is the second part of a simulation study investigating the processing of densely packed and moving granular assemblies by positron emission particle tracking (PEPT). Since medical PET scanners commonly used for PEPT are very…

To correct for respiratory motion in PET imaging, an interpretable and unsupervised deep learning technique, FlowNet-PET, was constructed. The network was trained to predict the optical flow between two PET frames from different breathing…

Image and Video Processing · Electrical Eng. & Systems 2022-08-04 Teaghan O'Briain , Carlos Uribe , Kwang Moo Yi , Jonas Teuwen , Ioannis Sechopoulos , Magdalena Bazalova-Carter

Dynamic positron emission tomography (PET) images can reveal the distribution of tracers in the organism and the dynamic processes involved in biochemical reactions, and it is widely used in clinical practice. Despite the high effectiveness…

Image and Video Processing · Electrical Eng. & Systems 2025-12-22 Jie Sun , Junyan Zhang , Qian Xia , Chuanfu Sun , Yumei Chen , Yunjie Yang , Huafeng Liu , Wentao Zhu , Qiegen Liu

An IAEA research project was dedicated to the compilation, evaluation and recommendation of cross-section data for the accelerator production of $^{11}$C, $^{13}$N, $^{15}$O, $^{18}$F, $^{64}$Cu, and $^{124}$I positron-emitting…

Nuclear Experiment · Physics 2020-06-08 A. Hermanne , F. T. Tárkányi , A. V. Ignatyuk , S. Takács , R. Capote

The development of fast and accurate image reconstruction algorithms is a central aspect of computed tomography. In this paper, we investigate this issue for the sparse data problem in photoacoustic tomography (PAT). We develop a direct and…

Computer Vision and Pattern Recognition · Computer Science 2018-08-31 Stephan Antholzer , Markus Haltmeier , Johannes Schwab

Photomultiplier tubes (PMTs) are widely employed in particle and nuclear physics experiments. The accuracy of PMT waveform reconstruction directly impacts the detector's spatial and energy resolution. A key challenge arises when multiple…

High Energy Physics - Experiment · Physics 2026-02-06 Kainan Liu , Jingyu Huang , Guihong Huang , Jianyi Luo

Electrical Impedance Tomography (EIT) is a highly ill-posed inverse problem, with the challenge of reconstructing internal conductivities using only boundary voltage measurements. Although Physics-Informed Neural Networks (PINNs) have shown…

Machine Learning · Computer Science 2025-03-17 Xuanxuan Yang , Yangming Zhang , Haofeng Chen , Gang Ma , Xiaojie Wang

Pool fires are canonical representations of many accidental fires, which can exhibit an unstable unsteady behaviour, known as puffing, which involves a strong coupling between the temperature and velocity fields. Despite their practical…

Fluid Dynamics · Physics 2022-09-07 Michael Philip Sitte , Nguyen Anh Khoa Doan

Positron emission tomography (PET) is an important functional medical imaging technique often used in the evaluation of certain brain disorders, whose reconstruction problem is ill-posed. The vast majority of reconstruction methods in PET…

Image and Video Processing · Electrical Eng. & Systems 2023-06-09 Tin Vlašić , Tomislav Matulić , Damir Seršić

Electrical impedance tomography (EIT) is a non-invasive imaging method in which an unknown physical body is probed with electric currents applied on the boundary, and the internal conductivity distribution is recovered from the measured…

Numerical Analysis · Mathematics 2014-02-07 Sarah Jane Hamilton , Samuli Siltanen